Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Software Engineer (Python) to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you’ve been challenged before? Think again!

• Scale: Over 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best. Code alongside industry leaders and up-skill in record time.
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com, and Mr D. We like to promote from within: Here’s your chance.

Who’s who in the tech space

This position reports to the respective team's manager.

Your mission, should you choose to accept it:

As a Software Engineer, you will be someone whose expertise directly translates into developing robust software in the e-commerce domain. You will have the opportunity to implement best practices to improve existing software and participate in the development of new features. While we don't promote after-hours work as part of the regular workday, we run a 24/7 business with the need to keep systems up and running. Software Engineers are expected to provide after-hours support on a rotational basis to resolve critical system issues if needed.

• Design and build solutions to assist our business users and improve customer experience
• Architect and design solutions with your team
• Develop code, making major improvements to non-functional areas
• Develop high-quality production code for work of high complexity and scale
• Utilize and improve functional and non-functional testing practices
• Champion, challenge, and iterate on best practices within engineering
• Design solutions for complex problems with difficult decision trade-offs, typically system or domain-wide
• Participate in and collaborate on architecture proposals across engineering
• Support alignment of architecture across the organisation
• Respond to and resolve bugs in production for systems in your division
• Respond to alerts and support incident response within your division
• Investigate and drive the resolution of issues that impact multiple teams
• Support, challenge existing, and define new engineering processes and directives
• Review and contribute fixes and content to internal documentation
• React to technology trends, identifying risks and opportunities for your division's technologies, systems, and domains
• Share knowledge through blog posts, tech talks, and workshops across engineering
• Contribute to discussions and decisions in the division
• Challenge others to always produce work of the highest quality
• REST and RPC API implementation and maintenance (using Python)
• Develop and maintain automation tests
• Liaise with various internal stakeholders to discuss project requirements, progress, etc.

The skills we need:

• Solutions-oriented, can-do attitude, and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Ability to dis-aggregate and structure solutions to ambiguous problems
• Solid quantitative skills
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor’s degree or an Advanced Diploma in Computer Science, Engineering, or related field (or equivalent practical experience).
• 5 to 10 years in a software development role
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures, and algorithms
• Experience in writing robust, efficient production code
• Proficient in a strongly typed open source language such as Python, Java, Golang, etc
• Exposure to RESTful APIs and web services.
• Experience with SQL database systems
• Experience with development in a Linux environment

Experience in the following will be advantageous:

• Familiarity with microservices architecture 
• Experience working in an Agile environment 
• MySQL, PostgreSQL, MS SQL
• Memcached, Redis
• Message Brokers, Queues, and PubSub systems (e.g., Kafka and RabbitMQ)
• Containerisation (e.g., Docker)
• Orchestration (e.g., Kubernetes)
• GitHub, Travis CI, Jenkins
• AWS, GCP, Azure
• JavaScript, React, jQuery

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like, high-five, collab, and make something great.
• Remote working: Enjoy the flexibility of working from home while having the option for in-office interactions. Takealot.com provides a fully remote setup with the choice to visit the office to relish in those water cooler moments when desired.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount: Takealotmore subscriptions and millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
• Right tools, right job: Mac or Linux, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech.
• Help when you need it most: Confidential counselling, legal support, and financial guidance, anytime, anywhere.
• Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Software Engineer (Python) to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you’ve been challenged before? Think again!

• Scale: Over 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best. Code alongside industry leaders and up-skill in record time.
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com, and Mr D. We like to promote from within: Here’s your chance.

Who’s who in the tech space

This position reports to the respective team's manager.

Your mission, should you choose to accept it:

As a Software Engineer, you will be someone whose expertise directly translates into developing robust software in the e-commerce domain. You will have the opportunity to implement best practices to improve existing software and participate in the development of new features. While we don't promote after-hours work as part of the regular workday, we run a 24/7 business with the need to keep systems up and running. Software Engineers are expected to provide after-hours support on a rotational basis to resolve critical system issues if needed.

• Design and build solutions to assist our business users and improve customer experience
• Architect and design solutions with your team
• Develop code, making major improvements to non-functional areas
• Develop high-quality production code for work of high complexity and scale
• Utilize and improve functional and non-functional testing practices
• Champion, challenge, and iterate on best practices within engineering
• Design solutions for complex problems with difficult decision trade-offs, typically system or domain-wide
• Participate in and collaborate on architecture proposals across engineering
• Support alignment of architecture across the organisation
• Respond to and resolve bugs in production for systems in your division
• Respond to alerts and support incident response within your division
• Investigate and drive the resolution of issues that impact multiple teams
• Support, challenge existing, and define new engineering processes and directives
• Review and contribute fixes and content to internal documentation
• React to technology trends, identifying risks and opportunities for your division's technologies, systems, and domains
• Share knowledge through blog posts, tech talks, and workshops across engineering
• Contribute to discussions and decisions in the division
• Challenge others to always produce work of the highest quality
• REST and RPC API implementation and maintenance (using Python)
• Develop and maintain automation tests
• Liaise with various internal stakeholders to discuss project requirements, progress, etc.

The skills we need:

• Solutions-oriented, can-do attitude, and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Ability to dis-aggregate and structure solutions to ambiguous problems
• Solid quantitative skills
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor’s degree or an Advanced Diploma in Computer Science, Engineering, or related field (or equivalent practical experience).
• 5 to 10 years in a software development role
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures, and algorithms
• Experience in writing robust, efficient production code
• Proficient in a strongly typed open source language such as Python, Java, Golang, etc
• Exposure to RESTful APIs and web services.
• Experience with SQL database systems
• Experience with development in a Linux environment

Experience in the following will be advantageous:

• Familiarity with microservices architecture 
• Experience working in an Agile environment 
• MySQL, PostgreSQL, MS SQL
• Memcached, Redis
• Message Brokers, Queues, and PubSub systems (e.g., Kafka and RabbitMQ)
• Containerisation (e.g., Docker)
• Orchestration (e.g., Kubernetes)
• GitHub, Travis CI, Jenkins
• AWS, GCP, Azure
• JavaScript, React, jQuery

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like, high-five, collab, and make something great.
• Remote working: Enjoy the flexibility of working from home while having the option for in-office interactions. Takealot.com provides a fully remote setup with the choice to visit the office to relish in those water cooler moments when desired.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount: Takealotmore subscriptions and millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
• Right tools, right job: Mac or Linux, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech.
• Help when you need it most: Confidential counselling, legal support, and financial guidance, anytime, anywhere.
• Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot Group is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Fraud and Risk to join our Cape Town Data Science team. In this role, you'll be at the forefront of protecting our affiliate marketing ecosystem by researching, developing, and deploying ML models that detect and prevent fraud across attribution, lead quality, and partner compliance. You'll work on high-impact problems spanning traditional fraud patterns and emerging threats—from attribution manipulation to browser extension abuse—while building production systems that scale. This is an opportunity to combine rigorous analytical work with tangible business impact in a fast-moving, adversarial domain.

Core Responsibilities

Research & model development

• Conduct R&D on fraud detection and risk monitoring across the digital advertising ecosystem, including attribution fraud, lead fraud, click injection, browser extension abuse (e.g., Honey-style coupon hijacking), brand safety violations, and creator authenticity verification.
• Design, prototype, and validate ML models and rule-based systems for fraud detection, partner risk scoring, compliance monitoring, and trust & safety workflows.
• Research and apply graph-based fraud detection techniques (community detection, link analysis, behavioral clustering) and explore graph database applications for modeling relationships between users, devices, transactions, and partners to uncover coordinated fraud rings and suspicious network patterns.
• Stay ahead of emerging fraud patterns through continuous learning—monitoring industry trends, reviewing academic literature, exploring data for novel anomalies, and collaborating closely with Product, Compliance, and Trust & Safety teams.

Production deployment & iteration

• Deploy Fraud and Risk ML models to production; own the end-to-end delivery from ETL, feature engineering, model training, deployment, to monitoring.
• Iterate on live models by adding new features, improving performance (precision/recall/F1), and reducing false positives.
• Partner with MLOps and Engineering to ensure models are robust, scalable, and production-ready (testing, alerts, drift monitoring, retraining pipelines).

Data analytics & insights

• Perform deep-dive analyses on fraud trends, partner behavior, and risk patterns to inform model strategy and business decisions.
• Translate analytical findings into actionable recommendations for Product, Marketing, and Finance stakeholders.
• Build dashboards and reports to communicate model performance, fraud impact, and risk metrics to leadership.

Cross-functional collaboration

• Work closely with Product, Engineering, Compliance, and Finance to scope requirements, prioritize work, and align on success metrics.
• Communicate technical work clearly to non-technical audiences; present findings and tradeoffs in planning forums and reviews.
• Contribute to a culture of experimentation, documentation, and knowledge sharing within the Data Science team.

Requirements

Essential

• Experience: 5+ years in data science, ML, or advanced analytics, with at least 2+ years focused on fraud detection, risk modeling, or anomaly detection in production environments.
• Fraud & risk domain expertise: Demonstrated experience building and deploying fraud or risk models (classification, anomaly detection, time-series analysis, graph-based methods).
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, or similar).
• Experience with feature engineering, model evaluation (ROC/AUC, precision-recall, cost-sensitive learning), and handling imbalanced datasets.
• Familiarity with production ML workflows (versioning, monitoring, A/B testing, model retraining).
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, and interpret results with business context.
• Communication: Ability to translate complex technical work into clear insights for stakeholders; experience presenting to cross-functional teams.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience in affiliate marketing, ad tech, or e-commerce fraud (attribution fraud, click fraud, lead validation, coupon abuse).
• Familiarity with browser extension detection, fingerprinting, or device/user identity resolution.
• Experience with graph analytics or network-based fraud detection (community detection, link analysis, behavioral clustering).
• Knowledge of privacy-preserving ML techniques or working with privacy-constrained data.
• Experience with real-time or near-real-time scoring and low-latency deployment (e.g., REST APIs, streaming pipelines).
• Familiarity with GCP tools (BigQuery, Vertex AI, Cloud Run) and/or Databricks/Spark for large-scale data processing.
• Exposure to rule engines, decision trees, or hybrid rule-ML systems for compliance and risk workflows.

What sets you apart

• Adversarial thinking: You understand how fraudsters operate and can anticipate evasion tactics and evolving attack vectors.
• Pragmatic delivery: You balance rigor with speed, prioritizing MVPs and iterative improvement over perfection.
• Business impact orientation: You focus on measurable outcomes (fraud loss reduction, false positive rates, operational efficiency) and communicate ROI clearly.
• Comfort with ambiguity: You thrive in evolving problem spaces, defining your own roadmap when fraud patterns shift or new threats emerge.
• Collaboration and influence: You build trust across teams and can drive adoption of your models through enablement, documentation, and clear storytelling.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

Data Analyst - Cape Town

We’re looking for a Data Analyst to join our team here at ClearScore in Cape Town. You will join the team in delivering insight, analysis and recommendations which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Analysts play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. 

ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact.

ClearScore is both a free credit score and report service and the UK’s leading consumer credit marketplace. In this role, you will play a key role in global analytics and insight generation across key marketing and registration initiatives - owning performance measurement, driving experimentation and strategy to unlock user-scale and revenue growth.

For more information on our tech stack check out our 2026 Tech Radar , how we work is summarised in our Engineering Principles and we have many other Tech Blogs on Medium.

What you will be doing:

• Partner with Marketing, Product and Commercial teams to generate insights that shape our marketing strategy and decision-making.
• Design and analyse experiments to improve user experience, volume and maximise user value generation
• Conduct deep-dive strategic analyses to identify growth opportunities across the marketing funnel.
• Presenting your analysis or recommendations to stakeholders at various levels across the business

Skills we'd love you to have

• You must possess SQL and Excel skills. Knowledge of dbt, python, and analytical tools such as Amplitude is a plus
• Experience using Domo or other data visualisation tools such as Tableau
• Strong critical thinking skills; being able to evaluate challenging and nuanced data to draw conclusions, build opinions and recommendations
• Strong quantitative and numerical skills
• Ability to plan and prioritise your own workload with a global analytics team
• You have a desire to learn and enjoy working collaboratively, with a desire to contribute to our culture.
• You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you as an individual can thrive.

ClearScore is on a mission to make the world of personal finance clearer, calmer, and easier to understand. It starts with the free credit score and report but we're about to do so much more.

We want to take the complex financial decisions that people make in their lives and make them easier. We hold one of the biggest FinTech user bases in the world of over 22 million users but run ourselves like little start-ups. You're encouraged to challenge the status quo and fight for the better.

Since our launch in July 2015 in the UK we have expanded our product into South Africa in 2017, and Australia in 2020 and Canada in 2022. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organization.

We trust you to manage your own time, so we offer flexible work and no fixed desk hours. We don't micromanage and believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

We also have a super-fast and friendly interview process, which is more like having a friendly discussion than being put under a microscope or pressure. We want to know the real you and if you'd be a great fit for us. 

