Data Scientist Jobs in Portugal.
All active Data Scientist roles based in Portugal.
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Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us!
Your Day to Day:
- Understanding the data which our clients provide to us;
- Cleaning that data and validating that it is correct;
- Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc
- Iteratively computing features and tuning parameters to improve the quality of the model;
- Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project;
- Work together with key stakeholders (data scientists, engineers, risk managers) from our clients;
- Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.
You Have & You Know-how:
- MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field;
- Proficient in Machine Learning (training and testing, avoiding overfit, etc.);
- Knowledge of Big Data technologies such as Spark, Hadoop and related;
- Proficiency in bash, Python and either Java or Scala;
- Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);
- Knowledge of statistics or data visualization is a plus;
- Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;
- Knowledge of Deep Learning algorithms is a plus;
- Ability to communicate your findings in a clear way.
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!
#LI-remote #LI-BR1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Principal Data Scientist
Share this job
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms.
As a Principal Data Scientist your main responsibilities will be
- Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms.
- Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production.
- Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
- Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry.
- Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
- Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome.
What you’ll bring
- 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
- PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
- A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step.
- Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production.
- Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.
- Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models.
- Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.
We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.
Kaizen Gaming Perks
- 🕑 Hybrid model of working;
- 🏃 A buddy will support you with your onboarding;
- 💸 Competitive salary package and bonus scheme;
- 👩⚕️ Health and life insurance for you and your family;
- 💰 Monthly meal allowance
- ⭐ Developmental 360° feedback framework;
- 📚 Unlimited access to Udemy & continuous training
- 👨👩👧👦 Family Support.
- #Li-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist (GenAI)
Share this job
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
As a GenAI Senior Data Scientist, you will be at the forefront of our AI developments, analyzing data, building Gen AI powered applications and/or agentic architectures. You will be responsible for selecting the right LLMs, performing prompt engineering and model fine-tuning to support our AI products. You will collaborate closely with cross-functional tech teams to deliver impactful, production-grade AI solutions. The ideal candidate has a deep understanding of LLMs and agentic architectures, along with proven experience building and deploying such applications in production environments.
As a GenAI Senior Data Scientist you will:
- Translate product requirements to AI problems and identify areas where AI can drive the most business impact;
- Analyze data to uncover significant patterns and generate actionable insights;
- Architect agentic and GenAI systems;
- Select appropriate models for the right tasks and tune their performance;
- Perform exploratory data analysis (EDA and feature engineering to support the modeling process;
- Apply best practices on model selection, parameter tuning etc.;
- Run comparative experiments for model training;
- Analyze ML metrics to evaluate different potential solutions;
- Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production;
- Mentor and guide junior members, sharing knowledge and leading complex projects.
What you’ll bring:
Must have:
- Hands on experience with GenAI and Agentic applications;
- Extensive hands-on experience in delivering AI driven products to production;
- Experience in scaling and optimisation of AI applications;
- Knowledge of machine learning algorithm and respective theory;
- Knowledge of the Python machine learning ecosystem and solid software background in OOP;
- Strong skills in teamwork, communication, and analytical thinking;
- Fluency in English, both oral and written.
Nice to have:
- Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
- Previous experience in LLM fineturing;
- Previous experience with LLM serving;
- Knowledge of Deep learning.
Kaizen Gaming Perks
- 🕑 Hybrid way of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive pay & bonus scheme
- ⭐Developmental 360° feedback framework
- 💰 Monthly meal allowance
- 👩⚕️ Private health insurance for you and your family
- 📚 Unlimited access to Udemy & continuous training
- 👨👩👧👦 Family Support.
- #LI-Hybrid
- #LI-ap1
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist
Share this job
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
At Kaizen, our aim is to make data driven decisions in order to automate our servicers while also focusing on offering tailored customer experiences. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity.
Our teams comprise of three different roles, data scientists, machine learning engineer and data engineers so that they include the full skillset to deliver projects to production.
We are currently looking for data scientists in all levels to join our teams. The role should combine strong knowledge of machine learning algorithms, analytical skills, experimental design etc. to support the model development process.
