Data Scientist Placement Programme
Role details
Job location
Tech stack
Job description
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.
The Impact you bring to CogniteRegional Technical Leadership (Data Science)
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.
Customer Value Realization
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
Scaling & Growth
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.
Operational & Delivery Quality Management
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.
Team Leadership & Development
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.
Collaboration & Alignment
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 cross-functional alignment on best practices for modelling, data readiness, and solution reliability
Requirements
7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles
Proven track record delivering data-driven solutions in production-preferably in industrial, asset-heavy, or mission-critical environments
Experience leading technical teams or DS communities
Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows.
Ability to translate industrial problems into analytical, predictive, or agent-based solutions
Familiarity with full-stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low-code/no-code, visual interfaces)
Excellent communication skills-able to explain complex technical concepts to non-technical stakeholders
High delivery orientation with strong problem-solving and analytical thinking
Mindset
Passionate about growing people, uplifting technical depth, and maturing DS practices
Curious, experimental, and willing to adopt new frameworks, including Dune-based development
Collaborative, structured, and committed to customer value and operational excellence
Thrives in high-growth, rapidly evolving environments
Benefits & conditions
A snapshot of our many perks and benefits as a Cogniter
Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus
A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more
Flat structure with direct access to decision-makers
Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology
Join our HUB ️ to be part of the conversation directly with Cogniters and our partners.
Get access to private health services with Cognite Care.
Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House)
Our own Cognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.
