Who we are ?

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. 

Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Qualify the feasibility of Use Cases, translating business challenges into technical formulations
• Define the business and statistical hypothesis, and build the solution followed by testing and validation
• For those Use Cases that are validated, you will help develop a production-ready solution.

When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to choose given the specific context and constraints. You are a key contributor to the design of the solution. You develop data visualisation features to generate insights and support data storytelling. You iterate with the business in an agile way to develop, adapt and refine the solution to enable maximum business impact. You design, build, maintain, and troubleshoot the data models integrated into the solutions delivered : 

• Assess the quality of the data; clean and aggregate when necessary
• Compare and choose the right algorithms based on defining the right statistical hypothesis
• Develop and train models
• Follow principles of MLOps when moving models to productions
• Troubleshoot the models in production

Profile Minimum requirements : 

• Must have at least 3 years of prior Data Science experience
• VERY Proficient in Python
• Has a Master's degree in Applied Mathematics, Advanced Statistics, and Data Science or a related discipline
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Ideally Fluent in English

Preferred requirements : 

• Preferred experience in Consulting;
• Preferred experience in Cloud Technologies;
• Good knowledge of Spark;
• Good knowledge of MLOps principles.
  
  

Come join us ! 

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

Securing delivery on your projectsCommunicating your work and achievements among the teamWorking closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needsEnsuring that your solutions are bringing values to the client problematicBeing a good team player, knowing your role and responsibility in the global ambition

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

About the Job

Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter?

With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We're growing our Canadian presence and want you to join us as a technical cornerstone of our founding team in Canada.

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure.

We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe.

Find out more at artefact.com.

What You Will Be Doing

As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements in Canada. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement.

This isn't a role where you hand off findings and walk away. You'll be embedded with clients across Canada's most dynamic sectors — financial services, retail, CPG, telecoms, media, and the public sector — co-owning outcomes and ensuring that the models you build don't just perform in a test environment, they create real, lasting impact in production. You'll also be a technical anchor for our Canadian team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge in this market.

Key responsibilities include:

• Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution
• Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
• Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down
• Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
• Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with
• Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value
• Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the Canadian practice
• Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth

What We Are Looking For

We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline before a critical delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful.

You'll arrive ready with the following:

• 4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment
• Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered
• Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code
• Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization
• Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure)
• Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator
• Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land
• Demonstrated ability to lead technical workstreams and mentor junior team membersBilingualism (English/French) is a significant asset, particularly for client engagement in Quebec and federal government contexts
• Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential
• Familiarity with Canada's data privacy regulatory landscape — PIPEDA, Quebec's Law 25, and sector-specific frameworks in financial services and healthcare — is a meaningful differentiator
• Exposure to marketing analytics, customer analytics, fraud detection, risk modeling, or demand forecasting within Canadian financial services, retail, or CPG is a strong asset

Why You Should Join Us

At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different:

Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across Canada's most dynamic industries and business functions — building the kind of range that makes exceptional data scientists truly exceptional. No two engagements are the same.

Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report.

A global technical community, with local roots. With 2,000 data and AI specialists across 36 offices worldwide, you'll have access to some of the most sophisticated data science thinking on the planet — while building something meaningful right here in Canada. You'll bring global best practices to the Canadian market and contribute Canadian insights back to the world.

Founding team energy. We're building our Canadian practice, which means the standards, culture, and technical identity you help create now will define Artefact in this market for years to come. That's a rare opportunity at any stage of a career.

We are united by our values and strengthened by our hybrid expertise:

There is always a way — We're builders, diggers, and makers. Ideas only count if they get executed.
Client trust is won in the field — We show up where it matters, working side by side with our clients to solve what's real.
If not used, it is useless — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered.
If not shared, our work is not done — Sharing knowledge is how we close the loop — for our clients and for each other.
We learn every day — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival.

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your main responsibilities will include:

Delivering end-to-end AI projects

• Frame use cases with business teams, validate data availability, and define the right approach.
• Design and implement machine learning or generative AI solutions that create measurable business impact.
• Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

• Translate business requirements into robust AI pipelines and architectures.
• Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
• Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

• Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
• Build strong relationships with client stakeholders, from operational teams to managers.
• Act as a go-to expert for technical guidance within projects.

