Data Scientist – Recommendation Systems – Helsinki, Finland – Hybrid

Data Scientist – Recommendation Systems – Helsinki, Finland – Hybrid

Empiric are supporting a leading organisation on a long-term Data Science requirement in Helsinki, Finland.

We are looking for two experienced Data Scientists to develop and maintain recommendation systems for consumer-facing digital services. The role combines machine learning, statistical analysis and software engineering, with a strong focus on building and supporting production-ready data and AI solutions.

You’ll be responsible for developing recommendation algorithms, analysing user behaviour, running continuous A/B tests and maintaining production models, APIs and data solutions.

Key Skills & Experience

• Strong hands-on Data Science and machine learning experience.
• Proven experience developing and maintaining production ML models.
• Commercial experience developing recommendation systems.
• Strong Python and SQL programming skills.
• Experience developing and maintaining production APIs.
• Statistical analysis of live production and user data.
• Experience designing, implementing and analysing A/B tests.
• Experience developing consumer-facing digital services.
• Production experience with AWS, Azure or GCP.
• JavaScript or TypeScript experience.
• Experience with Snowflake, Databricks, dbt or Microsoft Fabric.
• Experience using AI-assisted development tools as part of daily work.
• Experience working within Scrum and/or Kanban teams.
• Fluent Finnish language skills.

Important Requirements

This opportunity forms part of a public procurement process. All mandatory experience requirements must be evidenced through specific projects and quantified in person-days as part of the submission process.

Contract Details

Location: Helsinki metropolitan area, Finland

Work Model: Hybrid, approximately two days per week onsite

Contract Setup: Freelance / B2B

Start Date: 5 October 2026

Duration: 12 months + extensions

Allocation: 100%

Rate: €60–€65 per hour

Submission Deadline: 4 September 2026

This is an excellent opportunity to join a long-term programme and work on business-critical recommendation systems used within consumer-facing digital services.

Please respond to this advert or reach out to Azaan on either azaan.iqbal@empiric.com or +44 7853 846584, WhatsApp is fine, for a confidential chat and more details on this exciting project.