- Translate business requirements to machine learning problems;
- Perform EDA and feature engineering;
- Run comparative experiments for model training;
- Implement best practices on model selection, parameter tuning etc.
What you’ll bring
- A background in Computer Science, Statistics, Math or related field;
- Strong knowledge of machine learning algorithm and respective theory;
- 2-8 years of hands-on experience in delivering machine learning models to production;
- Knowledge of the Python machine learning ecosystem;
- Experience with Spark (PySpark);
- Solid software background in OOP;
- Strong skills in teamwork, communication, and analytical thinking;
- Fluency in English, both oral and written.
Nice to have
- Experience with Azure / Databricks;
- Knowledge of Deep learning;
- Experience in recommendation systems.
#Artificial Intelligence (AI) #Machine Learning (ML) #Data Science (DS)
Kaizen Gaming Perks
- 🕑 Hybrid way of working
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive pay & bonus scheme
- ⭐Developmental 360° feedback framework
- 💰 Monthly meal allowance
- 👩⚕️ Private health insurance for you and your family
- 📚 Unlimited access to Udemy & continuous training
- 👨👩👧👦 Family Support.
- #LI-Remote
- #LI-PROMOTE
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Senior Data Scientist
Share this job
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
Let's start with the role
As a Senior Data Scientist, you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production.
As a Senior Data Scientist you will:
- Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
- Analyze data to identify significant patterns and generate actionable insights;
- Perform exploratory data analysis EDA and feature engineering to support the modeling process;
- Apply best practices on model selection, parameter tuning etc.;
- Run comparative experiments for model training;
- Analyze ML metrics to evaluate different potential solutions;
- Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
- Mentor and guide junior members, sharing knowledge and leading complex projects.
What you’ll bring:
Must have:
- Expert knowledge of machine learning algorithm and respective theory;
- Extensive hands-on experience in delivering machine learning models to production;
- Experience in developing MLOps solutions;
- Knowledge of the Python machine learning ecosystem and solid software background in OOP;
- Knowledge of Deep learning;
- Strong skills in teamwork, communication, and analytical thinking;
- Fluency in English, both oral and written.
Nice to have:
- Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
- Experience in recommendation systems;
- Experience in GenAI application development;
- Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.
Kaizen Gaming Perks
- 🕑 Hybrid way of working & remote options
- 🏃 A buddy will support you with your onboarding
- 💸 Competitive pay and bonus scheme
- 👩⚕️ Private health insurance for you and your family
- 💰 Monthly meal allowance
- ⭐Developmental 360° feedback framework
- 📚 Unlimited access to Udemy & continuous training
#LI-Remote
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Customer Success Engineering team works directly with clients to ensure that every technical aspect of our product—installation, configuration, and customization—is delivered smoothly and at the highest standard. We act as technical consultants, helping clients solve complex and unique challenges. Our team is dynamic, persistent, and committed to delivering a world-class experience. If you’re excited about being a client-facing engineer who makes a real impact, this is the opportunity for you.
You:
As a Senior Software Engineer in the Customer Success Department, you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka). While working with these technologies, you will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.
Your Day to Day:
- Execute full software development life cycle, including building integrations and enhancements to Feedzai core product;
- Write well-designed, testable code;
- Integrate multiple software components into a fully functional software system;
- Troubleshoot, debug and upgrade existing systems;
- Deploy and support systems in production;
- Comply with best practices and industry standards;
- Work with Agile principles to regularly deliver quality products;
- Ensure proper feature deployment or product upgrades;
- Provide Second Tier support for clients that are live;
- Mentor, coach and inspire other members of the team, helping to foster software development best practices.
You Have & You Know-how:
- A Bachelor of Science and or a Master of Science in Computer Science, a degree in a comparable field, or equivalent work experience;
- 4 + years of extensive work experience in Java software development;
- Thread and JVM Memory Management in high-performance systems;
- Client engagement experience and ability to act as a consultant to our clients;
- Excellent English communication skills, both verbal and written;
- Experience with Zookeeper, RabbitMQ, Cassandra, Ansible, Docker, Databases (nice to have).
