Data Scientist
Norway (Oslo)
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Engineering, Data Science, Data Analytics, Statistics, Applied Mathematics, or a related quantitative field.
- Experience working customer faced, with external customers
- 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, Cursor.
- Experience with machine learning methods and techniques, statistics and/or optimization
Preferred experience
- Experience with efficient usage of AI tools is a plus
Qualification wording
Bachelor’s degree in Computer Science, Engineering, Data Science, Data Analytics, Statistics, Applied Mathematics, or a related quantitative field.
Experience working customer faced, with external customers
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, Cursor. Experience with efficient usage of AI tools is a plus
Experience with machine learning methods and techniques, statistics and/or optimization
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Perform data cleansing and exploratory data analysis - Implement physical models / machine learning models in Python and deploy to our model hosting environment - Apply GenAI techniques to enhance data-driven decision-making in customer use cases
- 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, Cursor. Experience with efficient usage of AI tools is a plus - Experience with machine learning methods and techniques, statistics and/or optimization
Posting record
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- Live
- First seen by us
- Oct 7, 2026 · 8d ago
- Recorded sightings
- 5
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
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 like Oil & Gas, Manufacturing, Pharma, Power & Utilities, Life-Sciences
You will work directly with industry leaders to drive digital transformation: leading client discovery workshops, uncovering insights from complex data, and operationalizing scalable solutions that make heavy assets more efficient and sustainable.
- Develop and deploy scalable solutions for customer use cases from Oil and Gas, Energy, Manufacturing, Pharma, Life-Sciences, Power & Utilities industries using Cognite’s core capabilities
- Participate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
- Perform data cleansing and exploratory data analysis
- Implement physical models / machine learning models in Python and deploy to our 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 to enable our customers to achieve the full potential of our industrial DataOps platform
- Support customers and partners in conducting data science tasks with Cognite products
- 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, 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 faced, with external customers
- Enjoy working in cross-functional teams
- Enjoy challenges and dare to set ambitious goals that drive innovation
- Humility to ask for help and enjoy sharing knowledge with others
Preferred Experience
- Related industry experience
A snapshot of our many perks and benefits as a Cogniter
- Impact 2025
- Cognite's Industrial AI: Moonshot
- We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Norway (Oslo)
* 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. * A pet lover? Get the chance to meet Spot at the Robot Garden!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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