Senior Data Scientist

Join a fintech data products team in a hybrid data science and ML infrastructure role. You will build production models and establish the evaluation, deployment, and monitoring foundations that help ML systems remain reliable as they scale.

Responsibilities

• Define and evolve practices for evaluating, deploying, monitoring, versioning, and retraining models.
• Design evaluation frameworks and test harnesses to assess model quality before and after launch.
• Build and own models and analyses for transaction coding suggestions, document understanding, and retrieval-augmented or agentic systems.
• Partner with data engineering on infrastructure decisions, including model registries, feature stores, serving patterns, and monitoring for drift and degradation.
• Set technical standards and improve tools and processes as the ML practice grows.
• Translate ambiguous business needs into modeling questions and design experiments, including A/B tests and causal analyses, to measure impact.

Requirements

• At least 6 years of data science or applied ML experience, including models shipped to production.
• Strong knowledge of ML infrastructure, including deployment, monitoring, retraining, model registries, and feature stores, plus experience designing evaluation frameworks.
• Proficiency in Python and SQL, statistical modeling, and experiment design.
• Experience establishing ML or data science practices and standards on a team.
• Relevant technologies include Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud services; experience with cloud ML platforms and workflow orchestrators is useful.
• Experience with RAG, agents, OCR, or document understanding is useful. Fintech, banking, or financial data experience is also valuable.

Pay

Salary range: €75,000 to €100,000 annually.

Benefits

• Fully remote within the EU.