Senior Data Scientist (AI)

Location: København, DK; flexibility to work from hirify.global headquarters in Oslo, Stockholm, Copenhagen, Helsinki, or Vilnius at times.

Company

hirify.global is a digital transformation partner in Northern Europe delivering Data & AI, software development, digital experiences, and business applications for private and public organizations.

What you will do

• Deliver customer-facing analytical work including exploration, feature work, baselines, modelling, validation, and documentation.
• Frame business problems as prediction tasks with defined targets, decisions, and success criteria.
• Choose and justify algorithmic approaches, starting with appropriate baselines and adding complexity where it provides value.
• Build and interpret production models with AI/ML engineers, and select evaluation metrics aligned with business outcomes.
• Collaborate with customer analysts and domain experts through delivery and handover.
• Contribute through code reviews, internal sessions, pairing, and potential progression toward a lead role.

Requirements

• Hands-on data science experience, including one or two models taken from prototype to production.
• Experience translating business objectives into formal AI/ML problems, defining target variables and units of analysis, agreeing success criteria, and identifying when data cannot support the question.
• Strong predictive modelling skills across classification, regression, time series, and generative AI.
• Sound judgement in algorithm selection, including baselines, classical statistical models, heavier methods, and recognising when a problem is not predictive.
• Applied statistics skills covering honest validation, uncertainty, and communicating what results do and do not support.
• Strong software fundamentals and experience with Azure, Azure Machine Learning, Databricks, or Microsoft Fabric; AWS or GCP experience is transferable.
• Experience applying generative AI, including RAG architectures and evaluation of prompts and models.
• Awareness of reproducibility, model documentation, GDPR, bias, and fairness in governance.
• Ability to present work to customer stakeholders and explain technical trade-offs; fluent spoken and written Danish is required.

Culture & Benefits

• Hands-on role with experienced colleagues and ownership of analyses and models.
• Collaborative, multidisciplinary work with data engineers, AI/ML engineers, cloud architects, software developers, analysts, and domain experts.
• Modern offices across 30 locations in Norway, Sweden, Denmark, Finland, and Lithuania.
• International and innovative technology and software environment with opportunities for professional development.
• Strong social environment and commitment to diversity and inclusion.