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Cognite is an industrial digitalization company building AI and data solutions for heavy industries including Oil & Gas, Manufacturing, Pharma, Power & Utilities, and Life Sciences. The company operates at the forefront of industrial AI with a comprehensive suite of capabilities including low-code AI agents and data solutions.
As a Data Scientist within Cognite's EMEA Delivery team, you will collaborate with cross-functional experts—Data Engineers, Solution Architects, and Project Managers—to deploy and scale digital solutions for heavy industries. You will work directly with industry leaders to drive digital transformation by leading client discovery workshops, uncovering insights from complex data, and operationalizing scalable solutions that make heavy assets more efficient and sustainable.
Key responsibilities include:
- Develop and deploy scalable solutions for customer use cases using Cognite's core capabilities
- Participate in intensive use case generation workshops with subject matter experts to understand problems and map them to data
- Perform data cleansing and exploratory data analysis
- Implement physical models and machine learning models in Python and deploy to the model hosting environment
- Apply GenAI techniques to enhance data-driven decision-making in customer use cases
- Develop web applications built on Cognite Data Fusion with the help of AI agents
- Utilize and contribute to solution templates and best practices within the Data Science team
- Collaborate with data engineers, project managers, and solution architects on project deliveries
- Support customers and partners in conducting data science tasks with Cognite products
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, Data Analytics, Statistics, Applied Mathematics, or a related quantitative field
- 1–4 years of relevant work experience as a data scientist (preferably within related industry)
- Proficient experience with Python, SQL, and AI IDEs such as Claude Code or Cursor; experience with efficient usage of AI tools is a plus
- Experience with machine learning methods and techniques, statistics, and/or optimization
- Experience with Git
- Experience working customer-facing with external customers
- Ability to work effectively in cross-functional teams
- Comfort with challenges and ambition to set goals that drive innovation
- Humility to ask for help and willingness to share knowledge with others
Preferred: Related industry experience in Oil & Gas, Manufacturing, Pharma, Power & Utilities, or Life Sciences.
