Senior Data Scientist (Remote - EU only)
A fintech company's data products team is hiring a senior data scientist to combine applied modeling with ML infrastructure work. You will build production models and set up the evaluation, deployment, and monitoring practices that keep ML systems reliable as they grow. The role suits someone who enjoys both hands-on modeling and defining how a team works.
What you'll do
- Define and improve practices for evaluating, deploying, monitoring, versioning, and retraining models.
- Design evaluation frameworks and test harnesses to check model quality before and after launch.
- Build and own models and analyses for transaction categorization, document understanding, and retrieval-augmented or agentic systems.
- Work with data engineering on model registries, feature stores, serving patterns, and drift/degradation monitoring.
- Set technical standards and tooling as the ML practice expands.
- Turn ambiguous business questions into modeling problems and run experiments, including A/B tests and causal analyses.
What you need
- At least 6 years of data science or applied ML experience, including models deployed to production.
- Strong working knowledge of ML infrastructure such as deployment, monitoring, retraining, model registries, and feature stores, plus experience designing evaluation frameworks.
- Proficiency in Python and SQL, statistical modeling, and experiment design.
- Track record of establishing ML or data science practices and standards within a team.
- Useful tools include Snowflake, dbt, PostgreSQL, Kubernetes, MLflow, Terraform, Prometheus, and Google Cloud; experience with cloud ML platforms and workflow orchestrators is a plus.
- Experience with RAG, agents, OCR, or document understanding is a plus; fintech or financial data experience is also valued.
Applicants must be based in: United Kingdom, Germany, France, Netherlands, Spain, Portugal, Poland, Ireland, Italy, Belgium.
How to apply
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