Benefits:

• Holidays – 20 paid holidays (plus public holidays) and a “duvet day” on your birthday
• Pension Fund contribution over and above salary
• Private Medical Insurance
• Eye Tests
• Medial Aid Benefit - over and above salary
• Continued investment into learning and development 
• Flexible work hours and the ability to work from home
• Flexible, generous, and personalised maternity and paternity plans
• Monthly team events and office days out that we get to choose, and company events at the end of each quarter and retro
• Employee Assistance Program
• ClearScore Support Hub
• Perkbox

Equal Opportunities

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

• Levels 1-5: Minimum 2 days per week in-office
• Level 6 and above: Minimum 3 days per week in-office

• Flexibility to manage your work and life
• Dedicated in-office days for team building and collaborative projects
• Office facilities (with plants!) designed for productive interactions
• Clear expectations and support for maintaining our hybrid schedule

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Analyst to join our team in Cape Town with a specific focus on TakealotMORE & Cross Group.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Head: Customer Insights and Engagement

Your mission, should you choose to accept it:

TakealotMORE Analytics

• Own subscription growth forecasting, including detailed component-level predictions (free-to-paid conversions, reactivations, cancellations, tier migrations)
• Create and maintain dashboards and reports tracking subscription KPIs, member behaviour, and service utilisation
• Collaborate with data engineering teams to improve subscription attribution measurement and reporting
• Conduct root-cause analyses of subscription metric variances and performance changes
• Analyse subscription customer lifetime value, retention patterns, and churn drivers
• Develop data-driven recommendations for subscriber growth strategies and retention initiatives
• Build predictive models to identify at-risk subscribers and growth opportunities
• Design and analyse A/B tests to optimise subscription experience and conversion funnels

Cross Group Analytics 

• Own cross-platform growth forecasting, including detailed component-level predictions
• Develop and maintain attribution frameworks for cross-platform customer journeys and acquisition paths
• Create and maintain dashboards and reports tracking cross-platform rates, attribution and customer behaviour across cohorts.
• Investigate cross-platform performance issues and variances through root-cause analysis
• Conduct cohort analyses, tracking customer behaviour and value creation across the ecosystem
• Map customer interactions across Takealot and Mr D to identify cross-selling and migration opportunities
• Create actionable customer segmentation strategies for targeted marketing and product initiatives

TakealotMORE & Cross Group Marketing Performance 

• Measure and optimise marketing campaign performance across the full funnel for TakealotMORE and cross-platform initiatives
• Drive ROAS (Return on Ad Spend) optimisation recommendations for marketing investments
• Establish marketing performance accountability frameworks with measurable growth targets
• Conduct comprehensive new subscriber and customer acquisition analytics, including acquisition cost and performance optimisation
• Track and optimise cross-platform marketing attribution and impact
• Develop marketing attribution frameworks to track customer acquisition and conversion across subscription marketing channels
• Create marketing performance dashboards tracking campaign-driven subscription metrics and acquisition patterns
• Conduct competitive intelligence analysis to inform cross-group marketing strategies and positioning
• Develop and maintain marketing budget allocation frameworks and ROI measurement standards
• Lead marketing performance reviews and accountability reporting across the group

Strategic Analysis & Collaboration

• Collaborate with data engineering and analysts in the business units to ensure data quality, accessibility and correct attribution measurement
• Partner with Marketing, Product, and Technology teams on cross-platform growth and marketing optimisation
• Prioritise and manage analytics/BI requests and backlog; produce executive reports for marketing and growth performance
• Document analytical methods, technical specifications and processes; drive process improvement and knowledge management
• Lead analytical strategy and methodology development across TakealotMORE and Cross Group initiatives
• Present findings and recommendations to senior stakeholders, including marketing leadership and C-suite

Qualifications and Experience:

• Relevant postgraduate qualification in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5-7 years of analytical experience in commercial analytics, management consulting, market research, or similar roles
• Experience with growth target setting and performance accountability reporting
• Experience handling large datasets and building business models
• Experience with subscriptions and/or cross-platform businesses
• Experience developing marketing performance frameworks and accountability systems
• Retail/e-commerce or data science exposure is beneficial
• Experience in cross-functional collaboration with marketing, product, and technology teams
• Marketing analytics experience, including campaign performance, attribution modelling, and ROAS optimisation

Skills, Knowledge and Abilities Required:

Core Technical Skills

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Google Analytics expertise and certification advantageous
• Advanced statistical methods, hypothesis testing, experimental design, and research methodology
• Machine learning techniques, forecasting model development, and advanced modelling techniques

Marketing & Analytics Expertise

• Marketing attribution modelling and cross-channel attribution
• Customer journey analytics, LTV modelling, cohort analysis, segmentation
•  A/B testing design and analysis for both product and marketing initiatives
• ROAS analysis and marketing performance measurement
• Marketing automation platforms and MarTech stack management
• Brand tracking and market research methodologies
• Marketing performance framework development and accountability system design
• Budget optimisation and allocation modelling
• Customer acquisition cost modelling and optimisation

Business & Presentation

• Advanced presentation skills with Google Workspace (Sheets, Slides)
• Executive dashboard development and visual storytelling
• Strong data extraction/manipulation and technical documentation
• Marketing technology integration and process optimisation
• Ability to manage multiple analytical projects and stakeholder requests simultaneously
• Deep understanding of digital commerce KPIs, conversion funnels, and customer acquisition

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of e-commerce, subscription, and marketplace business models 
• Marketing performance accountability expertise with framework development capabilities
• Exceptional storytelling and presentation skills with the ability to influence stakeholders 
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Ability to connect analytical insights to business strategy and drive data-driven decision making
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Can-do attitude with high energy, bias toward action, and passion for brand and customers

The Environment: 

• takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa. 
• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve. 
• We are short on ego and high on output. 
• We are doers and not only thinkers, it's all in the execution after all. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Analyst to join our team in Cape Town with a specific focus on TakealotMORE & Cross Group.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Head: Customer Insights and Engagement

Your mission, should you choose to accept it:

TakealotMORE Analytics

• Own subscription growth forecasting, including detailed component-level predictions (free-to-paid conversions, reactivations, cancellations, tier migrations)
• Create and maintain dashboards and reports tracking subscription KPIs, member behaviour, and service utilisation
• Collaborate with data engineering teams to improve subscription attribution measurement and reporting
• Conduct root-cause analyses of subscription metric variances and performance changes
• Analyse subscription customer lifetime value, retention patterns, and churn drivers
• Develop data-driven recommendations for subscriber growth strategies and retention initiatives
• Build predictive models to identify at-risk subscribers and growth opportunities
• Design and analyse A/B tests to optimise subscription experience and conversion funnels

Cross Group Analytics 

• Own cross-platform growth forecasting, including detailed component-level predictions
• Develop and maintain attribution frameworks for cross-platform customer journeys and acquisition paths
• Create and maintain dashboards and reports tracking cross-platform rates, attribution and customer behaviour across cohorts.
• Investigate cross-platform performance issues and variances through root-cause analysis
• Conduct cohort analyses, tracking customer behaviour and value creation across the ecosystem
• Map customer interactions across Takealot and Mr D to identify cross-selling and migration opportunities
• Create actionable customer segmentation strategies for targeted marketing and product initiatives

TakealotMORE & Cross Group Marketing Performance 

• Measure and optimise marketing campaign performance across the full funnel for TakealotMORE and cross-platform initiatives
• Drive ROAS (Return on Ad Spend) optimisation recommendations for marketing investments
• Establish marketing performance accountability frameworks with measurable growth targets
• Conduct comprehensive new subscriber and customer acquisition analytics, including acquisition cost and performance optimisation
• Track and optimise cross-platform marketing attribution and impact
• Develop marketing attribution frameworks to track customer acquisition and conversion across subscription marketing channels
• Create marketing performance dashboards tracking campaign-driven subscription metrics and acquisition patterns
• Conduct competitive intelligence analysis to inform cross-group marketing strategies and positioning
• Develop and maintain marketing budget allocation frameworks and ROI measurement standards
• Lead marketing performance reviews and accountability reporting across the group

Strategic Analysis & Collaboration

• Collaborate with data engineering and analysts in the business units to ensure data quality, accessibility and correct attribution measurement
• Partner with Marketing, Product, and Technology teams on cross-platform growth and marketing optimisation
• Prioritise and manage analytics/BI requests and backlog; produce executive reports for marketing and growth performance
• Document analytical methods, technical specifications and processes; drive process improvement and knowledge management
• Lead analytical strategy and methodology development across TakealotMORE and Cross Group initiatives
• Present findings and recommendations to senior stakeholders, including marketing leadership and C-suite

Qualifications and Experience:

• Relevant postgraduate qualification in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• 5-7 years of analytical experience in commercial analytics, management consulting, market research, or similar roles
• Experience with growth target setting and performance accountability reporting
• Experience handling large datasets and building business models
• Experience with subscriptions and/or cross-platform businesses
• Experience developing marketing performance frameworks and accountability systems
• Retail/e-commerce or data science exposure is beneficial
• Experience in cross-functional collaboration with marketing, product, and technology teams
• Marketing analytics experience, including campaign performance, attribution modelling, and ROAS optimisation

Skills, Knowledge and Abilities Required:

Core Technical Skills

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Google Analytics expertise and certification advantageous
• Advanced statistical methods, hypothesis testing, experimental design, and research methodology
• Machine learning techniques, forecasting model development, and advanced modelling techniques

Marketing & Analytics Expertise

• Marketing attribution modelling and cross-channel attribution
• Customer journey analytics, LTV modelling, cohort analysis, segmentation
•  A/B testing design and analysis for both product and marketing initiatives
• ROAS analysis and marketing performance measurement
• Marketing automation platforms and MarTech stack management
• Brand tracking and market research methodologies
• Marketing performance framework development and accountability system design
• Budget optimisation and allocation modelling
• Customer acquisition cost modelling and optimisation

Business & Presentation

• Advanced presentation skills with Google Workspace (Sheets, Slides)
• Executive dashboard development and visual storytelling
• Strong data extraction/manipulation and technical documentation
• Marketing technology integration and process optimisation
• Ability to manage multiple analytical projects and stakeholder requests simultaneously
• Deep understanding of digital commerce KPIs, conversion funnels, and customer acquisition

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of e-commerce, subscription, and marketplace business models 
• Marketing performance accountability expertise with framework development capabilities
• Exceptional storytelling and presentation skills with the ability to influence stakeholders 
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Ability to connect analytical insights to business strategy and drive data-driven decision making
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Can-do attitude with high energy, bias toward action, and passion for brand and customers

The Environment: 

• takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa. 
• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve. 
• We are short on ego and high on output. 
• We are doers and not only thinkers, it's all in the execution after all. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

Who we are

S-RM is a global intelligence and cyber security consultancy. Since 2005, we’ve helped some of the most demanding clients in the world solve some of their toughest information security challenges.

We’ve been able to do this because of our outstanding people. We’re committed to developing sharp, curious, driven individuals who want to think critically, solve complex problems, and achieve success.

But we also know that work isn’t everything. It’s about the lives and careers it helps us build. We’re immensely proud of this culture and we invest in our people’s wellbeing, learning, and ideas every day.

We’re excited you’re thinking about joining us

Working in Cyber at S-RM

Our Cyber Security division is the fastest-growing part of S-RM. The cyber sector is always evolving, and our Incident Response and Managed Services practices are in more demand than ever.

We’re building a team to meet this challenge.  We’re quick to respond, innovate, and improve.  We don’t get too hung up on hierarchy or bureaucracy.  If your ideas are good enough, we’ll empower you to implement them.  If you’re the best person to talk to a customer, you’ll get that opportunity, regardless of the title in your email signature. And when you need a hand, your team will always have your back.

We also don’t believe there’s a typical cyber security professional.  We’ve built a team of intelligence analysts, technical specialists, software developers, investigators, risk managers, and more.  You’ll always find a range of perspectives and expertise to help you learn and grow.

If that sounds like your kind of team, we’d like to hear from you.

The role

Cyber Threat Intelligence (CTI) is an integral part of our Incident Response (IR) and Managed Services practices. As a CTI analyst you will be a critical part of our wider cyber team’s success.

You will work across the full intelligence cycle to help our clients respond and recover to security incidents, and stay ahead of evolving threats, including:

• Threat Actor Intelligence: You will track developments in the ransomware and cybercrime ecosystem, and write and update profiles on key threat actors of interest which will be shared with clients to inform case strategy and externally as thought leadership
• Threat Actor Engagement: You will monitor leak sites and negotiation portals across our global IR cases, and inform case leads of regular developments. You will assist with researching and drafting attestations on sanctions exposure for given threat actors
• Dark Web Monitoring: You will use threat intelligence platforms and specialist tools to conduct targeted research the dark web and set up and deliver regular monitoring engagements. You will assist with renewals of these cases
• Technical IOC Management: You will help collate technical indicators of compromise (IOCs) from across our global IR team, ensure these are enriched and correctly classified, and facilitate dissemination across the organisation to improve the operational effectiveness of our IR and Managed Services teams
• Incident Data Collection and Analysis: You will help ensure that incident data collected by our global IR team from our engagements is accurate and consistent. You will assist with the management of this dataset, and with analysis to produce regular reporting on trends and insights to use for presentations, events and training sessions
• CTI-lead analysis: You will assist with in-depth investigations which have a strong threat intelligence component, including conducting research and drafting client-facing reports
• Blockchain analysis: You will use specialist tools to trace ransom payments to identify sanctions exposure or other compliance risks, and draft reports to present findings to clients
• Thought leadership: You will contribute to public write ups and presentations on new vulnerabilities, trends, and threat actor techniques
• Help develop and share domain expertise: We will support you in growing your cyber expertise, including sharing it with the wider team through internal initiatives and programs.
• Help contribute to business development: You will help cultivate and manage close relationships with external partners who we share intelligence with and help identify business development opportunities.

Other features of the role include:

• Variety of casework: no day will be the same. Our team responds to a huge variety of incidents for both public and corporate clients.
• Range of opportunities: you will have opportunities to broaden your security awareness into testing and advisory projects, in addition to deepening your cyber threat intelligence and incident response expertise.
• Flexible working practices: responding to incidents can be intense, high-pressure work. We are mindful of our team’s work/life balance and offer flexible working options to support your wellbeing.