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join us!
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
We are always looking for talented Software Engineers to join our team. This is an evergreen role, meaning we hire for this role continuously across multiple seniority levels and for various teams. Applying here ensures you are considered as new positions open. The timeline and specific team-matching may vary; an opening could be immediate, or we may find a great fit for you on a team in the coming weeks. We will be transparent about timelines throughout the process.
You:
Feedzai sells and implements one the the world's leading Fraud Risk Scoring systems. We work with some of the largest banks and financial firms to help protect them from transaction fraud, money laundering, and account takeover.
As a Software Engineer in the Customer Success organisation you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka). The software engineer while working with these technologies will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.
Your Day to Day:
- Execute full software development life cycle building integrations and enhancements to Feedzai core product;
- Write well-designed, testable code;
- Integrate multiple software components into a fully functional software system;
- Troubleshoot, debug and upgrade existing systems;
- Deploy and support systems in production;
- Comply with best practices and industry standards;
- Work with Agile principles to regularly deliver quality products;
- Ensure proper feature deployment or product upgrades;
- Provide Second Tier support for clients that are live;
You Have & You Know-how:
- A BS or MS in computer science, or a comparable field, or equivalent experience;
- Experience in Java software development or other modern language;
- Experience with SQL or NoSQL databases;
- Experience with Cloud technologies (AWS, Azure, GCP)
- Client engagement experience and ability to work with a client in a consultative manner;
- Excellent English communication skills, both verbal and written;
- Availability to travel up to 15%;
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential.
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Customer Success Engineering team works directly with clients to ensure that every technical aspect of our product—installation, configuration, and customization—is delivered smoothly and at the highest standard. We act as technical consultants, helping clients solve complex and unique challenges. Our team is dynamic, persistent, and committed to delivering a world-class experience. If you’re excited about being a client-facing engineer who makes a real impact, this is the opportunity for you.
You:
Feedzai sells and implements one the the world's leading Fraud Risk Scoring systems. We work with some of the largest banks and financial firms to help protect them from transaction fraud, money laundering, and account takeover.
As a Software Engineer in the Customer Success organisation you will be responsible for making sure our products are installed and meet our clients requirements with integration and performance management. You will work with a broad range of technologies including multiple flavours of SQL, NoSQL database, on-premise environments, Cloud environments (AWS, Azure, Google), along with multiple streaming or messaging systems (RabbitMQ, Kafka). The software engineer while working with these technologies will help with installation and configuration of our solutions, but will also develop custom Java inbound and outbound interfaces, use web services to enhance data in process and will develop custom extensions and modules for our Fraud Analysis platform. You will work as part of a project team alongside Data Scientist, Project Managers, Fraud Analysts and your peers to meet with the client, understand their needs, turn those needs into requirements and execute on those requirements.
Your Day to Day:
- Execute full software development life cycle building integrations and enhancements to Feedzai core product;
- Write well-designed, testable code;
- Integrate multiple software components into a fully functional software system;
- Troubleshoot, debug and upgrade existing systems;
- Deploy and support systems in production;
- Comply with best practices and industry standards;
- Work with Agile principles to regularly deliver quality products;
- Ensure proper feature deployment or product upgrades;
- Provide Second Tier support for clients that are live;
You Have & You Know-how:
- A BS or MS in computer science, or a comparable field, or equivalent experience;
- 2y+ experience in Java software development or other modern language;
- Experience with SQL or NoSQL databases;
- Client engagement experience and ability to work with a client in a consultative manner;
- Excellent English communication skills, both verbal and written;
- Availability to travel up to 15%;
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join us!
#LI-Remote #LI-JB1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
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Senior Data Scientist
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We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.
Role Summary
As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.
Key Responsibilities
- Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
- Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
- Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
- Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
- Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
- Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
- Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.
Required Qualifications
- MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
- 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
- Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
- Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
- Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
- Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
- Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.
Preferred Qualifications
- Experience delivering machine learning solutions and integrating into data pipelines.
- Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
- Experience working with or evaluating multi-agent systems or complex GenAI workflows.