Contributing to team and knowledge development

• Mentor junior data scientists, provide feedback, and support their growth.
• Share best practices through workshops, documentation, and informal training sessions.
• Contribute to internal accelerators and tools to increase delivery efficiency across projects.
• Maintain active technology watch and bring new methods, tools, and frameworks into practice.

Qualifications - What we are looking for

• 3+ years of hands-on experience developing and deploying data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

• Show intellectual curiosity and structured problem-solving.
• Approach challenges with pragmatism and creativity.
• Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.

Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees only on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Who We Are
Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain.

Artefact offers the most comprehensive set of data-driven solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we offer an end-to-end approach and solutions: data strategy, data quality and governance, data platforms, AI Factory, data-driven customer experience and marketing ROI.

Our 2000+ employees operate in 27 countries (Europe, Asia, Americas, Middle East, Africa) and we partner with 1000 clients, including some of the world's top 300 brands such as Samsung, L'Oréal and Sanofi.

What You Will Be Doing:

As a Data Scientist, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include:

• Leading Transformational Projects: Spearheading ambitious projects that utilize data to transform our clients’ operations and strategies.
• Developing Data Science Solutions: Creating innovative data science products and solutions for both clients and our internal data science team.
• Building Client Relationships: Collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships.
• Upskilling the Team: Contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments.
• Ensuring Quality Deliverables: Caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members.
• Optimising Code: Writing highly optimized code to advance Artefact’s internal toolbox and knowledge base.

What You Will Learn With Us:

• Real-World Impact: Deliver impactful projects by developing end-to-end machine learning pipelines to solve real-world problems across various industries.
• Collaborative Solutions: Work in feature teams alongside other data scientists, ML engineers, data engineers, software engineers, and product owners to build complex solutions.
• Software Engineering Improvement: Enhance your software engineering skills by applying ML Ops best practices while working with machine learning teams.
• Expertise Development: Become an expert in one of our data science practices: Time Series Forecasting, MLOps, NLP, Computer Vision, Optimization, or Customer Intelligence.
• Algorithm Discovery: Discover state-of-the-art algorithms and test them on real-world data during client projects.

What We Are Looking For:

We’re seeking someone who has:

• Educational Background: A completed Master’s degree in a relevant field (e.g., computer science, machine learning, mathematics, or related subjects).
• Hands-On Experience:  1-3 years of experience in data science, analytics, or consulting, preferably within a marketing or digital context.
• Technical Skills: Strong knowledge of data processing, algorithms, and data architecture, along with proficiency in tools like Python, SQL, and R.
• Analytical Mindset: A passion for working with data to derive actionable insights and solve complex problems.
• Communication Skills: Excellent verbal and written communication skills, with the ability to discuss both technical and non-technical topics with clients and team members.
• Curiosity and Passion: A genuine interest in continuous learning and exploring new technologies and tools in data and AI.

Why You Should Join Us:

• Learning and Development: Join a team of passionate Data Scientists and Engineers who will support your growth and provide ample learning opportunities.
• Culture of Celebration: We pride ourselves on creating a collaborative and fun work environment with regular team events and activities.
• Competitive Rewards: Enjoy a comprehensive benefits package, including a competitive salary, phone & travel reimbursements, remote work allowance, and a Onefit membership discount.
• Work-Life Balance: We offer flexibility with a hybrid working environment that lets you balance personal and professional commitments.
• Fuel Your Day: Enjoy a healthy and delicious daily lunch from our extensive organic buffet.
• Weekly Unwind: Take advantage of our weekly massage sessions to de-stress and relax.
• Centrally Located: Our office is conveniently situated near the station for easy commuting.
• Career Growth Opportunities: We’re committed to your professional development, offering continuous learning and internal promotion opportunities.

Join Us Now and Be Part of the Future:

Artefact is experiencing exciting growth, and this is the perfect time to join our dynamic team and contribute to our success story.
Come join us!