What we're looking for

Candidates with the following qualifications and experience are likely to succeed as Cyber Threat Intelligence Analysts at S-RM. 

That said, if you don’t think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box—we’re looking for candidates that are particularly strong in a few areas and have some interest and capabilities in others.

We nurture a culture of equality, diversity and inclusion and we are dedicated to developing a workforce that displays a variety of talents, experiences and perspectives.

Required Skills:

• Excellent written and verbal communication skills, with the ability to produce clear and  concise reports.
• Strong analytical and problem-solving skills, including the ability to work with incomplete, ambiguous, or conflicting information.

• Understanding of foundational cyber concepts, such as common attack vectors (e.g., phishing, credential misuse), high-level security terminology, and general threat actor motivations.
• Understanding of core intelligence concepts, including the intelligence lifecycle, requirements gathering, and the distinction between tactical, operational, and strategic intelligence outputs.

• A demonstrated interest in cyber threats, including financially-motivated activity such as ransomware and extortion.

Preferred Skills:

• Academic or professional background in a research-focused discipline (qualitative or quantitative), such as Political Science, Intelligence Studies, Criminology, Cybersecurity, Computer Science, Data Science, or related fields.
• Familiarity with cybersecurity fundamentals, such as threat actor TTPs, IOCs, and relevant frameworks (e.g., MITRE ATT&CK).
• Ability to contextualize findings into business-relevant assessments, including potential impact, likelihood and recommended mitigations.
• Experience using OSINT and/or Threat Intelligence platforms (e.g. VirusTotal, Shodan, MISP, Recorded Future).

Successful candidates are likely to show the following personal attributes: 

• An investigative mindset and an enthusiasm for investigations.
• Exceptional attention to detail, especially when examining indicators, infrastructure data, and adversary behaviours.
• A collaborative mindset and willingness to collaborate across teams.
• Ability to thrive under pressure, prioritize multiple tasks, and meet short deadlines.
• A self-starter, demonstrating initiative, ownership of work and the ability to identify opportunities to enhance S-RM's cyber capabilities.

Relevant industry certifications are not required for this role. However, holding relevant CTI or cyber security related certifications such as the following is beneficial: GCTI, GCFA, SSCP, or Security+

Our benefits

We offer thoughtful, balanced rewards and support to help our people do their best work and live their lives outside of work. This includes but is not exhaustive of:

• Holiday – 23 days per year increasing to 28 days (+1 day for every year you worked at S-RM, up to a maximum of 5 days) in addition to bank holidays
• Gap Cover policy – allowing you to bridge the gap between your medical bills and your medical aid cover.
• Hybrid working and flexible working hours;
• Private pension – up to 7% contribution matched by the company
• Life Insurance 4X annual salary.

Parental Support:

• Fertility treatment leave – 5 days of leave per cycle of treatment per year;
• Maternity leave – 26 weeks of full pay followed by 13 weeks of half pay;
• Paternity leave – 6 weeks of full pay.
• Various Health and Medical Benefits including:
• Medical aid with Discovery Health for employee, partner, and children up to the cost of the Classic Saver plan(taxable benefit) for you and your family;
• EAP programme for you and your immediate family;
• Free access to the world-famous mindfulness app Headspace.

The application process

We want to get to know you, and for you to get to know us, to see if we’d be a good fit. We are responsive and respectful of people’s time throughout our hiring process.

A typical application process includes:

• Initial screening of your application by our recruiting team.
• An interview to assess your baseline technical skills.
• An interview to discuss your previous experience, broader competencies, and suitability for the role.

About us:

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. 

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

The role in a nutshell:

You will form part of the Onboarding Operations team based in Cape Town and Kuala Lumpur, reporting to the Head of Onboarding Strategy and Customer Due Diligence Operations. Your role as a Business Optimisation Analyst (Data) will be to use your knowledge of data analysis and data processing to inform key business decisions in the Onboarding Operations team and other business areas. You will work in a fast paced environment, collaborating with other business units, including Engineering, Product, Compliance and Data teams, servicing the business on an international level together with the teams from South East Asia, Africa and Europe. You will be responsible for creating dashboards, extracting data, writing reports, and monitoring key performance indicators (KPIs) to determine business initiatives’ success.

Your mission will be:

• Interpret trends and patterns in data and present findings and actionable insights to senior leaders of the business
• Collaborate with data engineers to design and build any pipelines/data models needed to support analytical and reporting needs
• Structure large data sets to find usable information
• Design metrics to help assess how the onboarding teams and broader business are performing on a day-to-day basis
• Report regularly on business and team performance
• Work closely with the relevant business stakeholders to understand their data needs
• Collaborate with teams to determine, collect and analyse required data to address business needs while ensuring it is of the highest quality, reliable and trusted
• Build visually compelling dashboards that communicate insights to stakeholders (often non-technical) to allow data-informed decision making
• Use data-driven analysis to identify opportunities for improvement and automation in onboarding operations processes
• Review delivery of providers against Service Level Agreements and support negotiations from a data perspective

The ideal candidate will have:

• A qualification in Data Analysis or similar quantitative fields.
• A minimum of 1 year of experience in the data or business optimisation space
• Intermediate skills in SQL, Python and experience working with data pipelines.
• Experience working with business intelligence platforms such as Looker, Tableau, DataBricks, PowerBI or similar
• Familiar with data governance principles and best practices
• Passionate about data analytics and related disciplines
• Friendly, transparent, articulate and driven to succeed.
• Experience in a customer service / customer onboarding / KYC environment is advantageous
• Ability to lead change through entrepreneurial thinking, a strong sense of responsibility and a very high level of integrity
• Adaptable, capable and intellectually curious and have the persistence to find answers to difficult questions in fast-paced and environments
• Ability to formulate business cases, document investigation work, and contribute to technical design documents
• Ability to take ownership of own work and successfully deliver high quality projects with obscure and incomplete requirements
• Strong interpersonal and communication skills and ability to explain data concepts to non-experts in a clear, and structured manner
• Experience working with cross-functional teams using data to influence strategy, roadmaps and drive data-informed decisions
• Internet access at home and the ability to work remotely (Luno will provide successful candidates with suitable equipment to set them up for success)

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Plus the option to buy and sell up to 5 days leave
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
• Free lunch and snacks
• 0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

takealot.com, a leading South African online retailer, is looking for a highly talented Software Engineering Manager to join our team in South Africa. 

Think you’ve been challenged before? Think again!

• Scale: 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time. 
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com and Mr D. We like to promote from within: Here’s your chance. 

Who’s who in the tech space

The position reports to the Engineering Director: Logistics.

Your mission, should you choose to accept it:

• Build and retain a high-caliber engineering team
• Build relationships through regular one-on-one conversations
• Remove roadblocks and interruptions to help the team perform
• Be involved with architectural and strategic planning with peers and senior developers
• Work with stakeholders to gather requirements, and manage expectations
• Support and develop the careers of members of the team
• Support and give direction to innovation in the team
• Present practical input for strategic technology decisions
• Stay up to date with industry trends, and standards
• Lead the Agile processes within the team
• Manage the roadmap for the team, playing a key role in prioritization
• Successfully see new projects to completion and launch new products while maintaining the existing code base.
• Facilitate discussions in the team and ensure a good design methodology is used on projects.
• Resolve conflict in the team when necessary
• Promote the achievements of the team
• Track and ensure team productivity is healthy using a metrics-based approach
• Track and ensure operational excellence in the team using a metrics-based approach
• Interview candidates for technical and organizational fit
• Drive innovation, vision, and strategy

The skills we need:

• A solutions-oriented, can-do attitude and high-energy
• Strong analytical and critical thinking, using data to inform decisions
• Solid quantitative skills
• Ability to interview and interact professionally with internal and external people
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor's Degree or Advanced Diploma in Computer Science, Engineering, or any related area of study. In the event that you do not have a Bachelor’s Degree or an Advanced Diploma, equivalent experience in the related area is sufficient. 
• Demonstrable experience leading and managing a team of engineers on complex software projects.
• Experience developing software in an agile, quality-focussed environment.
• Experience with a broad range of related disciplines such as Development, Cloud Infrastructure, Site Reliability, Provisioning, Configuration Management, and Managed Systems.
• Good SQL experience in a high-load environment.
• Significant technical experience and a proven track record of architectural ownership and understanding.
• Experience with Open Source Operating Systems and technologies.
• Experience with Web Architectures (e.g. SOA, REST).
• Excellent understanding of theoretical Software Engineering fundamentals, including but not limited to distributed systems, highly scalable systems, algorithms, data structures, design patterns, and programming paradigms is advantageous.
• Experience with e-commerce-based applications is advantageous.
• Experience working with GCP/AWS and/or other cloud platforms.

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab and make something great.
• Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best, by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount. Millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. 
• Right tools, right job: We work on Mac, but whether you prefer two monitors or one. You’ll work on the latest tech, with the latest tech.
• Help when you need it most: Confidential counseling, legal support, and financial guidance, for free, anytime, anywhere. 
• Tech stack (for days): Angular, Scala, Kotlin, Google Cloud, Kafka, Redis, Kubernetes and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to). 

Like what you see? 

If you meet the above you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given a preference

takealot.com, a leading South African online retailer, is looking for a highly talented Software Engineering Manager to join our team in South Africa. 

Think you’ve been challenged before? Think again!

• Scale: 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best, and then some. Code alongside industry leaders and upskill in record time. 
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com and Mr D. We like to promote from within: Here’s your chance. 

Who’s who in the tech space

The position reports to the Engineering Director (Logistics).

Your mission, should you choose to accept it:

• Build and retain a high-caliber engineering team
• Build relationships through regular one-on-one conversations
• Remove roadblocks and interruptions to help the team perform
• Be involved with architectural and strategic planning with peers and senior developers
• Work with stakeholders to gather requirements, and manage expectations
• Support and develop the careers of members of the team
• Support and give direction to innovation in the team
• Present practical input for strategic technology decisions
• Stay up to date with industry trends, and standards
• Lead the Agile processes within the team
• Manage the roadmap for the team, playing a key role in prioritization
• Successfully see new projects to completion and launch new products while maintaining the existing code base.
• Facilitate discussions in the team and ensure a good design methodology is used on projects.
• Resolve conflict in the team when necessary
• Promote the achievements of the team
• Track and ensure team productivity is healthy using a metrics-based approach
• Track and ensure operational excellence in the team using a metrics-based approach
• Interview candidates for technical and organizational fit
• Drive innovation, vision, and strategy

The skills we need:

• A solutions-oriented, can-do attitude and high-energy
• Strong analytical and critical thinking, using data to inform decisions
• Solid quantitative skills
• Ability to interview and interact professionally with internal and external people
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor's Degree or Advanced Diploma in Computer Science, Engineering, or any related area of study. In the event that you do not have a Bachelor’s Degree or an Advanced Diploma, equivalent experience in the related area is sufficient. 
• Demonstrable experience leading and managing a team of engineers on complex software projects.
• Experience developing software in an agile, quality-focussed environment.
• Experience with a broad range of related disciplines such as Development, Cloud Infrastructure, Site Reliability, Provisioning, Configuration Management, and Managed Systems.
• Good SQL experience in a high-load environment.
• Significant technical experience and a proven track record of architectural ownership and understanding.
• Experience with Open Source Operating Systems and technologies.
• Experience with Web Architectures (e.g. SOA, REST).
• Excellent understanding of theoretical Software Engineering fundamentals, including but not limited to distributed systems, highly scalable systems, algorithms, data structures, design patterns, and programming paradigms is advantageous.
• Experience with e-commerce-based applications is advantageous.
• Experience working with GCP/AWS and/or other cloud platforms.

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab and make something great.
• Remote working: Love water cooler chats and working from home? Takealot.com offers a hybrid working model for the best of both worlds.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best, by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount. Millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. 
• Right tools, right job: We work on Mac, but whether you prefer two monitors or one. You’ll work on the latest tech, with the latest tech.
• Help when you need it most: Confidential counseling, legal support, and financial guidance, for free, anytime, anywhere. 
• Tech stack (for days): Angular, Scala, Kotlin, Google Cloud, Kafka, Redis, Kubernetes and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to). 

Like what you see? 

If you meet the above you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given a preference

Data Analyst - Cape Town

We’re looking for a Data Analyst to join our team here at ClearScore in Cape Town. You will join the team in delivering insight and analysis which allow ClearScore to rapidly scale and deliver a seamless experience for our users. Analysts play a key role within ClearScore, driving strategy and key decision-making, which ultimately benefits our users, partners, and other teams within the business. 

ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively to ensure a landscape in which team members can develop their full potential and deliver maximum business impact.

ClearScore is both a free credit score and report service and the UK’s leading consumer credit marketplace. In this role, you will play a key role in analytics and insight generation across key marketplace initiatives -owning performance measurement, driving experimentation and influencing product, and commercial strategy to unlock conversion and revenue growth.

For more information on our tech stack check out our 2026 Tech Radar , how we work is summarised in our Engineering Principles and we have many other Tech Blogs on Medium.

What you will be doing:

•  
• Build and own marketplace performance reporting across conversion, eligibility and revenue
• Partner with Product and Commercial teams to generate insights that shape marketplace strategy and decision-making.
• Design and analyse experiments to improve ranking, user journeys and overall conversion.
• Conduct deep-dive analyses to identify growth opportunities across the marketplace funnel.

