Data Scientist
Lisboa, Portugal
há 4 dias

Lisbon / Porto / Coimbra

Feedzai is the market leader in managing financial risk with AI. We’re coding the future of commerce with today’s most advanced risk management platform powered by big data and machine learning.

Founded and developed by data scientists and aerospace engineers, Feedzai has one mission : to make banking and commerce safe.

The world’s largest banks, processors, and retailers use Feedzai’s fraud prevention and anti-money laundering products to manage risk, while improving customer Experience.

Engineering is responsible for all Feedzai product development. Together with Product Management and Data Science, we are building the next generation of tools to catch fraud in real time with a machine learning first approach.

Formed by engineers and managed by engineers, at Feedzai you will find one of the most talented teams out there from junior to senior engineers that provide a safe, open and collaborative environment leading to a continuous learning of everyone.

While building the best value to our customers, you will be exposed to a wide range of technical challenges such as building distributed systems that need to operate 24 / 7 and ultra-low latencies.

As a Data Scientist, you will work alongside our Data Engineers, Data Visualization Engineers, Fraud Analysts, Software Engineers and others in the Product teams to evaluate and improve our products.

The Product Data Science team interacts frequently and closely with several other teams, such as Product, Customer Success, and Research teams.

This team invests heavily in state-of-the-art data science and engineering efforts, including AutoML, Explainable AI, graph algorithms, integration with open-

source tools, modern visualizations, deep learning, and more.

We are looking for people with high critical thinking, strong curiosity and thirst for knowledge that likes to work in teams and cares for the quality of their work.

We want your incredible talent to drive growth and help internal and external customers be successful. We expect you to be a curious person, driven to learn, and looking for answers to challenging problems.

We also expect you to be a good-humored team player, someone who’s reliable and accountable, and that you care for the quality of your work and for the success of the product you help developing.


  • Design and execute end-to-end data science experiments, including building large-scale data processing pipelines for data gathering, data cleaning, data understanding and data analysis based on your experience and deep knowledge.
  • Work in a multidisciplinary team spanning across data science, engineering, data visualization and product development.
  • Feedzaians are team players, always willing to help each other.

  • Communicate findings and results to internal and external stakeholders and make business recommendations.
  • Face the demands of the financial industry, from scalability to fault tolerance to data protection and security.
  • Help upholding our competitive edge by continuously learning and sharing your knowledge in company-wide Show & Tell sessions, technical talks and a reading.
  • Group for the state-of-the-art scientific papers. We also provide a training budget.
  • Look for the new industry trends and competitors’ new products and features. The Product team’s main goal is to deliver the best fraud engine of the market.
  • Understand our clients (internal or external) needs and guide their success.
  • Take ownership of your work and always strive to raise the bar.
  • Qualifications & Experience

  • MSc / PhD in a quantitative discipline (e.g., physics, statistics, computer science, bioinformatics, electrical engineering, etc.).
  • Proficiency in either Python, Java, Scala or C++.
  • Experience with data science platforms (e.g., SciPy / Pandas, R).
  • Experience with machine learning platforms (e.g., scikit-learn, Tensorflow, Spark ML, etc.).
  • Experience with the end-to-end Data Science loop : from the data processing stage to the model evaluation analysis.
  • Ability to communicate your findings in a clear way.
  • Nice to Have :

  • Experience with classification models.
  • Experience with large datasets.
  • Experience in fintech.
  • Experience with SQL.
  • Experience with data processing platforms (e.g., Spark, Hadoop).
  • Experience with graph databases (e.g., Neo4j, Apache Giraph).
  • Travel Requirements

  • Up to 20% travel
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