Who we are

What you will be doing: Key responsibilities

As a Manager Data Scientist, your role will encompass:

• Leading  and conducting ambitious projects in the transformation of clients through data
• Having a contributor role in raising the level of competencies of the data science team
• Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
• Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
• You’ll also participate in international projects. Business travel is something you enjoy!

Among your responsibilities as Senior Data Scientist, you will be responsible for:

Leading data projects

• Managing the resources on your projects to ensure challenges and skills are well match
• Securing delivery on your projects
• Communicating the successes of your projects among the company
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Sharing best practices and contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
• Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
• Experience leading  a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Who are we?

What you will be doing: Key responsibilities

As a Data Director, your role will encompass:

Strategic Leadership and Management

• Lead and expand the data science team, ensuring alignment with the company's strategic objectives.
• Develop and oversee the execution of ambitious data transformation projects, ensuring they meet client needs and business goals.
• Drive collaboration across different divisions—such as Activation, Creativity, and Strategy—to deliver comprehensive, integrated solutions that enhance client satisfaction and service delivery.

Client Engagement and Relationship Management

• Build and maintain senior-level relationships with clients, becoming a trusted advisor for their data strategy and transformation efforts.
• Regularly present insights and strategic recommendations to clients and internal stakeholders, showcasing the value and impact of data-driven decision-making.

Operational Excellence and Innovation

• Ensure the successful delivery of data projects, setting high standards for timeliness and quality.
• Spearhead the adoption of cutting-edge data science and data engineering technologies, methodologies, and practices.
• Promote a culture of continuous improvement and learning within the data science team, encouraging innovation and experimentation.

Team Development and Thought Leadership

• Mentor and develop team members, fostering a collaborative and empowering environment.
• Act as a thought leader in data science, contributing to the broader data science community and enhancing Artefact's reputation in the industry.
• Ensure the team’s technical capabilities align with industry standards and emerging technologies, facilitating ongoing professional development and training.

Qualifications: Education & experience required

• A Master’s or PhD degree in Machine Learning, Mathematics, Computer Science, or a related field.
• Over 8 years of experience in leadership roles within data science, demonstrating a proven track record of managing teams and delivering impactful data-driven solutions.
• Exceptional knowledge of data processing, data modeling, algorithms, and data architecture, with hands-on experience in managing large-scale projects.
• Strong leadership skills, with the ability to inspire, motivate, and guide team members towards achieving business and personal growth goals.
• Excellent communication and interpersonal skills, capable of engaging effectively with all levels of the organization and external clients.

In addition, you have the knowledge in one or more of the following technologies:

• Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
• You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
• Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
• ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
• Web application (R-Shiny, Python Flask) that you have industrialized

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

About Us 

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.  

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.  

We have 2000+  employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. 

About The Role  

Key Responsibilities 

As a Data Scientist Intern, your role will encompass: 

• Apply machine learning algorithm to solve business problem 
• Develop and industrialize AI model with cloud service  
• Conduct quantitative and qualitative analyses of clients’ data to generate actionable insight 
• Securing delivery on your projects 
• Communicating your work and achievements among the team 
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs 
• Ensuring that your solutions are bringing value to the client 
• Being a good team player, knowing your role and responsibility in the global ambition 

What we are looking for 

• Currently pursuing a BA/BS or MA/MS in machine learning, mathematics, computer science, or related fields ( statistics, business analytics, engineering, economics, or a related field) from an accredited college or university. 
• Experience (internship, school project, Junior Enterprise, etc.) in consulting and/or data ecosystem would be a plus. 
• Good understanding of the digital and data ecosystem and its technologies: machine learning, business analytics, data warehouse(lake), programmatic, DataViz and etc.  
• Having knowledge on cloud services (AWS, Azure, GCP, AliCloud) and Martech(CDP, DMP) would be a plus. 
• Intellectual curiosity, along with excellent problem-solving skill, including the ability to disaggregate issues, identify root causes, and recommend solutions 
• With a practical and analytical mindset, you will be passionate about the creation of bespoke solutions for our clients 
• Good Communication skills 
• Ideal candidates should be passionate about using business acumen along with big data and analytics to address real-world problems and drive significant change. 