Skills we'd love you to have

• You must possess SQL and Excel skills. Knowledge of dbt, python, and analytical tools such as Amplitude is a plus
• Experience using Domo or other data visualisation tools such as Tableau
• Strong quantitative and numerical skills
• Ability to plan and prioritise your own workload and that of your team
• You have a desire to learn and enjoy working collaboratively, with a desire to contribute to our culture.
• You do not need to fit into a stereotype: we are really committed to closing our gender gap and are actively trying to create an environment where you as an individual can thrive.

Why ClearScore?

ClearScore is on a mission to make the world of personal finance clearer, calmer, and easier to understand. It starts with the free credit score and report but we're about to do so much more.

We want to take the complex financial decisions that people make in their lives and make them easier. We hold one of the biggest FinTech user bases in the world of over 22 million users but run ourselves like little start-ups. You're encouraged to challenge the status quo and fight for the better.

Since our launch in July 2015 in the UK we have expanded our product into South Africa in 2017, and Australia in 2020 and Canada in 2022. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organization.

We trust you to manage your own time, so we offer flexible work and no fixed desk hours. We don't micromanage and believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

We also have a super-fast and friendly interview process, which is more like having a friendly discussion than being put under a microscope or pressure. We want to know the real you and if you'd be a great fit for us. 

Benefits:

• Holidays – 20 paid holidays (plus public holidays) and a “duvet day” on your birthday
• Pension Fund contribution over and above salary
• Private Medical Insurance
• Eye Tests
• Medial Aid Benefit - over and above salary
• Continued investment into learning and development 
• Flexible work hours and the ability to work from home
• Flexible, generous, and personalised maternity and paternity plans
• Monthly team events and office days out that we get to choose, and company events at the end of each quarter and retro
• Employee Assistance Program
• ClearScore Support Hub
• Perkbox

Equal Opportunities

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

• Levels 1-5: Minimum 2 days per week in-office
• Level 6 and above: Minimum 3 days per week in-office

• Flexibility to manage your work and life
• Dedicated in-office days for team building and collaborative projects
•  Office facilities (with plants!) designed for productive interactions
• Clear expectations and support for maintaining our hybrid schedule

At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

The Data Scientist III will technically lead analytical research, machine learning and other data science initiatives across all lines of business, including degree, executive education, and open course programs. The Data Scientist III would be expected to engage with stakeholders, lead technical solution design and delivery. This is a highly quantitative role that requires analytical aptitude, strong programming skills, and intellectual curiosity. We are looking for someone who is excited about solving business problems, eager to learn and apply experimental and machine learning techniques, and motivated to develop their skills in a collaborative team environment.

Responsibilities Include, But Are Not Limited To:

• Lead statistical analysis, reporting and visualization to support business decision-making across degree, executive education, and open course lines of business. 
• Lead the end to end technical delivery of Data Science projects/models  over use cases that span all lines of business and functional areas, identifying high value opportunities and implementing the solution. 
• Lead design and implementation of A/B tests on Data Science projects/models implemented to determine and size success of solutions. 
• Collaborate with engineers and ML engineers to support productionization efforts, including code development, testing, and integration into the 2U software ecosystem.
• Partner with stakeholders and product to gain domain knowledge, understand requirements, and contribute to planning development tasks and projects.

Things That Should Be In Your Background:

• Bachelor's degree in data science, statistics, mathematics, computer science, economics or other quantitative field required
• 5-10 years of experience in data science or related role
• Proven track record of delivering production-grade machine learning models and data science products that drove significant business impact
• Demonstrated experience designing and analyzing online controlled experiments (A/B testing)
• Proven experience applying analytical techniques such as classification, regression, cluster analysis, pattern recognition, and predictive modeling 
• Strong proficiency in Python and other object-oriented programming languages (R, Java, Scala, or similar)
• Advanced SQL skills and experience querying relational and/or NoSQL databases
• Solid understanding of applied statistics
• Experience with data visualization and business intelligence tools (e.g., Tableau, Looker, PowerBI, Domo, or similar platforms) 
• Familiarity with data engineering concepts and ETL processes 
• Excellent communication skills and ability to work collaboratively in a team environment while receiving moderate guidance and direction 

Other Attributes That Will Help You In This Role:

• Graduate degree or additional coursework in quantitative fields is a plus

Benefits & Culture

Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide over 40 million learners and counting with access to world-class online higher education, then join us – and do work that makes a difference. #NoBackRow

We offer comprehensive benefits (unique per country) and excellent work/life balance.
Full-time, ZA benefits include: 

• 2 complimentary Getsmarter short courses per year
• Subsidised medical aid with Discovery Health Medical Scheme
• 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit
• Employee Assistance Program (EAP)
• Generous leave policy including time off to volunteer for non-profit organization, study leave, sports leave and a company-wide festive season break

2U Diversity and Inclusion Statement

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: recruitingaccommodations@2u.com. 

About 2U

For more than a decade, 2U has been the digital transformation partner of choice to great non-profit colleges and universities delivering high-quality online education at scale. As the parent company of edX, a leading global online learning platform, 2U provides over 45 million learners with access to world-class education in partnership with more than 230 colleges, universities, and corporations. Our people and technology are powering more than 4,000 digital education offerings — from free courses to full degrees — and helping unlock human potential. To learn more: visit 2U.com.

About edX

edX is the education movement for restless learners and a leading global online learning platform from 2U. Together with the majority of the world’s top-ranked universities and industry-leading companies, we bring our community of over 45 million learners world-class education to support them at every stage of their lives and careers, from free courses to full degrees. And we're not stopping there — we're relentlessly pursuing our vision of a world where every learner can access education to unlock their potential, without the barriers of cost or location. Learn more at edX.org.

Learn more at https://2u.com/careers/
#NoBackRow

The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.

2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay. 

2U is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. 2U requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

About us:

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. 

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

The role in a nutshell:

You will form part of the Onboarding Operations team based in Cape Town and Kuala Lumpur, reporting to the Head of Onboarding Strategy and Customer Due Diligence Operations. Your role as a Business Optimisation Analyst (Data) will be to use your knowledge of data analysis and data processing to inform key business decisions in the Onboarding Operations team and other business areas. You will work in a fast paced environment, collaborating with other business units, including Engineering, Product, Compliance and Data teams, servicing the business on an international level together with the teams from South East Asia, Africa and Europe. You will be responsible for creating dashboards, extracting data, writing reports, and monitoring key performance indicators (KPIs) to determine business initiatives’ success.

Your mission will be:

• Interpret trends and patterns in data and present findings and actionable insights to senior leaders of the business
• Collaborate with data engineers to design and build any pipelines/data models needed to support analytical and reporting needs
• Structure large data sets to find usable information
• Design metrics to help assess how the onboarding teams and broader business are performing on a day-to-day basis
• Report regularly on business and team performance
• Work closely with the relevant business stakeholders to understand their data needs
• Collaborate with teams to determine, collect and analyse required data to address business needs while ensuring it is of the highest quality, reliable and trusted
• Build visually compelling dashboards that communicate insights to stakeholders (often non-technical) to allow data-informed decision making
• Use data-driven analysis to identify opportunities for improvement and automation in onboarding operations processes
• Review delivery of providers against Service Level Agreements and support negotiations from a data perspective

The ideal candidate will have:

• A qualification in Data Analysis or similar quantitative fields.
• A minimum of 1 year of experience in the data or business optimisation space
• Intermediate skills in SQL, Python and experience working with data pipelines.
• Experience working with business intelligence platforms such as Looker, Tableau, DataBricks, PowerBI or similar
• Familiar with data governance principles and best practices
• Passionate about data analytics and related disciplines
• Friendly, transparent, articulate and driven to succeed.
• Experience in a customer service / customer onboarding / KYC environment is advantageous
• Ability to lead change through entrepreneurial thinking, a strong sense of responsibility and a very high level of integrity
• Adaptable, capable and intellectually curious and have the persistence to find answers to difficult questions in fast-paced and environments
• Ability to formulate business cases, document investigation work, and contribute to technical design documents
• Ability to take ownership of own work and successfully deliver high quality projects with obscure and incomplete requirements
• Strong interpersonal and communication skills and ability to explain data concepts to non-experts in a clear, and structured manner
• Experience working with cross-functional teams using data to influence strategy, roadmaps and drive data-informed decisions
• Internet access at home and the ability to work remotely (Luno will provide successful candidates with suitable equipment to set them up for success)

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Plus the option to buy and sell up to 5 days leave
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
• Free lunch and snacks
• 0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Data Analyst to join our team in Cape Town with a specific focus on Customer Experience.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Head: Customer Insights and Engagement

Your mission, should you choose to accept it:

Budget modelling & financial planning

• Develop and maintain comprehensive budget models for Takealot Group Contact Centre operations across all brands
• Create annual, quarterly, and monthly financial forecasts for contact centre costs and resource requirements
• Build cost allocation models distributing shared services across Takealot.com, Sellers, Mr D, TFS etc.
• Analyse cost per contact metrics and efficiency benchmarks across brands and channels
• Support budget planning cycles with detailed financial analysis and scenario modelling
• Track budget variance analysis and provide recommendations for cost optimisation

Cross-Brand Analytics & Optimisation

• Analyse Cross-brand contact centre data, including contact volume patterns, trends, and drivers across all Group brands and channels
• Build predictive models for contact volumes incorporating seasonality, promotions, and business events
• Develop cross-brand benchmarking frameworks for performance, efficiency, and customer satisfaction
• Create unified reporting dashboards showing Group-wide contact centre performance and trends
• Analyse customer journey impacts on contact generation across different brand touchpoints
• Identify opportunities for economies of scale and shared service optimisation

Strategic forecasting & planning

• Produce long-term strategic forecasts for contact centre growth and evolution (1-3 year horizon)
• Model the impact of business initiatives, new product launches, and market expansion on contact volumes
• Analyse seasonal patterns and special events' impact across all brands for strategic planning
• Support strategic decisions on contact centre footprint, technology investments, and capability development
• Create scenario planning models for business growth, market changes, and operational scaling
• Develop capacity planning models linking customer growth projections to resource requirements

Performance Analytics & Insights 

• Develop Group-wide KPI frameworks and performance measurement systems
• Analyse agent productivity, efficiency metrics, and performance trends across brands
• Build customer satisfaction analytics linking CSAT/NPS to operational performance across channels
• Create executive dashboards and reports for senior leadership and brand management
• Conduct deep-dive analyses on operational challenges and improvement opportunities
• Monitor industry benchmarks and best practices for contact centre operations
• Build customer segmentations, enabling agents to make more informed decisions 

Data governance & collaboration

• Establish data standards and definitions for cross-brand contact centre analytics
• Collaborate with Senior Capacity Planner to ensure operational and strategic analytics alignment
• Partner with Finance teams on budget planning, cost allocation, and financial reporting
• Work with business unit teams to understand unique business drivers and operational requirements
• Ensure data quality and consistency across all brand contact centre systems
• Document analytical methodologies and maintain knowledge management systems
• Lead change management initiatives for cross-brand process standardisation

Qualifications and Experience:

• Postgraduate degree (Honours, Masters, or higher) in Statistics, Mathematics, Computer Science, Economics, Business Analytics or related quantitative field with a strong analytical and research methodologies foundation
• Professional certification in financial planning, business analysis, or data analytics
• Contact centre management or customer experience certification (advantageous)
• 5-7 years of experience in commercial analytics, customer experience analysis, or contact centre analytics with demonstrable impact on business outcomes
• Proven experience working with large, complex customer datasets and building predictive business models
• Background in customer service analytics, ticket analysis, contact centre performance measurement, or contact reduction initiatives
• Experience working with contact centre operations and understanding customer experience metrics
• Experience in multi-brand or complex organisational environments 
• E-commerce, retail, or digital marketplace customer service environment experience strongly preferred
• Proven track record in budget variance analysis and cost optimisation delivery
• Experience with growth target setting and performance accountability reporting
• Experience collaborating cross-functionally across teams, including customer service, finance, marketing and operations
• Experience leading analytical projects and influencing senior stakeholders
• Change management experience in implementing standardisation across multiple business units

Skills, Knowledge and Abilities Required:

Financial & analytical skills:

• Advanced financial modelling and budget planning expertise
• Cost accounting and allocation methodology experience
• Forecasting and predictive modelling capabilities (time series, regression, scenario analysis)
• Advanced Excel/Google Sheets with complex financial models and macros
• Advanced statistical forecasting techniques and hypothesis testing

Data & BI skills:

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Data visualisation and executive dashboard development
• Experience with large datasets and data warehouse environments

Business skills:

• Strategic planning and scenario modelling with long-term business impact assessment
• Cross-brand and multi-business analysis with standardisation and optimisation focus
• Executive presentation and communication skills with senior leadership influence capability
• Process improvement and optimisation methodologies
• Project management and stakeholder coordination across complex organisational structures
• Change management and process standardisation experience in multi-brand environments
• Industry knowledge of e-commerce customer service trends and best practices

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of contact centre data, business models, and operational metrics
• Strategic thinking capabilities linking analytical insights to business strategy and competitive advantage
• Ability to synthesise complex, multi-source data into actionable business recommendations
• Change management skills for implementing cross-brand standardisation and process improvements
• Understanding of customer journey analytics, omnichannel experience, and e-commerce customer behaviour
• Exceptional storytelling and presentation skills with the ability to influence senior stakeholders and drive decision-making
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Executive presence and ability to communicate complex analytical concepts to non-technical audiences
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Ability to manage multiple competing priorities while maintaining quality and accuracy standards
• Can-do attitude with high energy, bias toward action, and passion for brand excellence and customer satisfaction

The Environment: 

• takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa. 
• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve. 
• We are short on ego and high on output. 
• We are doers and not only thinkers, it's all in the execution after all. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

takealot.com, a leading South African online retailer, is looking for a highly talented Senior Data Analyst to join our team in Cape Town with a specific focus on Customer Experience.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment, and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Head: Customer Insights and Engagement

Your mission, should you choose to accept it:

Budget modelling & financial planning

• Develop and maintain comprehensive budget models for Takealot Group Contact Centre operations across all brands
• Create annual, quarterly, and monthly financial forecasts for contact centre costs and resource requirements
• Build cost allocation models distributing shared services across Takealot.com, Sellers, Mr D, TFS etc.
• Analyse cost per contact metrics and efficiency benchmarks across brands and channels
• Support budget planning cycles with detailed financial analysis and scenario modelling
• Track budget variance analysis and provide recommendations for cost optimisation

Cross-Brand Analytics & Optimisation

• Analyse Cross-brand contact centre data, including contact volume patterns, trends, and drivers across all Group brands and channels
• Build predictive models for contact volumes incorporating seasonality, promotions, and business events
• Develop cross-brand benchmarking frameworks for performance, efficiency, and customer satisfaction
• Create unified reporting dashboards showing Group-wide contact centre performance and trends
• Analyse customer journey impacts on contact generation across different brand touchpoints
• Identify opportunities for economies of scale and shared service optimisation

Strategic forecasting & planning

• Produce long-term strategic forecasts for contact centre growth and evolution (1-3 year horizon)
• Model the impact of business initiatives, new product launches, and market expansion on contact volumes
• Analyse seasonal patterns and special events' impact across all brands for strategic planning
• Support strategic decisions on contact centre footprint, technology investments, and capability development
• Create scenario planning models for business growth, market changes, and operational scaling
• Develop capacity planning models linking customer growth projections to resource requirements

Performance Analytics & Insights 

• Develop Group-wide KPI frameworks and performance measurement systems
• Analyse agent productivity, efficiency metrics, and performance trends across brands
• Build customer satisfaction analytics linking CSAT/NPS to operational performance across channels
• Create executive dashboards and reports for senior leadership and brand management
• Conduct deep-dive analyses on operational challenges and improvement opportunities
• Monitor industry benchmarks and best practices for contact centre operations
• Build customer segmentations, enabling agents to make more informed decisions 

Data governance & collaboration

• Establish data standards and definitions for cross-brand contact centre analytics
• Collaborate with Senior Capacity Planner to ensure operational and strategic analytics alignment
• Partner with Finance teams on budget planning, cost allocation, and financial reporting
• Work with business unit teams to understand unique business drivers and operational requirements
• Ensure data quality and consistency across all brand contact centre systems
• Document analytical methodologies and maintain knowledge management systems
• Lead change management initiatives for cross-brand process standardisation

Qualifications and Experience:

• Postgraduate degree (Honours, Masters, or higher) in Statistics, Mathematics, Computer Science, Economics, Business Analytics or related quantitative field with a strong analytical and research methodologies foundation
• Professional certification in financial planning, business analysis, or data analytics
• Contact centre management or customer experience certification (advantageous)
• 5-7 years of experience in commercial analytics, customer experience analysis, or contact centre analytics with demonstrable impact on business outcomes
• Proven experience working with large, complex customer datasets and building predictive business models
• Background in customer service analytics, ticket analysis, contact centre performance measurement, or contact reduction initiatives
• Experience working with contact centre operations and understanding customer experience metrics
• Experience in multi-brand or complex organisational environments 
• E-commerce, retail, or digital marketplace customer service environment experience strongly preferred
• Proven track record in budget variance analysis and cost optimisation delivery
• Experience with growth target setting and performance accountability reporting
• Experience collaborating cross-functionally across teams, including customer service, finance, marketing and operations
• Experience leading analytical projects and influencing senior stakeholders
• Change management experience in implementing standardisation across multiple business units

Skills, Knowledge and Abilities Required:

Financial & analytical skills:

• Advanced financial modelling and budget planning expertise
• Cost accounting and allocation methodology experience
• Forecasting and predictive modelling capabilities (time series, regression, scenario analysis)
• Advanced Excel/Google Sheets with complex financial models and macros
• Advanced statistical forecasting techniques and hypothesis testing

Data & BI skills:

• Advanced SQL and R or Python
• Experience working with Google BigQuery (GBQ) and Looker (or similar platforms)
• Data visualisation and executive dashboard development
• Experience with large datasets and data warehouse environments

Business skills:

• Strategic planning and scenario modelling with long-term business impact assessment
• Cross-brand and multi-business analysis with standardisation and optimisation focus
• Executive presentation and communication skills with senior leadership influence capability
• Process improvement and optimisation methodologies
• Project management and stakeholder coordination across complex organisational structures
• Change management and process standardisation experience in multi-brand environments
• Industry knowledge of e-commerce customer service trends and best practices

Attributes Required:

• Advanced problem-solving abilities with strong diagnostic skills for root-cause analysis and hypothesis-driven investigation
• Deep understanding of contact centre data, business models, and operational metrics
• Strategic thinking capabilities linking analytical insights to business strategy and competitive advantage
• Ability to synthesise complex, multi-source data into actionable business recommendations
• Change management skills for implementing cross-brand standardisation and process improvements
• Understanding of customer journey analytics, omnichannel experience, and e-commerce customer behaviour
• Exceptional storytelling and presentation skills with the ability to influence senior stakeholders and drive decision-making
• Cross-functional leadership capabilities with strong stakeholder management and consensus-building skills
• Executive presence and ability to communicate complex analytical concepts to non-technical audiences
• Strong documentation mindset with focus on process improvement, automation, and knowledge management
• Self-guided learner with strong prioritisation skills, attention to detail under pressure, and a deadline-driven approach
• Ability to manage multiple competing priorities while maintaining quality and accuracy standards
• Can-do attitude with high energy, bias toward action, and passion for brand excellence and customer satisfaction

The Environment: 

• takealot.com employees are entrepreneurial and dynamic, smart, customer- centric, fun and have the shared ambition of takealot.com being the leading e- commerce company in Africa. 
• We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback/new ideas on where we can improve. 
• We are short on ego and high on output. 
• We are doers and not only thinkers, it's all in the execution after all. 
• We love what we do and what we are creating.
• We seek to employ an Extra Ordinary Mind who is Smart, has Integrity, and is Hardworking. 

If you meet the above you are an Extraordinary Mind so come and join us! 

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities to apply.

takealot.com, South Africa's leading online retailer, is looking for a highly accomplished Head: Public Policy to join our Corporate Affairs team in Cape Town.

We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us. We offer a market-related, Total Remuneration Package which allows full flexibility according to your needs, a great work environment and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

This position reports to the Group Executive: Public Policy & External Affairs

Role Purpose

The Regulatory Economist and Data Lead is responsible for transforming Takealot Group’s extensive operational and commercial data into credible policy evidence. The role ensures that all public policy positions are underpinned by robust quantitative analysis, allowing the Group to strengthen its proof points in engagements with government, regulators, Parliamentarian, and the media.

This role sits at the intersection of data science, economics, and public policy, converting internal “big data” into externally persuasive narratives that withstand scrutiny from regulators, economists, and civil society.

Strategic Accountabilities

Economic Impact Modelling & Quantification

Design, build, and maintain dynamic economic impact models that quantify Takealot Group’s contribution, but not limited, to:

• SME growth and marketplace seller revenues.
• Driver and courier earnings, cost structures, and net take-home pay.
• Regional and last-mile logistics infrastructure investment.
• Tax contributions, including VAT, customs duties, and indirect fiscal impacts

Ensure models are:

• Methodologically sound and replicable.
• Regularly updated with live or near-real-time data.
• Able to produce scenario analysis for policy “what-if” questions.

Translate outputs into regulator-ready metrics that align with government policy priorities (jobs, inclusion, growth, industrialisation).

Horizon Scanning, Monitoring & Early Warning

Conduct daily monitoring of:

• Government Gazette notices and draft regulations.
• Hansard (Parliamentary debates, questions, committee discussions).
• Political and economic commentary relevant to digital markets, labour, logistics, and trade.

Deploy AI-enabled monitoring tools to systematically flag emerging references to:

• E-commerce and digital platforms
• Gig and platform work
• Postal services, logistics, and last-mile delivery
• Digital taxation, customs, and cross-border trade

Synthesize signals into Early Warning Alerts, highlighting:

• Direction of regulatory intent
• Likely policy timelines
• Data gaps that need urgent modelling or research

Competitive & Comparative Policy Intelligence

• Track and analyse regulatory and policy developments affecting the platform economy, in South Africa or comparable markets.
• Monitor international regulatory frameworks and case law (e.g. EU Digital Markets Act, platform labour rulings, OECD digital tax discussions).
• Identify global precedents and data points that can be adapted to strengthen Takealot’s local policy positions.
• Provide comparative benchmarking to support submissions, briefing notes, and stakeholder engagements.

Fact-Sheet & Evidence Pack Production

Build and maintain a central Policy Statistics Library, consisting of:

• Pre-approved data points
• Executive-ready charts and infographics
• One-page “leave-behind” factsheets for Ministerial, Parliamentary, and media engagements

Ensure all outputs are:

• Internally consistent and quality-assured.
• Clearly sourced and methodologically transparent.
• Tailored to non-technical audiences without loss of credibility.

Refresh core factsheets regularly to reflect updated data and evolving policy narratives.

Targeted Research & Deep-Dive Analysis

Conduct structured research on specific policy questions as required, such as:

• The impact of fuel levy increases on gig worker earnings
• Employment elasticity under different regulatory scenarios
• Cost-pass-through effects of customs or VAT changes on consumer prices

Support the division in preparing:

• Regulatory submissions.
• Parliamentary briefing notes.
• External consultant terms of reference.

Where appropriate, collaborate with external economists and research institutions to validate assumptions or methodologies.

Data Governance, Credibility & Risk Management

Ensure that all externally used data is:

• Accurate, up to date, and internally auditable
• Cleared for public use in coordination with Legal and Risk

Maintain documentation of assumptions, methodologies, and data sources to defend against challenge or rebuttal.

Act as the department’s first line of defence against reputational risk arising from data misuse or misinterpretation.

Requirements:

• Honour’s degree in Economics, Statistics, Data Science, or related quantitative field
• Masters qualification in Economics or Public Policy (advantageous)

Experience:

• 3–5 years’ experience in:
• Economic consulting.
• Data analytics in a policy-relevant environment.
• Research units within banks, think tanks, or regulatory institutions.
•  Exposure to South African public policy or regulatory processes is highly desirable.

Technical Skills

• Advanced SQL and Excel modelling
• Data visualisation (Power BI, Tableau, or equivalent)
• Strong grounding in South African macroeconomic and fiscal frameworks
• Ability to work with large, imperfect datasets

Behavioural & Professional Attributes

• High analytical curiosity and attention to detail
• Comfortable working under time pressure and ambiguity
• Strong ethical judgment and respect for data integrity
• Ability to translate complex analysis into simple, persuasive insights

The Environment:

• We laugh hard, work harder, and take full ownership of our wins (and learning moments!)
• Teamwork makes the dream work – we're solution-seekers who thrive on collaboration
• Got feedback? Bring it on! We're always hungry for fresh ideas and honest input 🔄
• Ego? We checked that at the door. Results? Now we're talking!

If you meet the above you are an Extraordinary Mind so come and join us!

Takealot Group is an Equal Opportunity Employer. We encourage applicants from the previously disadvantaged groups and people with disabilities, to apply.

About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

The role in a nutshell:

As a Quantitative Software Engineer (Quant Dev) at Luno, you will design, build, and operate the high-performance systems and mathematical models that underpin our trading, pricing, and market-making capabilities.

You will sit at the intersection of quantitative research and production engineering, translating quantitative ideas, models, and strategies into robust, low-latency, production-grade systems that operate reliably in a 24/7 global market. Your work will directly impact liquidity, pricing quality, risk management, and customer outcomes.

Don’t be put off if you don’t tick all of the boxes – they’re a guide based on what we’d love to see 

What stack we work on:

• Kotlin, Swift & Angular
• Go(lang), gRPC
• Kubernetes (EKS), Docker
• CloudFlare, CloudFront, nginx
• MySQL (RDS), Redis (ElastiCache), etc
• Prometheus, Grafana, CloudWatch, Jenkins

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Plus the option to buy and sell up to 5 days leave
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! 
• A collaborative, friendly work community, with regular social events.
• 0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-DNI

About us:

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. 

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

The role in a nutshell:

You will form part of Luno’s Market Surveillance team based in Cape Town and will help scale the capability of the team for Luno’s global business with support from a growing team of enthusiastic, energetic Lunauts and through the use of technology and data-driven insights. You will report to the Market Surveillance Manager in South Africa and collaborate with other Anti-Financial Crime and Liquidity team members across multiple regions.

Your mission will be:

Your efforts as a Market Surveillance Analyst will ensure market conduct compliance is upheld by investigating, analysing and responding to surveillance alerts and suspicious trading events. The role will require agile execution on key projects and operational delivery of work within the functional team, while applying structured analysis to inform sound, evidence-based decisions. 