What Success Looks Like
- In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
- In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
- In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.
About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.
What’s in it for you?
- Equity as we want you to have a part of what we are building
- Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
- Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development
About us:
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
Ready to apply?
Apply to ComplyAdvantage
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of GTM Data and act as a strategic thought partner to Go-to-Market teams, Marketing, Product, Finance, Design, Engineering, and executive leadership, ensuring alignment between data insights and critical business decisions.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture:
- We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
- Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Ready to apply?
Apply to PandaDoc
Data Scientist
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Role Summary
As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.
Key Responsibilities
- Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
- Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
- Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
- Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
- Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
- Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
- Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
- Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
- Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.
Required Qualifications
- MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
- 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
- Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
- Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
- Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
- Ability to communicate complex technical concepts effectively to a variety of stakeholders.
- Strong passion for data and solving challenging real-world problems using algorithms.
Preferred Qualifications
- Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
- Exposure to Big Data platforms such as Spark.
- Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
- Experience working with or evaluating multi-agent systems or complex AI workflows.
What Success Looks Like
- In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
- In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
- In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.
About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.
What’s in it for you?
- Equity as we want you to have a part of what we are building
- Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
- Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development
About us:
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
Ready to apply?
Apply to ComplyAdvantage
Senior Data Scientist, Fraud Prevention
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About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
The role
Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.
As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.
You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.
What you'll do
- Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
- Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
- Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
- Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
- Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.
What excites you
- Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
- End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
- Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
- Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
- Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.
What excites us
- You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
- You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
- You have a track record of deploying models in production that create measurable value.
- You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
- You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
Apply to GoCardless
Senior Data Scientist, Payment Intelligence
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About us
At GoCardless we believe bank payments are the best way to pay and get paid. We also believe that bank account data is a powerful tool to make better, faster decisions. We’re making it easy to use both- for businesses everywhere.
GoCardless is used for domestic and international payments by 75,000+ organisations and counting, processing more than $30 billion across 30 countries. We’re an award-winning London based fintech, with additional offices in Riga, Paris, Melbourne and New York.
And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!
The role
Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.
As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.
At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.
What you’ll do
- Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
- Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
- Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
- Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.
What excites you
- Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
- An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
- Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
- Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.
What excites us
- You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
- You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
- You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
- You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
- You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical coverWork away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Equity - all permanently employed GCs get equity to help you make a valuable contribution
- Parental leave - to suit everyone embarking on life's great adventureLearning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Diversity & Inclusion
We’re building the bank payment network of the future and our ambition is to move money anywhere, for anything, for anyone. If we’re going to achieve this goal, we need to build a team of ‘GeeCee’s’ that is as wonderfully diverse as the world we live in - with a multitude of perspectives, experiences & backgrounds.
We’ve got a long way to go, but here’s how we’re doing as of June 2022;
Female Employees - 46%
Ethnic background - 32%
Identify as LGBTQIA - 10%
Neurodivergent - 9%
We’re rooting for you during your application and GoCardless aims to provide reasonable adjustments to make our recruitment process as remarkable and accessible as we can. Please speak to your Talent Partner if you need extra support.
If you want to learn more, you can read about our Employee Resource Groups and objectives here as well as our latest D&I Report
Sustainability
We’re committed to reducing our impact on the environment, leaving a more sustainable world for future generations. In 2021 we became co-founders of the Tech Zero coalition, a group of businesses committed to taking climate action as part of the UNFCCC Race to Zero. We aim to reduce our impact and to create positive change on the natural world. Check out our sustainability action plan here.
Find out more about Life at GoCardless via Twitter, Instagram and LinkedIn.
Ready to apply?
Apply to GoCardless
The Opportunity
As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.
You will report to the Director of Product Data and act as a strategic thought partner to Product, Finance, Design, Engineering, Product Marketing, and executive leadership, ensuring alignment between data insights and critical business decisions.
What You'll Do
Experimentation & Causal Strategy
- Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
- Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
- Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
- Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
- Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.
Technical Leadership & Influence
- Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
- Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
- Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.
About You
Qualifications
- Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
- Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.
Required Technical Expertise
- Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
- Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
- Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
- Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
- Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
- Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.