SH office address : The Roof, Building D, 2nd Floor, No. 458 Madang Road, Huangpu Shanghai 

Our Belief 

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society. 

Our Mission 

We are on a mission to build the next generation of data leaders who:   

Fully capture the power of data & digital to deliver business value;

Bring understanding, trust & transparency of data into our society. 

Our Values 

• Collaboration : People of different background and expertise working closely together; 
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations; 
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data; 
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality. 

Our Unique Attributes 

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ; 
• We build the next generation of data leaders ; 
• We disrupt the market : 
• Data Native - Born with data and defining data ; 
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;  
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run. 

Visit our website at www.artefact.com or follow us on WeChat. 

Who we are

Artefact is a French consulting and engineering firm specializing in data and AI, and a leader in Europe. Headquartered in Paris, we are now present in 23 countries across all continents, with a team of 1,700 employees.

Our mission is to help businesses unlock the full potential of AI and data by developing tailor-made solutions that address their specific industry challenges. As pioneers in this field, we combine technological expertise with operational excellence, working alongside the world’s leading market players. Our clients span all key economic sectors - industry, retail, luxury, consumer goods, healthcare, and finance - and include major international corporations.

Beyond consulting, we are deeply committed to making AI ethical and accessible. We launched the Artefact School of Data to facilitate career transitions into tech roles and established AI Research Centers in Paris and Shanghai.

What you will be doing - Key responsibilities

As a Manager Data Scientist, you will play a central role in the design, delivery and scaling of AI projects for our clients. Reporting to the CTO, your responsibilities will include:

• Leading end-to-end client projects: from framing use cases with business stakeholders to implementing AI solutions that generate measurable impact.
• Ensuring technical excellence: promote software engineering and MLOps best practices to deliver scalable solutions and bring them into production.
• Supporting solution design: challenging business requirements, validating data availability, and selecting the most appropriate methodologies and architectures.
• Being the technical reference for clients: explaining AI approaches in simple terms, providing recommendations on feasibility, risks, and ROI.
• Developing trusted client relationships: interacting with C-level and operational teams to position Artefact as a long-term partner on their Data & AI journey.

Beyond these core responsibilities, you will also be involved in:

Managing the country’s data science team

• Support team staffing, ensuring the right skills are applied to meet project needs.
• Ensure each individual’s continuous well-being within the team, supporting their growth through mentoring, coaching, and career development plans.
• Help define the team’s career framework and participate in performance review processes.
• Challenge existing ways of working and drive innovation to continuously improve Artefact’s data science team.

Developing Artefact’s technical expertise

• Contribute to testing and implementing advanced AI approaches and emerging techniques on client use cases.
• Drive initiatives to build internal accelerators, such as modules and tools that can be reused across projects.
• Maintain an active technology watch: evaluate emerging tools, frameworks, and cloud services to assess how they can address client needs.
• Share knowledge through workshops, informal training sessions, and documentation, fostering a culture of continuous learning.

Being a great tech manager

• Lead by example: demonstrate technical rigor, pragmatic problem-solving, and the ability to step in directly on projects when the team needs support.
• Provide constructive feedback to help data scientists in your team progress in both technical and consulting dimensions.
• Anticipate risks and unblock teams, ensuring projects stay on track.
• Balance ambition and feasibility: critically assess approaches, driving innovation while ensuring solutions stay realistic to deliver.
• Foster collaboration between data scientists, data engineers, and business teams to ensure solutions are effectively integrated and adopted.

Qualifications - What we are looking for

• 5+ years of hands-on experience developing data-driven solutions.
• Strong knowledge in applied machine learning and generative AI.
• Solid understanding of software engineering and MLOps best practices.
• Experience with industrializing AI workflows in cloud environments.

In addition to technical expertise, we value individuals who can:

• Lead teams, manage stakeholders, and deliver impactful projects in a business context.
• Show intellectual curiosity and excellent problem-solving skills.
• Tackle challenges with pragmatism and creativity.
• Support growth, mentoring juniors and constructively challenging seniors.
• Earn trust from both peers and business stakeholders.