• Knowledge you are required to have and apply:
• Working on varied and often complex problems that require the assessment of multiple factors, applying sound judgement and learned techniques to deliver structured, data-informed analysis and investigation within the Market Surveillance policy framework and the broader Risk Management and Compliance Programme (“RMCP”).
• Vetting your own work and delivery, communicating progress and escalating blockers to the team
• Supporting internal compliance audits and facilitating compliance with regulations to ensure the market is operated in an orderly, fair and transparent manner;
• Understanding Market Surveillance regulations and developments in legislation, and pointing out when you suspect that Luno may be in breach of regulations
• Identify and adequately resolve issues noted on our exchange monitoring software that relate to Market Surveillance responsibilities.
• Investigate, Analyse & Execute:
• Independently escalate a series of alerts into a full-scale investigation, and interpret whether the trading behaviour is risky or explainable by market dynamics
• Analyse transactions, identifying suspicious patterns and behavioural trends, and distinguishing between legitimate and suspicious activities using sound analytical judgement and available data sources
• Adheres to the defined procedure for resolving an investigation or escalating risky activity, able to derive an appropriate recommendation and communicate the outcome
• Identify broader trading patterns or trends emerging across alerts and proactively raise potential systemic risks to the team
• Technological Expertise: 
• Independently uses problem-solving methodologies and available internal and external data tools to conduct structured investigative analysis on trading activity
• Understand, tune and report on trade surveillance rules and thresholds
• Understand market dynamics and root causes of changes affected by the functional area, and how they impact internal and external tools
• Comfortable working with datasets and interpreting quantitative outputs generated by surveillance systems
• Curiosity, Industry Awareness & Crypto Risk Assessment
• Demonstrates a strong interest in the evolving cryptocurrency landscape, staying informed on emerging trends and projects
• Applies critical thinking to assess the legitimacy, risk, and strategic fit of crypto assets under review
• Supports safe and compliant asset listings that align with Luno’s growth strategy and regulatory expectations
• Reporting Writing & Key Risk Indicator (KRI) Management: Compiling clear, accurate and evidence-based reports based on work performed, contributing to key risk indicators and ensuring outputs are supported by reliable data analysis applicable to the functional area as well as filing regulatory reports to ensure compliance and deepening trust with regulators;
• Cross-functional / team collaboration & Written / Oral Communication: Developing stable working relationships, internally and externally and communicating with the wider Financial Crime and Liquidity team to support ad-hoc requests and queries
• Business & Anti-Financial Crime Strategic Goals: Providing insights that contribute to the team's strategic direction and ability to understand Luno's function/department strategy.

A little about you:

• A relevant university degree from a recognised tertiary institution;
• At least 3 years of experience in a financial markets-related role within a trading or compliance environment;
• Ability to adapt within a fast-paced environment;
• Strong analytical, detail-oriented mindset with the ability to interpret and draw insights from data;
• Ability to conduct quantitative analysis using varied information sources to investigate complex financial transactions and trading behaviour;
• If not a South African citizen, an existing, valid permit to work in South Africa;
• A can-do, get-things-done attitude with outstanding problem-solving skills and the ability to conceptualise new ideas;
• Friendly, articulate, sound interpersonal skills and driven to succeed;
• Excellent English communication and writing skills;
• Strong sense of ethics, transparent, responsible and with unwavering integrity.

It will be highly advantageous if you have:

• An SAIFM certification or other relevant certification, such as an RPE specialisation in the SA Financial Market;
• A BSc, BEng, BComm or other relevant qualification from an accredited college/university in Finance, Engineering, Computer Science, Information Systems, Statistics, Math or a related quantitative field of study;
• Have a track record of working in Fintech or Regtech environments;
• Are familiar with and passionate about cryptocurrencies.

Life at Luno:

• A forward-thinking and ambitious team that values diversity, hard work, and the continuous quest for excellence.
• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Improve body and mind, with excellent private medical insurance.
• Access to Learnably and our additional learning platforms for your personal and professional development.
• Generous maternity/paternity and even paw-ternity for your furry friend.
• Annual Inspiration Day, in addition to your annual leave, which increases based on your length of service! Plus the option to buy and sell leave. 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts.
• Free lunch and snacks.
• 0 fees with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not negatively discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Software Engineer (Python) to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you’ve been challenged before? Think again!

• Scale: Over 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best. Code alongside industry leaders and up-skill in record time.
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com, and Mr D. We like to promote from within: Here’s your chance.

Who’s who in the tech space

This position reports to the respective team's manager.

Your mission, should you choose to accept it:

As a Software Engineer, you will be someone whose expertise directly translates into developing robust software in the e-commerce domain. You will have the opportunity to implement best practices to improve existing software and participate in the development of new features. While we don't promote after-hours work as part of the regular workday, we run a 24/7 business with the need to keep systems up and running. Software Engineers are expected to provide after-hours support on a rotational basis to resolve critical system issues if needed.

• Design and build solutions to assist our business users and improve customer experience
• Architect and design solutions with your team
• Develop code, making major improvements to non-functional areas
• Develop high-quality production code for work of high complexity and scale
• Utilize and improve functional and non-functional testing practices
• Champion, challenge, and iterate on best practices within engineering
• Design solutions for complex problems with difficult decision trade-offs, typically system or domain-wide
• Participate in and collaborate on architecture proposals across engineering
• Support alignment of architecture across the organisation
• Respond to and resolve bugs in production for systems in your division
• Respond to alerts and support incident response within your division
• Investigate and drive the resolution of issues that impact multiple teams
• Support, challenge existing, and define new engineering processes and directives
• Review and contribute fixes and content to internal documentation
• React to technology trends, identifying risks and opportunities for your division's technologies, systems, and domains
• Share knowledge through blog posts, tech talks, and workshops across engineering
• Contribute to discussions and decisions in the division
• Challenge others to always produce work of the highest quality
• REST and RPC API implementation and maintenance (using Python)
• Develop and maintain automation tests
• Liaise with various internal stakeholders to discuss project requirements, progress, etc.

The skills we need:

• Solutions-oriented, can-do attitude, and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Ability to dis-aggregate and structure solutions to ambiguous problems
• Solid quantitative skills
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor’s degree or an Advanced Diploma in Computer Science, Engineering, or related field (or equivalent practical experience).
• 5 to 10 years in a software development role
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures, and algorithms
• Experience in writing robust, efficient production code
• Proficient in a strongly typed open source language such as Python, Java, Golang, etc
• Exposure to RESTful APIs and web services.
• Experience with SQL database systems
• Experience with development in a Linux environment

Experience in the following will be advantageous:

• Familiarity with microservices architecture 
• Experience working in an Agile environment 
• MySQL, PostgreSQL, MS SQL
• Memcached, Redis
• Message Brokers, Queues, and PubSub systems (e.g., Kafka and RabbitMQ)
• Containerisation (e.g., Docker)
• Orchestration (e.g., Kubernetes)
• GitHub, Travis CI, Jenkins
• AWS, GCP, Azure
• JavaScript, React, jQuery

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like, high-five, collab, and make something great.
• Remote working: Enjoy the flexibility of working from home while having the option for in-office interactions. Takealot.com provides a fully remote setup with the choice to visit the office to relish in those water cooler moments when desired.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount: Takealotmore subscriptions and millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
• Right tools, right job: Mac or Linux, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech.
• Help when you need it most: Confidential counselling, legal support, and financial guidance, anytime, anywhere.
• Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Software Engineer (Search) to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!

Think you’ve been challenged before? Think again!

• Scale: Over 4 million happy shoppers shop online on takealot.com. Show them what you can do.
• Learn: We work with the best of the best. Code alongside industry leaders and up-skill in record time.
• Grow: Expand your career in the fast-growing Takealot Group: takealot.com, and Mr D. We like to promote from within: Here’s your chance.

Who’s who in the tech space

This position reports to the respective team's manager.

Your mission, should you choose to accept it:

As a Software Engineer, you will be someone whose expertise directly translates into developing robust software in the e-commerce domain. You will have the opportunity to implement best practices to improve existing software and participate in the development of new features. While we don't promote after-hours work as part of the regular workday, we run a 24/7 business with the need to keep systems up and running. Software Engineers are expected to provide after-hours support on a rotational basis to resolve critical system issues if needed.

The role is focused on maintaining our search stack. We are currently in the process of transitioning from Elasticsearch to Vertex AI Search, so experience with any of those would be a bonus, but not a necessity. Experience with any kind of search technology (Solr, Algolia) is relevant. Takealot runs mostly on Python, but experience in any of the mainstream backend languages (Python, Java or Go) is a plus.

• Design and build solutions to assist our business users and improve customer experience
• Architect and design solutions with your team
• Develop code, making major improvements to non-functional areas
• Develop high-quality production code for work of high complexity and scale
• Utilize and improve functional and non-functional testing practices
• Champion, challenge, and iterate on best practices within engineering
• Design solutions for complex problems with difficult decision trade-offs, typically system or domain-wide
• Participate in and collaborate on architecture proposals across engineering
• Support alignment of architecture across the organisation
• Respond to and resolve bugs in production for systems in your division
• Respond to alerts and support incident response within your division
• Investigate and drive the resolution of issues that impact multiple teams
• Support, challenge existing, and define new engineering processes and directives
• Review and contribute fixes and content to internal documentation
• React to technology trends, identifying risks and opportunities for your division's technologies, systems, and domains
• Share knowledge through blog posts, tech talks, and workshops across engineering
• Contribute to discussions and decisions in the division
• Challenge others to always produce work of the highest quality
• REST and RPC API implementation and maintenance (using Python)
• Develop and maintain automation tests
• Liaise with various internal stakeholders to discuss project requirements, progress, etc.

The skills we need:

• Solutions-oriented, can-do attitude, and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Ability to dis-aggregate and structure solutions to ambiguous problems
• Solid quantitative skills
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor’s degree or an Advanced Diploma in Computer Science, Engineering, or related field (or equivalent practical experience).
• 5 to 10 years in a software development role
• Experience with search technologies (Elasticsearch, Vertex AI Search, Solr, Algolia, or any other major third party provider)
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures, and algorithms
• Experience in writing robust, efficient production code
• Proficient in a strongly typed open source language such as Python, Java, Golang, etc
• Exposure to RESTful APIs and web services.
• Experience with SQL database systems
• Experience with development in a Linux environment

Experience in the following will be advantageous:

• Familiarity with microservices architecture 
• Experience working in an Agile environment 
• MySQL, PostgreSQL, MS SQL
• Memcached, Redis
• Message Brokers, Queues, and PubSub systems (e.g., Kafka and RabbitMQ)
• Containerisation (e.g., Docker)
• Orchestration (e.g., Kubernetes)
• GitHub, Travis CI, Jenkins
• AWS, GCP, Azure
• JavaScript, React, jQuery

Let’s talk about life @ Takealot Group

• The power is in your hands: We offer a market-related Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny.
• No doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like, high-five, collab, and make something great.
• Remote working: Enjoy the flexibility of working from home while having the option for in-office interactions. Takealot.com provides a fully remote setup with the choice to visit the office to relish in those water cooler moments when desired.
• Mentorship programme: We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best.
• Naspers Tech Community & Online Learning: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Up-skill with free access to courses on MyAcademy, Udacity, Coursera, and more.
• Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).
• Staff discount: Takealotmore subscriptions and millions of products across 28 departments. What more could you ask for?
• Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it.
• Right tools, right job: Mac or Linux, two monitors or one. Whatever your preference, you’ll work on the latest tech, off the latest tech.
• Help when you need it most: Confidential counselling, legal support, and financial guidance, anytime, anywhere.
• Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes, and all things machine learning. If you build it, they will come.
• Free parking: No more 5km fun runs to your desk (unless you want to).

Like what you see?

If you meet the above, you are an Extraordinary Mind. Apply today!!

Takealot Group is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

About us:

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. 

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

The role in a nutshell:

You will form part of Luno’s Market Surveillance team based in Cape Town and will help scale the capability of the team for Luno’s global business with support from a growing team of enthusiastic, energetic Lunauts and through the use of technology and data-driven insights. You will report to the Market Surveillance Manager in South Africa and collaborate with other Anti-Financial Crime and Liquidity team members across multiple regions.

Your mission will be:

Your efforts as a Market Surveillance Analyst will ensure market conduct compliance is upheld by investigating, analysing and responding to surveillance alerts and suspicious trading events. The role will require agile execution on key projects and operational delivery of work within the functional team, while applying structured analysis to inform sound, evidence-based decisions. 

• Knowledge you are required to have and apply:
• Working on varied and often complex problems that require the assessment of multiple factors, applying sound judgement and learned techniques to deliver structured, data-informed analysis and investigation within the Market Surveillance policy framework and the broader Risk Management and Compliance Programme (“RMCP”).
• Vetting your own work and delivery, communicating progress and escalating blockers to the team
• Supporting internal compliance audits and facilitating compliance with regulations to ensure the market is operated in an orderly, fair and transparent manner;
• Understanding Market Surveillance regulations and developments in legislation, and pointing out when you suspect that Luno may be in breach of regulations
• Identify and adequately resolve issues noted on our exchange monitoring software that relate to Market Surveillance responsibilities.
• Investigate, Analyse & Execute:
• Independently escalate a series of alerts into a full-scale investigation, and interpret whether the trading behaviour is risky or explainable by market dynamics
• Analyse transactions, identifying suspicious patterns and behavioural trends, and distinguishing between legitimate and suspicious activities using sound analytical judgement and available data sources
• Adheres to the defined procedure for resolving an investigation or escalating risky activity, able to derive an appropriate recommendation and communicate the outcome
• Identify broader trading patterns or trends emerging across alerts and proactively raise potential systemic risks to the team
• Technological Expertise: 
• Independently uses problem-solving methodologies and available internal and external data tools to conduct structured investigative analysis on trading activity
• Understand, tune and report on trade surveillance rules and thresholds
• Understand market dynamics and root causes of changes affected by the functional area, and how they impact internal and external tools
• Comfortable working with datasets and interpreting quantitative outputs generated by surveillance systems
• Curiosity, Industry Awareness & Crypto Risk Assessment
• Demonstrates a strong interest in the evolving cryptocurrency landscape, staying informed on emerging trends and projects
• Applies critical thinking to assess the legitimacy, risk, and strategic fit of crypto assets under review
• Supports safe and compliant asset listings that align with Luno’s growth strategy and regulatory expectations
• Reporting Writing & Key Risk Indicator (KRI) Management: Compiling clear, accurate and evidence-based reports based on work performed, contributing to key risk indicators and ensuring outputs are supported by reliable data analysis applicable to the functional area as well as filing regulatory reports to ensure compliance and deepening trust with regulators;
• Cross-functional / team collaboration & Written / Oral Communication: Developing stable working relationships, internally and externally and communicating with the wider Financial Crime and Liquidity team to support ad-hoc requests and queries
• Business & Anti-Financial Crime Strategic Goals: Providing insights that contribute to the team's strategic direction and ability to understand Luno's function/department strategy.

