Data Scientist

• Define the needs and scope of the A&D function across data infrastructure, data activation and development, and automation
• Govern and improve infrastructure that transforms data from multiple sources into usable assets
• Design a self-serving BI landscape in Looker, own the semantic layer, and bring new data and data products into use
• Help teams automate manual work and drive Temper’s AI-native ambition end to end, from identifying operations through prioritization, solution design, and implementation
• Map workload into roles and hire for those roles
• Determine whether existing data and automation work across the business belongs within the A&D team
• Establish an AI-native way of working for the team
• Build and manage the A&D team
• Report to the CFO and collaborate with Commercial, Marketing, Support, Product, and Finance

Automation Lead

• Manage data professionals in close collaboration with the Service Line lead
• Develop and maintain production-quality data science systems
• Manipulate complex data from different sources using R, Python, SQL, and Google Cloud Platform
• Perform complex statistical analyses and prediction models for media research
• Support researchers on the team
• Check results before delivery to the research team
• Clearly visualize and communicate results to internal and external customers
• Contribute to renewing and improving existing structures and processes
• Support diverse media projects involving passive electronic measurement, TV, print, behavior, and ad-hoc media studies

Data Science Manager

• Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams
• Guide integration of scientific metadata, ontologies, taxonomies, and knowledge assets into AI workflows
• Review code, architecture, and technical decisions to ensure production readiness
• Unify technical approaches into shared patterns, libraries, or frameworks
• Define and maintain shared standards, evaluation, and monitoring frameworks
• Lead or contribute to AI governance and compliance activities, including responsible AI, model risk assessment, and regulatory adherence
• Conduct or oversee technical reviews and quality audits, identifying gaps and driving remediation
• Mentor and coach across multiple data science teams
• Harmonise tooling and delivery practices across distributed teams
• Represent data science in senior management and governance meetings
• Advise senior leadership by translating business priorities into technical direction
• Collaborate across teams and functions to turn complex challenges into practical solutions
• Provide occasional hands-on involvement in high-priority or high-risk work

Principal Data Scientist I

• Drive the intelligence behind marketing campaigns
• Build models that optimize offer allocation across millions of users and global markets
• Lead end-to-end data science and AI projects from ideation and model design to production deployment
• Apply causal inference, uplift modelling, optimisation techniques, and advanced LLM tools to solve complex marketing decisions
• Evaluate the real-world impact of strategies using causal measurement
• Identify opportunities to improve promotion efficiency and customer experience
• Ensure technical solutions are robust, scalable, and impactful
• Take ownership of complex data science projects to reduce wasted spend and drive order growth
• Develop models predicting incremental impact per user, offer, and market
• Design and deploy scalable, production-grade code and ML pipelines integrated with cloud infrastructure
• Apply causal inference methods and randomized controlled trials to measure true incremental impact across markets
• Partner with leadership and translate complex model outcomes into clear business decisions
• Champion coding standards, conduct code reviews, and mentor colleagues

Senior Data Scientist

• Lead the execution of Rabobank’s strategic Data Management agenda
• Translate data strategy into measurable business outcomes and AI readiness
• Deliver the Data Management Execution Roadmap across Rabobank for 2026–2028
• Accelerate implementation of AI-ready data principles, use cases and high-priority data management initiatives
• Improve the use, reuse and measurable value of strategic data products
• Lead programme delivery across business and technology domains
• Embed data management requirements into processes, reporting and change initiatives
• Coordinate senior and executive stakeholders, product owners, transformation leads and technology representatives
• Provide transparency on progress, risks and dependencies
• Prepare evidence-based steering materials and support executive decisions on priorities, investments, risks and regulatory commitments
• Strengthen Data Governance and improve Data Quality
• Report to the Head of COO Data Management and collaborate with leaders, data owners, technology leaders, risk specialists and transformation teams

Data Scientist jobs in Netherlands

Automation Lead

Data Science Manager

Principal Data Scientist I

Senior Data Scientist

Program Manager – Data Management Execution