DROGARIA ARAUJO

Senior Data Scientist

OmrådeStockholm
Publicerad2026-03-18
Ansök senastÖppet tills vidare

Om jobbet

About us

Enklare is a fast-growing Swedish company on a unique journey to make financial advice more accessible to everyone. We help customers reach their financial goals in a simple, secure and personal way, and to succeed, we need the right talent on our team.

About the role

We are looking for a Senior Data Scientist who can take full ownership of machine learning models from data to production.

You will work across the full stack - from transforming data in the warehouse (dbt), to training models, to deploying and monitoring them in production.

This role sits at the intersection of data science, data engineering, and backend systems, with a strong focus on building reliable decisioning systems.

What you'll do
  • Own the full lifecycle of models: data training evaluation production monitoring
  • Build and maintain feature transformations in dbt (batch layer)
  • Develop and train models (e.g. credit risk, pricing, decision systems)
  • Deploy models to production using APIs or batch pipelines
  • Ensure models are stable, monitored, and retrained when needed
  • Work closely with stakeholders to define problems and evaluate impact on risk, conversion, and profitability
  • Collaborate with Data Engineers on data pipelines and infrastructure
  • Improve internal processes around ML development and deployment

What we're looking for
  • 5+ years in Data Science / ML
  • Experience building and deploying models into production
  • Strong experience with SQL and data modeling in a warehouse
  • Experience with dbt or similar transformation frameworks
  • Solid Python skills for modeling and data processing
  • Understanding of how ML systems run in production (APIs, batch, monitoring)
  • Comfortable owning systems end-to-end - not just modeling

What we offer

High ownership, real impact, and a short path from idea to production. You'll help shape our ML platform and ways of working, building systems that directly influence business decisions and financial outcomes, not just offline metrics.

You'll join an early-stage data team with high ambitions, working closely with product and engineering. As we expand into lending and deposits, you'll be part of building the decisioning systems from the ground up.

Application

Apply in English (Swedish is also welcome). We review applications on an ongoing basis and will fill the role as soon as we find the right person. We look forward to welcoming you to Enklare!

Department Tech Locations Stockholm Remote status Hybrid