 Our recruitment process

1. HR call 
2. Standard Interview 
3. Technical Interview 
4. Fit Interview

At Artefact, we recruit our employees solely on the basis of our needs and the individual qualities of each candidate. We ensure the development of their professional skills and responsibilities without discrimination of any kind, including belief, gender, age, disability, ethnic origin, sexual orientation, membership of a political organization, religion, trade union or minority group.

Join Artefact Belgium: Shape the Future of Generative AI and Large Language Models (LLMs)

Are you an early-career professional excited to harness the power of generative AI and Large Language Models (LLMs)? Artefact Belgium is seeking a Data Scientist - Gen AI to join our innovative team in Brussels. Our Belgian team specializes in LLM and GenAI projects, and this is your chance to work on cutting-edge solutions, collaborate with top-tier experts, and contribute to impactful projects in a dynamic, forward-thinking environment.

Who You Are

A recent graduate or professional with 1 to 3 years of experience, with hands-on experience working with LLMs and a passion for generative AI and NLP. Motivated to apply your technical expertise to real-world challenges in AI. Able to thrive in collaborative settings while independently driving your own workstreams. Eager to learn, grow, and push the boundaries of what's possible in AI innovation.

Who We Are

Artefact is a leading Data & AI consulting firm operating at the forefront of AI innovation. With a global presence, we help clients across industries—public health, manufacturing, etc. —leverage generative AI to achieve transformative outcomes. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. At Artefact, we foster a culture of innovation, collaboration, and continuous learning, with a strong commitment to inclusivity and employee growth.

What You Will Do

• Collaborate with the team to design, train, and fine-tune state-of-the-art models for client projects and internal tools. 
• Develop and integrate agentic AI solutions using tool calling, and emerging protocols like Model Context Protocol (MCP) to create autonomous, context-aware applications.
• Research and implement innovative generative AI applications to solve complex business problems. 
• Design and implement comprehensive evaluation frameworks to measure LLM performance, establishing quality metrics and benchmarks that guide development decisions and ensure reliable, production-ready solutions.
• Optimize the performance, scalability, and usability of LLM-powered products and tools. 
• Contribute to the deployment and maintenance of AI systems, including models, APIs, and supporting infrastructure. 
• Participate in technical discussions and brainstorming sessions to shape impactful solutions.

What You Bring

• A degree in computer science, mathematics, engineering, physics, or a related field. 
• Experience working with LLMs, generative AI, or advanced NLP applications (e.g., fine-tuning models, using frameworks like Hugging Face or OpenAI).
•  Strong programming skills in Python and familiarity with AI and NLP libraries.
•  Analytical and problem-solving capabilities, with an ability to address real-world challenges through AI. 
• Good communication skills in English, Dutch or French; additional languages are a plus. 
• A growth mindset, adaptability, and eagerness to work in a fast-paced, cutting-edge environment.

What We Offer

• A competitive salary with benefits tailored for early-career professionals. 
• Hands-on experience with state-of-the-art LLM technologies in impactful projects. 
• A dynamic and supportive work environment that fosters creativity and professional development.
• Resources for ongoing training, certification, and skill-building in generative AI and related fields. 
• A collaborative, inclusive workplace with access to global expertise through Artefact's network.

This position is based in Brussels.

Don't worry if you don't meet every criterion! We value passion, potential, and a commitment to innovation. If you're excited about generative AI and ready to grow your career, we'd love to hear from you!

About us:

Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.
• Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.
• Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.
• Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.
• Evaluate and select appropriate statistical and machine learning techniques based on business context, constraints, and data availability.
• Create clear and compelling data visualizations and dashboards to support data storytelling and decision making.
• Collaborate with cross functional partners in an agile environment and iterate on solutions to maximize business impact.

