Data Scientist

At Finom, we’re on a mission to transform the financial landscape for small and medium businesses (SMEs) across Europe. We’re all about innovation, putting our customers first, and making data-driven decisions. We’re building something special - a financial platform that simplifies finance management, eliminates routine tasks and makes life easier for our customers. As we expand, we’re looking for a Senior Machine Learning Engineer to join our Data Science & Machine Learning team and help us scale our efforts through data-driven insights and advanced machine-learning models.

What You Will Be Doing

• Anomaly Detection: Prepare and operationalize (deploy) MVPs for anomaly detection tasks in production.

• Graph & Entity Modeling: Improve the graph engine and refine entity connection logic to better define customer clusters and supply chains.

• Risk Logic: Enhance transaction categorization logic to maximize value and impact for both fraud detection and fraud prevention.

• Overall Focus: Bridge research and production through strong MLOps practices, specializing in risk management systems.

Who You Are

• Experienced Machine Learning Engineer or Full-stack Data Scientist with a solid track record in delivering production-grade ML solutions - 4-5 years of experience

• Proficient in Python and SQL-based programming

• Skilled in working with cloud-based data platforms such as Databricks

• Experienced in deploying machine learning models and API services (e.g., FastAPI) in production environments

• Strong understanding of system architecture and ability to design scalable ML solutions

• Analytical and critical thinker with a proactive, results-driven mindset

• Comfortable working in fast-paced, start-up environments with minimal supervision

• Educational background in mathematics, engineering, economics, or computer science

• Fluent in English, capable of working in an international environment