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Utrecht
1 week ago
Head of Data Science & AI logo

Head of Data Science & AI

bol

Utrecht
1 week ago
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Head of Data Science & AI

As Head of Data Science & AI at bol, you will define and own the data science and AI strategy, elevate the data science craft, and build a world-class community. You will lead a central team, oversee the full model lifecycle, and ensure responsible AI practices, reporting to the Director of Data, Analytics & AI.

AI-enabledHybridFull-timeDirectorData ScienceMachine Learning

Head of Data Science & AI

As Head of Data Science & AI at bol, you will define and own the data science and AI strategy, elevate the data science craft, and build a world-class community. You will lead a central team, oversee the full model lifecycle, and ensure responsible AI practices, reporting to the Director of Data, Analytics & AI.

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AI-enabledHybridFull-timeDirectorData Science

Salary

Not specified

Work Location

Utrecht, Utrecht, Netherlands, NL

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Head of Data Science & AI; deep expertise in data science and machine learning; experience scaling data science teams

Core Qualifications

Technical (Must-have)
Data ScienceMachine LearningAI StrategyModel Lifecycle ManagementResponsible AIData PlatformEngineeringAnalyticsLeadershipTalent Development
Soft Skills
Craft builderResponsible by convictionCentral-and-distributed thinker

Key Responsibilities

  • •Define and own the data science and AI strategy, aligned with product, technology, and business priorities — including where we invest, and clear build / buy / reuse choices
  • •Develop, evangelize and elevate our data science craft: standards, tooling, training, and quality bar for our data scientists, company-wide, most of whom report elsewhere
  • •Grow and lead a central data science and AI team, scaling as scope expands
  • •Oversee the full model lifecycle: development, validation, deployment, monitoring, and retraining
  • •Enable domain teams to build and deploy AI with confidence, through shared patterns, standards, and expert support
  • •Partner closely with Data Platform & Engineering to develop and operate models at scale
  • •Ensure AI at bol meets legal, ethical, and regulatory obligations, embedding transparency, human oversight, and responsible-AI principles into the design and use of models
  • •Lead and develop the central data science and AI teams, set the quality bar and build the talent, career paths, and learning practices that keep bol's data scientists at the forefront
Data ScienceAIHead ofRetailHybridUtrechtNetherlandsLeadershipMachine LearningResponsible AI
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