What we are looking for 

• The ideal candidate has a substantial quantitative skill set with 5+ years of relevant experience. 
• Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field.
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Proficient in Python (preferred) and/or R

Preferred: 

• Financial sector experience. 
• Preference in Causal Inference topics, Time Series, Advanced Statistics
• Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform

Why you should join us

• We are united by our values and strengthened by our hybrid expertise.
• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

About us:

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About the role:

As a Data Scientist, your role will encompass:

• Conducting ambitious projects in the transformation of clients through data
• Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
• Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department

Among your responsibilities as a Data Scientist, you will be responsible for:

Performing data projects

• Securing delivery on your projects
• Communicating your work and achievements among the team
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Ensuring that your solutions are bringing values to the client problematic
• Being a good team player, knowing your role and responsibility in the global ambition

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
• Strong knowledge of data processing, data modeling, algorithms, and data architecture
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

About the job

Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

• Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.
• Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.
• Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.
• Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.
• Evaluate and select appropriate statistical and machine learning techniques based on business context, constraints, and data availability.
• Create clear and compelling data visualizations and dashboards to support data storytelling and decision making.
• Collaborate with cross functional partners in an agile environment and iterate on solutions to maximize business impact.

What we are looking for 

• The ideal candidate has a substantial quantitative skill set with 5+ years of relevant experience. 
• Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field.
• Excellent interpersonal and communication skills
• Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
• Proficient in Python (preferred) and/or R

Preferred: 

• Financial sector experience. 
• Preference in Causal Inference topics, Time Series, Advanced Statistics
• Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform

Why you should join us

• We are united by our values and strengthened by our hybrid expertise.
• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Who we are

What you will be doing: Key responsibilities

As a Junior Data Scientist, your role will encompass:

• Leading  and conducting ambitious projects in the transformation of clients through data
• Having a contributor role in raising the level of competencies of the data science team
• Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients
• Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department
• You’ll also participate in international projects. Business travel is something you enjoy!

Among your responsibilities as Senior Data Scientist, you will be responsible for:

Leading data projects

• Managing the resources on your projects to ensure challenges and skills are well match
• Securing delivery on your projects
• Communicating the successes of your projects among the company
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs
• Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Sharing best practices and contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• A Master’s degree in machine learning, mathematics, computer science, or related fields
• 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)
• Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture
• Experience leading  a technical project in a business context
• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

What we are looking for

• A Doer: you get things done and inspire your teams to do the same
• An Analyst: you LOVE data and think every company should take their decisions with facts
• A Pragmatist: you have a hacker mindset and always find the quick wins
• A Mentor: your clients and teams naturally seek for advice
• An Adventurer: you’re an entrepreneur constantly looking for problems to solve

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

tl;dr

• You like to be up to the collection, analyse, and visualisation of data in a business context.
• Our working language is in English, but it's always easier when you speak the local language(s) ;)

The team

The DS team is a melting pot of around 100 Data Scientists with various backgrounds, previous experience and affinities. Some have been here since their graduations, others did work in startups, consulting firms or other companies before. Some had an engineering background from the start, others did first a business major before specializing in Data Science. Some studied statistics, others engineering systems.

Every day is an opportunity to excel, to learn more and to face new challenges. Thanks to a tailor-made skills development program, you will be able to become a Swiss Army knife in data, all while developing very precise skills in our different expertise.

Mission

You design and deliver data solutions to and with our clients, which means developing data preparation pipelines, training algorithms, deploying them in infrastructures, and interacting with clients.

You contribute to Artefact's internal and knowledge growth as well, by working on internal projects, recruitment interviews, coaching juniors, animations of knowledge-sharing events.

Desirable skills

• If you are an aspiring data and machine learning expert, or if you are already there;

• If you want to understand our clients' businesses: you are a problem solver, curious, open-minded, and willing to discover the subtleties of different sectors;

• If you embrace the One-Team spirit;

  ... contact us!

Why should you join us

• Artefact is the place to be: come and build the future of data and marketing
• Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone.
• Action: We make things rather than telling people how to make them.
• Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other.

Come join us!

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?

As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass:

• Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
• Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
• Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
• Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.

What we are looking for?

• Proficiency in Python, SQL, data science modeling, and statistical analysis.
• Strong grasp of ML algorithms and their implementation in real-world scenarios.
• Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics and Communication Engineering degrees.

Offre d'emploi Senior Data Scientist - Artefact Côte d'Ivoire

Nous recherchons notre futur(e) Senior Data Scientist pour rejoindre l'équipe d'Abidjan et contribuer à des projets data concrets, à forte valeur ajoutée, pour des clients locaux et internationaux.

