Senior Data Scientist - Production ML & AI Solutions

Twoday

Aarhus

Hybrid

DKK 700,000 - 900,000

Full time

4 days ago
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Job summary

Twoday is seeking a Senior Data Scientist to join its AI team. You will transform business problems into predictive tasks, build production-grade models, and collaborate with engineers, cloud architects, and stakeholders to deliver value across Nordics.

You will work hands-on with data, validate models, and apply responsible AI governance, including GDPR considerations, while communicating results to customers in Danish and English.

Qualifications

  • Experience turning business problems into AI/ML tasks.
  • Strong validation and measurement practices.
  • Ability to explain results and trade-offs clearly.

Responsibilities

  • Deliver analytical work in customer projects: exploration, baselines, modelling, validation, and documentation.
  • Frame customer problems into a defined prediction task with targets and success criteria.
  • Propose and justify algorithmic approaches from baseline to complex methods.
  • Build production-ready models with AI/ML engineers and interpretable outputs.
  • Choose evaluation metrics tied to business outcomes, not leaderboard scores.
  • Collaborate with customers' analysts and domain experts during delivery and handover.
  • Share knowledge through code reviews, internal sessions, and mentoring.

Skills

Hands-on data science
Production models
Translate business objective into AI
Predictive modelling
Time series
Generative AI
Governance & GDPR awareness
Software fundamentals
Azure ML
Databricks
Microsoft Fabric
RAG architectures
Stakeholder communication
Danish fluency

Tools

Azure ML
Databricks
Microsoft Fabric

Job description

Twoday is seeking a Senior Data Scientist to join its AI team. You will transform business problems into predictive tasks, build production-grade models, and collaborate with engineers, cloud architects, and stakeholders to deliver value across Nordics.

You will work hands-on with data, validate models, and apply responsible AI governance, including GDPR considerations, while communicating results to customers in Danish and English.

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