Manager, Data Science

Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve some of the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

Our moonshot is bold: unlock $100B in customer value by 2035 and redefine how global industry works.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not step back - you’ll feel at home here. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune.

You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite’s delivery standards.

This is a capability-building role
—your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods.

• Own the DS function’s technical quality across all customer engagements in the region
• Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing
• Ensure scalable, maintainable, and well-documented analytical solutions across all pods.

• Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes
• Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs.
• Support escalations as a senior technical advisor—ensuring pragmatic, customer-centric resolution

• Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions.
• Ensure DS work accelerates adoption of AI-enabled workflows, Dune-based solutions, and repeatable industrial patterns.
• Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function.

• Ensure DS teams follow disciplined delivery practices including: – clear problem framing – structured exploration – robust modelling & validation – well-defined acceptance criteria – telemetry, monitoring, and performance checks
• Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness.
• Track DS contribution to delivery health, model quality, and customer outcomes.

• Lead, mentor, and develop the Data Science community across Value Delivery Europe.
• Define the DS competency framework and build learning pathways covering: – statistics, machine learning, optimisation – deep learning, generative models, agentic frameworks – industrial domain context – Dune workflows and UI-based logic – communication, consulting, and delivery excellence
• Run DS guilds, brown bags, technical shows-and-tells, and practice reviews.
• Recruit top DS talent, shape onboarding, and grow internal leaders.

• Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success.
• Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements.
• Support…