Qui sommes-nous ? 

Artefact est un cabinet de conseil nouvelle génération, entièrement dédié à la data et à la transformation AI. Avec plus de 2000 talents présents dans 24 pays, nous aidons les organisations à activer pleinement la puissance de leurs données pour accélérer leur performance.

Notre métier ? Transformer la donnée en impact business mesurable.

Nous intervenons sur toute la chaîne de valeur data dont :

• Automatisation des processus critiques grâce à l'IA
• Optimisation et personnalisation des expériences clients
• Stratégie data & marketing digital
• Pilotage média, measurement & analytics avancés
• Construction et déploiement de solutions data robustes et scalables

Notre expertise s'appuie sur plus de 1000 clients accompagnés dans le monde dont AccorHotels, Orange, Carrefour, Engie, Emirates, Deutsche Telekom, Monoprix…

Pour accompagner cette croissance, notre bureau d'Abidjan est à la recherche d'un(e) Senior Data Scientist pour apporter son énergie, son regard analytique et sa curiosité à nos projets en Afrique de l'Ouest.

Notre Mission

Chez ARTEFACT-CI, notre mission est de transformer les organisations de la sous-région en champions de l'IA en exploitant la pleine valeur de leurs données. Nous croyons en la force d'une approche unique qui allie expertise business, technologie de pointe et éthique dans l'usage de l'IA. Nous nous efforçons de créer un environnement où l'apprentissage continu, l'initiative et le partage de connaissances sont les moteurs de la réussite collective.

Ton rôle en notre sein :

En tant que Senior Data Scientist, tu joueras un rôle central dans la conception et la livraison de nos projets analytiques et prédictifs (churn, scoring, segmentation, séries temporelles, NLP…). Tes responsabilités incluront :

• Concevoir et développer des modèles de Machine Learning robustes et adaptés aux enjeux métiers de nos clients.
• Mener des analyses exploratoires approfondies pour identifier des opportunités à fort impact business.
• Assurer le feature engineering et la sélection des variables les plus prédictives en lien avec les Data Engineers.
• Contribuer à la mise en production des modèles via des pipelines MLOps fiables et reproductibles.
• Encadrer et faire monter en compétences les profils juniors de l'équipe Data Science.
• Vulgariser les résultats complexes et les traduire en recommandations actionnables pour les directions métiers.
• Participer aux phases avant-vente et au cadrage technique des projets clients.
• Assurer une veille active sur les nouvelles approches statistiques, ML et IA applicables à nos contextes.

Pour montrer que tu as lu cette offre attentivement, merci d'inclure le mot "curiosité" dans ta lettre de motivation.

Le profil que nous recherchons

• Diplôme Bac+5 en Data Science, Mathématiques appliquées, Statistiques ou Informatique.
• Minimum 3 à 5 ans d'expérience en Data Science, dont au moins 1 à 2 ans dans un rôle de lead technique ou de coordination de projet.
• Maîtrise de Python et des librairies clés : scikit-learn, pandas, NumPy, XGBoost, LightGBM, TensorFlow/PyTorch.
• Expérience en industrialisation de modèles : MLflow, Docker, Git, pipelines CI/CD.
• Solides bases en statistiques : tests d'hypothèses, inférence bayésienne, modélisation des séries temporelles.
• SQL avancé et connaissance des entrepôts de données (BigQuery, Snowflake…).
• Aisance à communiquer des résultats techniques à des interlocuteurs non techniques.

Pourquoi nous rejoindre ?

