Lead Data Scientist

About the role

Twoday Denmark is seeking an experienced Lead Data Scientist to guide AI projects for large Nordic clients. You will translate vague business problems into well‑defined prediction tasks, build robust models, and ensure they are adopted in production.

Key responsibilities

• Lead analytical design from problem framing to validated, documented production models.
• Run framing sessions with customers to define targets, decision support, and success criteria.
• Own algorithmic choices, validation strategies, and honest assessment of model value.
• Set analytical standards for reproducibility, experiment tracking, and documentation.
• Mentor data scientists and grow the data‑science capability across Danish teams.
• Participate in scoping and pre‑sales for AI initiatives, evaluating feasibility and data readiness.

Required profile

• Several years of hands‑on data‑science experience with models deployed to production.
• Proven ability to turn business objectives into formal AI/ML problems and define success metrics.
• Strong judgment on algorithmic choice and solid applied statistics knowledge.
• Fluent spoken and written Danish.
• Leadership demonstrated through analytical direction, mentoring, and raising standards.

Required skills

• Experience with Azure Machine Learning, Databricks, or Microsoft Fabric.
• Deep predictive modelling: classification, regression, time‑series, and generative AI.
• Applied statistics: validation, uncertainty quantification, and result interpretation.
• Software fundamentals for production‑ready code.
• Understanding of AI governance: reproducibility, model documentation, GDPR, bias, and EU AI Act compliance.

What we offer

• Modern offices across 30 locations in the Nordics and Lithuania.
• Opportunities to work from headquarters in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius.
• Strong social environment with highly engaged employees.
• Flexibility to develop internationally within an innovative technology group.