At a Glance
- Tasks: Lead a high-performing Data Science team to deliver impactful AI solutions.
- Company: Join Cognite, a leader in industrial digitalisation and AI innovation.
- Benefits: Enjoy a modern work environment, health services, and subsidised lunches.
- Other info: Be part of a diverse team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact on global industry with cutting-edge technology.
- Qualifications: 7-10+ years in Data Science with strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
Cognite operates at the forefront of industrial digitalization, building AI and data solutions that solve 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. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.
How you’ll demonstrate Ownership
- 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.
The Impact you bring to Cognite
- 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.
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.
- 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 cross‑functional alignment on best practices for modelling, data readiness, and solution reliability.
Required Qualifications
- 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.
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.
- 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.
- Get access to private health services with Cognite Care.
- A subsidized lunch at the canteen delivered by the chefs at Fornebuporten (Aker Tech House).
- Our own Cognite exclusive coffee bar with the friendliest baristas.
- 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.
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.
Manager, Data Science employer: Cognite AS
Cognite is an exceptional employer that champions a vibrant and inclusive work culture, where innovation thrives and diverse perspectives are valued. With a strong focus on employee growth, you will have the opportunity to lead and mentor a high-performing team in a dynamic environment, while enjoying benefits such as subsidised meals, private health services, and access to a fully-staffed gym. Join us at our modern Fornebu location, where you can collaborate with industry experts on ambitious projects that redefine industrial digitalization.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Data Science
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Cognite. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress hiring managers and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into Cognite's mission and values. Understand how your experience aligns with their goals, especially around AI and data solutions. Tailoring your responses to reflect their culture will make you a standout candidate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Cognite and being part of our exciting journey.
We think you need these skills to ace Manager, Data Science
Some tips for your application 🫡
Show Your Passion for Data Science:When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've tackled challenges in the past and how you see yourself contributing to our mission at Cognite.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience and skills. We want to see how your background aligns with the role of Data Science Leader and how you can elevate our capabilities.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your achievements and avoid jargon unless it's necessary. We appreciate clarity as much as we value technical expertise!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Cognite AS
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and industrial analytics. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Showcase Your Leadership Skills
As a potential DS Leader, it's crucial to demonstrate your ability to lead and mentor teams. Prepare examples of how you've developed talent in your previous roles and how you plan to uplift the Data Science community at Cognite.
✨Understand the Business Impact
Cognite is all about delivering customer value. Be prepared to explain how your data-driven solutions have translated into measurable outcomes for businesses. Think about KPIs and how you've validated model performance in the past.
✨Be Ready for Technical Questions
Expect some deep dives into technical topics during your interview. Brush up on your knowledge of Python, SQL, and Dune workflows. Being able to explain complex concepts clearly to non-technical stakeholders will also be a big plus!