Rejoindre Artefact Côte d'Ivoire, c'est bien plus qu'un emploi :

• Participer au développement d'une entreprise Data & AI en pleine expansion en Afrique.
• Travailler sur des projets innovants : modèles prédictifs avancés, NLP, recommandation, séries temporelles.
• Évoluer dans un environnement international, agile et exigeant.
• Collaborer avec des experts reconnus dans l'écosystème Data/AI mondial.
• Contribuer à un vrai impact business chez des clients variés : finance, télécoms, grande distribution, énergie…

Ce que nous offrons :

• Un contrat à durée indéterminée, basé à Abidjan
• Des missions à impact pour des clients prestigieux
• Accès privilégié à nos parcours d'apprentissage : MOOC, sessions internes, formations techniques, shadowing…
• Des repas de midi offerts

Notre Processus de Recrutement :

• Premier contact par téléphone/visio : On discute de ton parcours, de tes projets et de ce qui te motive
• Challenge technique : Un cas pratique de modélisation pour voir comment tu abordes les problèmes
• Entretien Manager & Rencontre avec l'équipe : Tu rencontres ton futur manager et des membres de l'équipe pour voir si le courant passe
• Proposition : Envoi de l'offre

📩 Envie de rejoindre l'aventure ? Clique sur postuler !

PS : On recrute des talents, sois toi-même et montre-nous ce qui te rend unique !

Who we are

• Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung.
• Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts.
• Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients.

What you will be doing

As a Senior Data Scientist in our London office, your role will encompass:

• Designing and implementing advanced data science and machine learning solutions to solve complex business problems.
• Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees.
• Supervising and mentoring team members on code, deployment, and best practices.
• Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles.

Qualifications

Necessary education and experience

• Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
• Project & Team Leadership: Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders.
• Advanced Modelling: Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference.
• ML-Ops & Orchestration: Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines.
• Programming & Data Engineering: Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces.
• Cloud & DevOps: Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB), and infrastructure-as-code (Terraform). Solid understanding of CI/CD for testing and containerisation.

Desirable experience

• Advanced Education: A Master's degree or PhD in a relevant field is a strong plus.
• Parallelisation & Performance: Experience with parallelisation frameworks like Pyspark or Ray.
• Advanced Cloud & Infrastructure: Familiarity with serverless deployments (e.g., Fargate, Lambdas), infrastructure automation with Terratest or Ansible.

Please send your CV to hr-uk@artefact.com

Join Effixis, an Artefact Company: Shape the Future of Generative AI and Large Language Models (LLMs)

Are you passionate about generative AI and excited by the potential of Large Language Models ? Effixis, an Artefact company, is seeking an LLM Engineer Intern to join our innovative team. If you've already explored the world of LLMs or have a strong interest in generative AI, this is your chance to contribute to cutting-edge projects and gain hands-on experience in a dynamic, forward-thinking environment.

Who You Are

• A student or recent graduate with experience experimenting with LLMs or a strong interest in generative AI and NLP.
• Enthusiastic about applying theoretical knowledge to real-world challenges in AI.
• Able to thrive in both collaborative and independent projects.
• Eager to learn, adapt, and grow in a fast-paced, innovative setting.

Who We Are

Effixis is part of the Artefact Group, a leading Data & AI consulting firm operating at the forefront of NLP and LLM-driven innovation. With offices worldwide, we help clients across industries, including public health, manufacturing, and media, harness the power of generative AI. At Artefact, we value innovation, collaboration, and continuous learning, and we are committed to fostering an inclusive and supportive workplace.

What You Will Do

• Collaborate with our data science team to experiment with LLMs and explore innovative generative AI use cases.
• Contribute to the development and optimization of NLP and LLM-powered tools and products.
• Assist in deploying and maintaining AI systems, including models, APIs, and related infrastructure.
• Participate in brainstorming sessions and technical decision-making to shape cutting-edge solutions.

What You Bring

• Hands-on experience with LLMs or a strong interest in generative AI.
• Currently pursuing or holding a degree in computer science, mathematics, physics, or a related field.
• Familiarity with Python and a willingness to learn NLP and AI frameworks (e.g., Hugging Face, OpenAI, Cohere).
• Strong analytical and problem-solving skills.
• Good communication skills in English or French (other languages are a plus).

What We Offer

• Competitive internship compensation.
• A chance to work with state-of-the-art LLM technology and contribute to groundbreaking projects.
• A dynamic, supportive work environment that values creativity and professional growth.
• Dedicated resources for training and development.

This position is based in Brussels.

Don’t worry if you don’t meet all the criteria! We value motivation and potential above all else. We’d love to hear from you and learn more about your passion for generative AI.