A little about you:

• A relevant university degree from a recognised tertiary institution;
• At least 3 years of experience in a financial markets-related role within a trading or compliance environment;
• Ability to adapt within a fast-paced environment;
• Strong analytical, detail-oriented mindset with the ability to interpret and draw insights from data;
• Ability to conduct quantitative analysis using varied information sources to investigate complex financial transactions and trading behaviour;
• If not a South African citizen, an existing, valid permit to work in South Africa;
• A can-do, get-things-done attitude with outstanding problem-solving skills and the ability to conceptualise new ideas;
• Friendly, articulate, sound interpersonal skills and driven to succeed;
• Excellent English communication and writing skills;
• Strong sense of ethics, transparent, responsible and with unwavering integrity.

It will be highly advantageous if you have:

• An SAIFM certification or other relevant certification, such as an RPE specialisation in the SA Financial Market;
• A BSc, BEng, BComm or other relevant qualification from an accredited college/university in Finance, Engineering, Computer Science, Information Systems, Statistics, Math or a related quantitative field of study;
• Have a track record of working in Fintech or Regtech environments;
• Are familiar with and passionate about cryptocurrencies.

Life at Luno:

• A forward-thinking and ambitious team that values diversity, hard work, and the continuous quest for excellence.
• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Improve body and mind, with excellent private medical insurance.
• Access to Learnably and our additional learning platforms for your personal and professional development.
• Generous maternity/paternity and even paw-ternity for your furry friend.
• Annual Inspiration Day, in addition to your annual leave, which increases based on your length of service! Plus the option to buy and sell leave. 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts.
• Free lunch and snacks.
• 0 fees with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not negatively discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Fraud and Risk to join our Cape Town Data Science team. In this role, you'll be at the forefront of protecting our affiliate marketing ecosystem by researching, developing, and deploying ML models that detect and prevent fraud across attribution, lead quality, and partner compliance. You'll work on high-impact problems spanning traditional fraud patterns and emerging threats—from attribution manipulation to browser extension abuse—while building production systems that scale. This is an opportunity to combine rigorous analytical work with tangible business impact in a fast-moving, adversarial domain.

Core Responsibilities

Research & model development

• Conduct R&D on fraud detection and risk monitoring across the digital advertising ecosystem, including attribution fraud, lead fraud, click injection, browser extension abuse (e.g., Honey-style coupon hijacking), brand safety violations, and creator authenticity verification.
• Design, prototype, and validate ML models and rule-based systems for fraud detection, partner risk scoring, compliance monitoring, and trust & safety workflows.
• Research and apply graph-based fraud detection techniques (community detection, link analysis, behavioral clustering) and explore graph database applications for modeling relationships between users, devices, transactions, and partners to uncover coordinated fraud rings and suspicious network patterns.
• Stay ahead of emerging fraud patterns through continuous learning—monitoring industry trends, reviewing academic literature, exploring data for novel anomalies, and collaborating closely with Product, Compliance, and Trust & Safety teams.

Production deployment & iteration

• Deploy Fraud and Risk ML models to production; own the end-to-end delivery from ETL, feature engineering, model training, deployment, to monitoring.
• Iterate on live models by adding new features, improving performance (precision/recall/F1), and reducing false positives.
• Partner with MLOps and Engineering to ensure models are robust, scalable, and production-ready (testing, alerts, drift monitoring, retraining pipelines).

Data analytics & insights

• Perform deep-dive analyses on fraud trends, partner behavior, and risk patterns to inform model strategy and business decisions.
• Translate analytical findings into actionable recommendations for Product, Marketing, and Finance stakeholders.
• Build dashboards and reports to communicate model performance, fraud impact, and risk metrics to leadership.

Cross-functional collaboration

• Work closely with Product, Engineering, Compliance, and Finance to scope requirements, prioritize work, and align on success metrics.
• Communicate technical work clearly to non-technical audiences; present findings and tradeoffs in planning forums and reviews.
• Contribute to a culture of experimentation, documentation, and knowledge sharing within the Data Science team.

Qualifications

Required

• Experience: 5+ years in data science, ML, or advanced analytics, with at least 2+ years focused on fraud detection, risk modeling, or anomaly detection in production environments.
• Fraud & risk domain expertise: Demonstrated experience building and deploying fraud or risk models (classification, anomaly detection, time-series analysis, graph-based methods).
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, or similar).
• Experience with feature engineering, model evaluation (ROC/AUC, precision-recall, cost-sensitive learning), and handling imbalanced datasets.
• Familiarity with production ML workflows (versioning, monitoring, A/B testing, model retraining).
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, and interpret results with business context.
• Communication: Ability to translate complex technical work into clear insights for stakeholders; experience presenting to cross-functional teams.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience in affiliate marketing, ad tech, or e-commerce fraud (attribution fraud, click fraud, lead validation, coupon abuse).
• Familiarity with browser extension detection, fingerprinting, or device/user identity resolution.
• Experience with graph analytics or network-based fraud detection (community detection, link analysis, behavioral clustering).
• Knowledge of privacy-preserving ML techniques or working with privacy-constrained data.
• Experience with real-time or near-real-time scoring and low-latency deployment (e.g., REST APIs, streaming pipelines).
• Familiarity with GCP tools (BigQuery, Vertex AI, Cloud Run) and/or Databricks/Spark for large-scale data processing.
• Exposure to rule engines, decision trees, or hybrid rule-ML systems for compliance and risk workflows.

What sets you apart

• Adversarial thinking: You understand how fraudsters operate and can anticipate evasion tactics and evolving attack vectors.
• Pragmatic delivery: You balance rigor with speed, prioritizing MVPs and iterative improvement over perfection.
• Business impact orientation: You focus on measurable outcomes (fraud loss reduction, false positive rates, operational efficiency) and communicate ROI clearly.
• Comfort with ambiguity: You thrive in evolving problem spaces, defining your own roadmap when fraud patterns shift or new threats emerge.
• Collaboration and influence: You build trust across teams and can drive adoption of your models through enablement, documentation, and clear storytelling.

Benefits and Perks:

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

Takealot Fulfilment Solutions (TFS), a division of Takealot Online (RF) (Pty) Ltd, is looking for a highly talented Project Engineer to join our team in Cape Town

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

This position reports to the : Head of Logistics Services

To drive operational excellence and strategic growth within the TFS courier and TFS On-demand service divisions by implementing innovative projects that expand service offerings, optimize operational efficiency, and enhance client experience. This role serves as a key catalyst for analyzing data trends, leading continuous improvement initiatives, facilitating seamless client onboarding, and coordinating cross-functional collaboration to maximize TFS network performance and market expansion.

Your responsibilities can include:

• Project Implementation: Lead and execute strategic projects within the TFS courier and TFS On-demand space to enhance service capabilities and market reach
• Service Expansion: Identify, develop, and implement new service offerings to meet evolving market demands and client requirements
• Data Analysis & Insights: Analyze operational and performance data trends to identify opportunities for optimization, cost reduction, and service enhancement
• Continuous Improvement: Initiate and implement improvement projects across TFS operations to increase efficiency, reduce costs, and improve service quality
• Client Onboarding: Manage and streamline the onboarding process for new clients, ensuring smooth integration and optimal service delivery
• Operational Collaboration: Work closely with operations teams to identify areas of improvement, implement solutions, and ensure operational excellence
• Stakeholder Management: Maintain clear communication channels and manage relationships with internal and external stakeholders throughout project lifecycles
• Process Standardization: Investigate, establish, and implement standardized resources and procedures across the TFS network
• Cross-functional Optimization: Collaborate with various departments to optimize delivery lead-times, logistics costs, and overall operational efficiency
• Compliance & Standards: Support the development and improvement of health and safety plans, programs, and procedures within TFS operations

Qualifications and experience:

• Bachelor's degree in Industrial Engineering, Logistics, Supply Chain Management
• Minimum 3-5 years of experience in logistics, supply chain, courier services, or on-demand delivery operations
• 2+ years of hands-on project management experience with demonstrated success in implementing operational improvements
• Previous experience in courier, e-commerce fulfillment, or last-mile delivery operations highly preferred
• Experience working with data analytics tools and interpreting operational KPIs and metrics
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Project) with advanced Excel skills for data analysis
• Basic understanding of logistics management systems
• Knowledge of process mapping and workflow optimization tools
• Experience working in fast-paced, high-volume operational environments
• Background in continuous improvement methodologies
• Previous exposure to multi-stakeholder project environments
• Experience with cost analysis and budget management for operational projects
• Proven track record of leading cross-functional teams and managing complex initiatives
• Previous experience managing external vendor or client relationships

Attributes required :

• Logistics & Supply Chain Expertise: Proven experience in logistics, supply chain management, or courier/on-demand service operations
• Project Management Skills: Strong ability to manage complex projects from conception to implementation with measurable outcomes
• Analytical Capabilities: Advanced quantitative analytical skills with expertise in data interpretation, management metrics, and cost accounting principles
• Stakeholder Collaboration: Exceptional ability to work collaboratively with internal teams, external clients, and cross-functional stakeholders
• Problem-Solving Acumen: Ability to interpret complex operational environments, identify improvement opportunities, and implement innovative solutions
• Leadership & Communication: Strong leadership, team development, and communication skills with the ability to influence and drive change
• Adaptability & Resilience: High degree of personal motivation, resilience, and adaptability in fast-paced, evolving business environments
• Client-Focused Mindset: Understanding of client needs and market dynamics in the courier and on-demand service sectors

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

More than just a job, we offer: 

A culture that celebrates individual uniqueness while championing the strength of togetherness. Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

This position reports to the Head of TDT

Your responsibilities will include: 

• Initiating and implementing continuous improvement projects across the TDT network to improve efficiency and reduce cost;
• Operationalizing new business development initiatives within the TDT network;
• Support with developing and/or improving the health and safety plans, programmes and procedures in the TDT network;
• Auditing operational teams against approved systems;
• Coordinating changes required in the Takealot Pickup Point network in support of business expansion;
• Investigating, establishing and implementing standardized resources across the TDT network;
• Working cross functionally with internal and external stakeholders to optimise total delivery lead-time and logistics cost; and
• Active Stakeholder Management by ensuring clear communication channels are maintained between all parties involved in improvement projects.

Attributes required:

• Logistics supply chain experience;
• Ability to work collaboratively with internal and external stakeholders;
• Ability to interpret complex operational environments, identify problem areas and project manage the implement of leading edge solutions;
• Quantitative analytical capability, with a strong grasp of management and cost accounting principles and metrics;
• Good leadership and team development skills; and
• High degree of personal motivation and resilience.

Qualifications and Experience: 

• BEng Industrial or Logistics degree
• Minimum 3 – 5 years within Logistics / Supply Chain
• Sound operational background within logistics management
• Proven track record of success in delivering projects against operational and profit targets
• Experience of managing both internal and external stakeholders

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

More than just a job, we offer: 

A culture that celebrates individual uniqueness while championing the strength of togetherness. Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

Join Our Mission at Takealot Fulfilment Solutions | We Are TFS

Revolutionising e-commerce logistics in South Africa with cutting-edge technology and operational excellence. We deliver 30+ million orders annually, empowering businesses and driving economic growth.

Who We're Looking For:

Innovative, ambitious individuals ready to shape the future of e-commerce logistics. At TFS, "Uniquely You" meets "Powerfully Us", where your individuality strengthens our collective mission.

Who’s who in the tech space

This position reports to the respective team's manager.

As a Software Engineer, you will be someone whose expertise directly translates into the development of robust software in the e-commerce domain. You will be from a computer science background with an emphasis on software development. You will have the opportunity to implement best practices to improve existing software and participate in the development of new features. While we don't promote after-hours work as part of the regular workday, we run a 24/7 business with the need to keep systems up and running. Software Engineers are expected to provide after-hours support on a rotational basis to resolve critical system issues. 