Key Attributes
- Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
- Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
- Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
- Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.
Company Culture:
- We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
- Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
- Check out our LinkedIn to learn more.
Benefits:
- Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.
Ready to apply?
Apply to PandaDoc
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.
Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.
- Taking ownership and driving impact
- Being open to change and feedback
- Being passionate about our mission and our customers.
With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.
We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.
You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.
In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s commercial strategy and influencing our stakeholders.
What You’ll Do
- Own analytics for a commercial area – At Catawiki, you’ll take full ownership of a major part of the commercial strategy. This could mean leading analytics for all demand scaling initiatives in marketing or everything related to increasing supply in a given category. You’ll build strong partnerships with stakeholders and proactively come up with recommendations to drive revenue growth.
- Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape commercial decisions, flag opportunities, and drive the strategy forward.
- Drive advanced analytics at scale – You’ll use methods like regression analysis, causal inference, and scenario testing to understand buyer and seller needs and help commercial teams make faster, better decisions to scale demand and supply.
Who You Are
- Commercially minded data leader – You have a strong quantitative background and 3+ years of experience in Data Science or Analytics, ideally in an online company. You’re comfortable owning complex projects and influencing stakeholders with clear, pragmatic recommendations focused on commercial impact and value.
- Advanced technical skills – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
- Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
- Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
- Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.
Where You’ll Be
This role is a hybrid role based in our Amsterdam or Lisbon office.
Why You'll Love Working with Us
- Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
- Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
- A culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
- Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Interested?
Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.
Ready to apply?
Apply to Catawiki
About DataCamp
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.
About the role:
DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.
You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.
We’re excited about you because you have the following:
- You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
- Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.)
- You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies.
- You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.
If that sounds like you, we’d love to meet you.
We’re even more excited about you if you have the following:
- Strong data engineering and/or cloud expertise.
- Previous experience as a data scientist, developer, or technical expert.
- Demonstrable experience delivering meaningful organic growth via editorial content.
- Knowledge of SEO best practices and how they are evolving.
Responsibilities:
This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:
- Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
- Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners.
- Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
- Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
- Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
- Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.
Why Datacamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:
- Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
- Competitive Compensation – We offer a competitive salary with attractive benefits.
- Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
- Professional Growth – Access to a yearly learning & development budget.
- Global Culture – Join a team that values international collaboration and retreats.
- Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.
Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!
Ready to apply?
Apply to DataCamp
About DataCamp
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.
About the role:
DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.
You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.
We’re excited about you because you have the following:
- You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
- Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.)
- You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies.
- You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.
If that sounds like you, we’d love to meet you.
We’re even more excited about you if you have the following:
- Strong data engineering and/or cloud expertise.
- Previous experience as a data scientist, developer, or technical expert.
- Demonstrable experience delivering meaningful organic growth via editorial content.
- Knowledge of SEO best practices and how they are evolving.
Responsibilities:
This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:
- Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
- Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners.
- Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
- Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
- Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
- Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.
Why Datacamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:
- Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
- Competitive Compensation – We offer a competitive salary with attractive benefits.
- Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
- Professional Growth – Access to a yearly learning & development budget.
- Global Culture – Join a team that values international collaboration and retreats.
- Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.
Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!
Ready to apply?
Apply to DataCamp
About DataCamp
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.
About the role:
DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.
You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.
We’re excited about you because you have the following:
- You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
- Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.)
- You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies.
- You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.
If that sounds like you, we’d love to meet you.
We’re even more excited about you if you have the following:
- Strong data engineering and/or cloud expertise.
- Previous experience as a data scientist, developer, or technical expert.
- Demonstrable experience delivering meaningful organic growth via editorial content.
- Knowledge of SEO best practices and how they are evolving.
Responsibilities:
This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:
- Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
- Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners.
- Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
- Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
- Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
- Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.
Why Datacamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:
- Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
- Competitive Compensation – We offer a competitive salary with attractive benefits.
- Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
- Professional Growth – Access to a yearly learning & development budget.
- Global Culture – Join a team that values international collaboration and retreats.
- Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.
Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.
At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!
Ready to apply?
Apply to DataCamp