Data Scientist - Product
Feedzai
Product, Data Science
Portugal
Posted on Feb 19, 2026
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 +$1.5B, the company's technology protects 900 million people in 190 countries.
The Product Team builds our product to disrupt the RiskOps/financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class user experience. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today.
The Product Data Science role requires an engineer at heart who is able to lead and guide Data Science/Machine Learning teams to deliver Feedzai financial crime fighting products. The role requires deep data science knowledge, allowing the teams to have strong support at a strategic level. With Feedzai IQ Feedzai is changing the game, leveraging novel modeling strategies hand in hand with explainability and strong governance practices.
Your Day to Day
- Collaborate within a diverse team of data scientists and software engineers whose work has a direct impact on detecting financial crime activity.
- Communicating your findings to Product Managers and other relevant stakeholders.
- Provide technical feedback to the team regarding architecture, design, experimental setups, and code reviews.
- Be responsible for the planning, execution, and success of Data Science initiatives, with support from the team.
- Work with key stakeholders across all groups within the Engineering and Product Teams.
- Process data using the Python scientific stack (NumPy, Pandas, SciPy, Scikit-learn, ...) and SQL.
- Work with very large data sets by leveraging distributed computing, e.g. with PySpark.
- Work and contribute to state-of-the-art modeling strategies with bespoke architectures.
- Directly contribute to observability and governance tooling and practices.
You Have & You Know-how
- 1+ years of experience with very large datasets.
- 2+ years of experience in applied ML.
- 2+ years of data science work, including experiment design.
- Experience in communicating complex concepts to customers and/or key stakeholders.
Preferred/Valued Qualifications and Skills:
- Experience in banking including Account Opening, or Credit Risk Scoring is highly valuable.
- Demonstrated skills in adaptability, problem-solving, and critical thinking.
- Be solution-oriented, and when issues arise, be able to roll up your sleeves and tackle them with a ‘get it done’ attitude.
- Team player with a clear focus on taking the performance of teams to the next level.
- Solid background in data science practices and applied Machine Learning principles.
- Practical experience with tree-based algorithms (Random Forest, XGBoost, LightGBM.)
- Experience working in customer-facing Data Science initiatives.
- Experience working in the fraud detection domain.
The Product Team builds our product to disrupt the RiskOps/financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class user experience. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today.
#LI-Remote #LI-MG3
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.