Your mission, should you choose to accept it:

• Design and build solutions to assist our business users, and improve customer experience
• Architect and design solutions with your team
• Keep up to date with technology trends
• Apply creative thought processes to solve complex challenges at scale
• Strong focus on making takealot.com the best place to shop at, a happy customer is a repeat customer
• Drive for excellence, to help foster a world-class engineering team

The skills we need:

• Solutions-oriented, can-do attitude, and high energy
• Strong analytical and critical thinking, using data to inform decisions
• Ability to dis-aggregate and structure solutions to ambiguous problems
• Solid quantitative skills
• Ability to interview and interact professionally, with internal and external people
• Capability to present ideas succinctly, in writing and verbally
• Versatile and with the appetite to learn by doing

Qualifications & Experience:

• Bachelor's Degree or Advanced Diploma in Computer Science, Mathematics or Engineering or equivalent experience in software development.
• A thorough understanding of computer science fundamentals, including object-oriented design, data structures and algorithms
• 3 to 5 years experience in a software development role for an intermediate-level position 
• 5 to 10+ years experience in a software development role for a senior-level position
• Experience in writing robust, efficient production code
• Proficient in a strongly typed language such as Python
• Experience with development in a Linux environment
• Experience with SQL database systems
• Open to diversifying language skill set
• Experience in the following will be advantageous:
  • MySQL, PostgreSQL, MS SQL
  • Memcached, Redis
  • Message Brokers, Queues and PubSub systems (e.g. Kafka and RabbitMQ)
  • Containerisation (e.g. Docker) 
  • Orchestration (e.g. Kubernetes)
  • GitHub, Travis CI, Jenkins
  • AWS, GCP, Azure
  • Microservices

Why Join TFS:

• Purpose-driven impact: Transform lives through logistics innovation
• Advanced technology: Work with cutting-edge systems in a fast-paced environment
• Career growth: Thrive in an agile space that champions continuous improvement
• Inclusive culture: Your unique perspective drives extraordinary results

At TFS, your growth is our growth. You'll be joining a team powered by Takealot Group's core values. 

More than just a job, we offer: 

A culture that celebrates individual uniqueness while championing the strength of togetherness. Be part of creating sustainable, scalable solutions that make a difference across South Africa's e-commerce landscape.

Takealot Fulfilment Solutions (TFS) is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

About impact.com

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products—Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

About the Role

We're seeking a Senior Data Scientist specializing in Product Data Quality to join our Cape Town Data Science team. In this role, you'll own the analytical and technical foundation of product data quality across our ecosystem—spanning catalog hygiene, transaction matching, classification modeling, deduplication, and global product identity. You'll work across both the structured catalog universe and the messier, larger-scale sales transaction universe, building models and infrastructure that power search, recommendations, and business intelligence. This is a high-impact role that demands both analytical depth and strong engineering capabilities: you'll take models from research to production, build scalable data pipelines, and create the monitoring infrastructure that makes our product data foundation trustworthy and continuously improving. Your work will directly influence search relevance, recommendation quality, match rates, and reporting accuracy across the business.

Core Responsibilities

Product classification & taxonomy modeling

• Develop, deploy, and maintain ML models for automated product categorization and taxonomy assignment across hierarchical category structures.
• Improve classification accuracy through feature engineering (text, attributes, embeddings), model iteration, and robust evaluation on both catalog and sales transaction data.
• Monitor production model performance; identify and remediate misclassification patterns that impact search, recommendations, and reporting.
• Collaborate with category experts and Product teams to refine taxonomy definitions, handle edge cases, and adapt to new product types.

Catalog & sales universe data quality

• Conduct deep-dive analyses into catalog completeness, consistency, and correctness across retailers, categories, and product attributes.
• Own data quality analytics for the sales transaction universe—a larger, messier dataset than catalog—measuring match rates, diagnosing gaps (unmatched transactions, misattributed products), and identifying systematic failures.
• Define and track catalog and transaction health KPIs (attribute coverage, schema compliance, match rates, GPID coverage, freshness); identify root causes and drive remediation.
• Build monitoring systems and dashboards to track data quality trends across retailers, categories, and time periods.

Global Product ID (GPID) coverage & matching

• Assess GPID (GTIN/UPC/EAN) coverage and accuracy across both catalog and sales transaction data; identify gaps by category, retailer, and brand.
• Build and improve matching algorithms to link sales transactions to catalog products, handling missing GPIDs, naming inconsistencies, and category misclassification.
• Quantify the impact of GPID enrichment and matching improvements on search, deduplication, and reporting accuracy.
• Partner with external data providers and brands to improve GPID coverage and resolve identifier conflicts.

Deduplication & entity resolution

• Identify product variants (size, color, packaging) and duplicates within and across retailer catalogs using clustering, entity resolution, embeddings, and similarity-based techniques.
• Build scalable deduplication pipelines that handle catalog and transaction data at scale; define patterns, heuristics, and ML-based approaches for variant grouping.
• Measure the impact of deduplication on search quality, recommendation accuracy, and reporting; iterate on models to reduce false positives and improve precision.
• Support Data Engineering and Platform teams in productionizing deduplication and entity linking infrastructure.

Manufacturer data quality & brand engagement

• Evaluate the consistency and accuracy of manufacturer-level attributes (brand name, MPN, manufacturer identifiers) across catalogs and transactions.
• Detect systemic issues at the brand and retailer level; build scorecards and engage brands (via the Tiger Team) to drive data quality improvements.
• Create feedback loops to measure manufacturer data quality and track progress on remediation initiatives.

Product search & retrieval infrastructure

• Research and prototype improvements to product search and retrieval pipelines, including vector search, semantic similarity, and embedding-based matching.
• Explore and implement vector database infrastructure (e.g., FAISS, Pinecone, Weaviate) to support fast, scalable product retrieval and similarity search.
• Contribute to the design and optimization of retrieval pipelines that combine text, attributes, and embeddings for search and recommendations.
• Evaluate search relevance and ranking quality; iterate on indexing strategies, query preprocessing, and re-ranking models.

Product graph & relational modeling

• Build and maintain product graph infrastructure that captures relationships between products, variants, brands, categories, retailers, and transactions.
• Use graph-based techniques (community detection, link analysis, centrality) to identify product families, detect duplicates, and surface insights on product hierarchies.
• Partner with Data Platform teams to design scalable graph storage and query patterns (e.g., Neo4j, graph extensions in BigQuery).

Insights, monitoring & reporting

• Systematically identify, classify, and prioritize product data quality issues; create clear summaries, visualizations, and actionable recommendations for stakeholders.
• Build and maintain dashboards and recurring reports for key product data KPIs (match rates, GPID coverage, duplicate rates, classification accuracy, attribute completeness).
• Establish alerting and anomaly detection systems to proactively surface data quality degradation and model performance issues.

Engineering & production deployment

• Take models and analytics prototypes from POC to production, with or without engineering partnership—owning deployment, testing, monitoring, and iteration.
• Build robust, scalable data pipelines and ML workflows using production-grade tools and best practices (versioning, CI/CD, testing, observability).
• Collaborate with MLOps and Data Engineering teams to ensure production readiness: reliability, latency, drift monitoring, and SLOs.

Qualifications

Required

• Experience: 5+ years in data science, ML engineering, or analytics engineering, with at least 2+ years focused on product data, catalog quality, entity resolution, search/retrieval, or e-commerce/marketplace analytics.
• Engineering strength: Proven ability to build production-grade data pipelines and deploy ML models independently; strong software engineering fundamentals (code quality, testing, version control, CI/CD).
• Data quality expertise: Demonstrated experience analyzing and improving large-scale structured data quality (completeness, consistency, accuracy, deduplication, entity resolution).
• ML & classification experience: Track record building and deploying classification models, ranking systems, or search/retrieval pipelines in production.
• Technical skills:
• Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and data manipulation tools (pandas, PySpark).
• Experience with entity resolution, fuzzy matching, clustering, embeddings, and similarity-based techniques (Levenshtein distance, cosine similarity, nearest-neighbor search).
• Familiarity with production ML workflows (model versioning, monitoring, evaluation, retraining, A/B testing).
• Experience with data profiling, anomaly detection, and exploratory analysis at scale.
• Analytical rigor: Strong foundation in statistics and ML; ability to design experiments, validate models, interpret results, and communicate insights with business context.
• Stakeholder collaboration: Experience working cross-functionally with Product, Engineering, and business teams; ability to translate technical work into actionable recommendations.
• Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, or similar); Master's/PhD preferred.

Preferred / Nice to have

• Experience with vector search and embeddings (sentence transformers, OpenAI embeddings, BERT-based models) and vector databases (FAISS, Pinecone, Weaviate, Milvus, pgvector).
• Familiarity with search and retrieval systems (Elasticsearch, Solr, semantic search, BM25, hybrid ranking) and understanding how data quality impacts relevance.
• Experience with graph databases and graph analytics (Neo4j, NetworkX, graph algorithms for clustering and link prediction).
• Knowledge of NLP techniques for product data (text classification, named entity recognition, attribute extraction, title/description parsing, semantic similarity).
• Experience with multimodal modeling (combining text, images, and structured attributes for classification or retrieval).
• Familiarity with global product identifiers (GTIN/UPC/EAN, MPN, SKU hierarchies) and standards organizations (GS1, GDSN).
• Experience with deduplication and record linkage at scale (blocking strategies, probabilistic matching, hierarchical clustering).
• Familiarity with GCP tools (BigQuery, Vertex AI, Dataflow, Cloud Run, Looker) and/or Databricks/Spark for large-scale processing and deployment.
• Exposure to master data management (MDM) or data governance practices in product or catalog contexts.
• Experience with recommendation systems or understanding how product data quality impacts personalization and ranking.

What sets you apart

• Product data obsession: You care deeply about data quality and understand how poor catalog hygiene cascades into user experience, business reporting, and operational inefficiencies.
• Engineering mindset: You don't just build prototypes—you ship them. You write clean, tested, production-ready code and can own the full lifecycle from research to deployment.
• Detective instincts: You love digging into messy data, finding patterns, and uncovering root causes—whether it's a systematic retailer issue, a subtle duplicate cluster, or a classification edge case.
• Pragmatic prioritization: You balance comprehensiveness with impact, focusing on the 20% of issues that drive 80% of quality problems and business value.
• Search & retrieval intuition: You understand how product data powers search and recommendations, and you know how to build infrastructure (embeddings, vector DBs, graphs) that makes these systems work at scale.
• Stakeholder fluency: You translate messy data findings into clear, actionable recommendations and build trust with brands, retailers, Product, and Engineering teams.
• Comfort with ambiguity: You thrive in evolving data ecosystems, defining your own quality metrics and technical roadmaps when the problem space is still being shaped.

Benefits and Perks: 

At impact.com, we believe that when you’re happy and fulfilled, you do your best work. That’s why we’ve built a benefits package that supports your well-being, growth, and work-life balance.

• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We’re committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team: 

The Data community at Luno, comprising Data Engineers, Scientists and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Product Data Scientist joining Luno, you would be part of the Product Analytics team providing high quality insights into our product through experimentation and advanced analytics.

Our current technology stack includes Databricks, Thoughtspot, Amplitude and Segment.

The role in a nutshell:

As we accelerate on our mission to put crypto in everyone’s hands, your role is to use data and insights to drive better product decisions and influence the Luno product strategy. This will involve collaborating with cross-functional teams to find, size, prioritise, evaluate and iterate on problems and opportunities to enhance our product. 

This is a hands-on product analytics role focused on experimentation, customer behaviour and data-informed decision-making. While there may be opportunities to apply modelling or machine learning techniques for specific use cases, this is not a production ML-focused role.

Your mission will be:

• Partner with cross-functional product teams including Product Managers, Designers and Engineers to provide product analytics for data-informed decisions.
• Partner with product and marketing teams to evaluate and optimise growth initiatives across acquisition, activation, retention and re-engagement.
• Empower teams with the data, tools and skills required to prioritise initiatives and shape the product roadmap.
• Design and implement event tracking data to unlock actionable insights.
• Define, understand, and test opportunities and levers to improve the product through insights and recommendations.
• Partner with product and marketing teams to design high-quality experiments, interpret results and ensure learnings translate into action.
• Apply analytical techniques such as segmentation, funnel and cohort analysis to deeply understand customer behaviours and journeys.
• Use data and analytics to inform, influence and support execution of the product strategy.

A little about you:

• You enjoy using data to understand complex customer behaviour and turn ambiguity into clear, actionable insights.
• You approach problems in a structured way, forming hypotheses, testing assumptions and iterating based on evidence.
• You’re comfortable influencing product and growth decisions without direct ownership, using data, clear reasoning and storytelling.
• You can balance speed and analytical rigour, knowing when fast, directional insight is more valuable than perfectly polished analysis.
• You communicate confidently with both technical and non-technical stakeholders, adapting your message to your audience.
• You enjoy collaborating with cross-functional partners and value collective outcomes over individual credit.
• You’re curious by nature and motivated to keep learning as tools, techniques and the data landscape evolve.

The ideal Lunaut will have:

• Typically 3+ years of experience in a data, analytics or product analytics role.
• A strong foundation in quantitative disciplines such as Statistics, Mathematics, Computer Science, Engineering or Economics (degree or equivalent practical experience).
• Experience partnering with cross-functional product teams to influence product direction, prioritisation and decision-making using data.
• Demonstrable experience designing, analysing and interpreting experiments (e.g. A/B tests) in a product environment.
• Hands-on experience working with event-level product data to understand customer behaviour and journeys.
• Strong SQL skills and experience working with relational databases.
• Experience using data visualisation and BI tools (e.g. Thoughtspot or similar) to communicate insights.
• Working proficiency in Python (or similar) for analysis and statistical work.
• The ability to translate ambiguous business problems into clear analytical questions and actionable insights.
• Confidence communicating data-driven insights to both technical and non-technical stakeholders.
• Comfort operating in fast-moving, evolving environments and adapting your approach as context changes.
• An interest in crypto and financial products, and curiosity to learn more about the space.

Life at Luno:

• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Plus the option to buy and sell up to 5 days leave
• Improve body and mind, with excellent private medical insurance
• Access to Learnably and our additional learning platforms for your personal and professional development
• 6 months primary care-giver leave
• Paw-ternity leave for your furry friend
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts
• 0 fees up to a certain amount with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-DNI