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- Tasks: Develop and deploy data-driven solutions for industries like Oil & Gas and Manufacturing.
- Company: Join Cognite, a global leader in industrial software and AI.
- Benefits: Diverse workplace, modern culture, flat structure, and opportunities for growth.
- Why this job: Make a real impact in digital transformation and work on ambitious projects.
- Qualifications: 2+ years as a data scientist with Python and SQL experience.
- Other info: Mentorship opportunities and a focus on diversity and inclusion.
The predicted salary is between 28800 - 48000 ÂŁ per year.
About Cognite
Cognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we’re building our team with talented, forward-thinking individuals who want to make a difference. Even if you don’t see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward.
In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.
Our values
- Impact: Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.
- Ownership: Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.
- Relentless: Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.
Cognite is a global leader in industrial software and AI with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms.
The Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Data Scientist at Cognite, you will work on challenging data-problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing. Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.
The Data Science team is a part of the EMEA delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Oslo (Norway), Phoenix & Houston (USA), Tokyo (Japan) and Bengaluru (India). We are a good mix of Project Managers, Data Scientists, Data Engineers, Solution Architects with domain expertise from Oil and Gas, Power & Utilities and Manufacturing. We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable.
As a Data Scientist you are responsible for the following, but not limited to:
- Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power & Utilities industries using Cognite’s core capabilities.
- Participate in 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.
- Design and develop domain specific information and data models.
- Apply GenAI techniques to enhance data‑driven decision‑making in customer use cases.
- Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions.
- Utilize and contribute to solution templates and best practices within the Data Science team.
- Mentoring and coaching junior team members is an important part of being a Senior at Cognite.
- 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.
We believe most of these should match your experience:
- Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical or industrial engineering.
- 2+ years of full‑time work experience as a data scientist (preferably within related industry), or data scientist with domain expertise in Oil and Gas or Maintenance or Manufacturing.
- Proficient experience with Python and SQL. Experience with Python in a production setting is a plus.
- Experience with machine learning methods and techniques, statistics and/or optimization.
- Experience with Git.
- Experience working customer faced, with external customers.
- Experience with managed cloud services such as GCP, Azure or AWS is a plus.
- Domain knowledge or a good understanding of the Oil and Gas industry. Asset Performance Management - covering i.e production optimization is a big plus.
- Enjoy working in cross‑functional teams.
- Able to deliver independently, coach and mentor others internally.
- Enjoy challenges and dare to set ambitious goals that drive innovation.
- Humility to ask for help and enjoy sharing knowledge with others.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
A snapshot of our many perks and benefits as a Cogniter:
- Join an organization of 70 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, with minimal amount of bureaucracy.
- Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries.
Why choose Cognite?
Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front‑line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader!
Apply today! If you’re excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions.
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; everyone we hire will receive the same level of consideration for training, compensation, and promotion.
Data Scientist employer: Cognite
Contact Detail:
Cognite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨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 job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those related to data science. Use platforms like GitHub to showcase your code and visualisations. This gives potential employers a taste of what you can bring to the table.
✨Engage with Cognite's Community
Join Cognite’s talent community and stay active on their social media. Engage with their posts, share your thoughts on industry trends, and let them see your passion for data science. This can help you stand out when opportunities arise.
✨Prepare for the Interview
Once you land an interview, prep like it’s a big exam! Research Cognite’s projects, understand their values, and be ready to discuss how your skills align with their mission. Practise common data science interview questions and think about how you can demonstrate your problem-solving abilities.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience in Python, SQL, and any relevant industry knowledge, especially in Oil & Gas or Manufacturing.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about joining Cognite. Share specific examples of how your past experiences can contribute to our mission of transforming industrial data into actionable insights.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing how you’ve applied your skills in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be seen by our recruiting team, and you'll be part of our talent community for future opportunities too!
How to prepare for a job interview at Cognite
✨Know Your Data
As a Data Scientist, it's crucial to have a solid understanding of the data you'll be working with. Before the interview, brush up on relevant datasets and case studies in the Oil & Gas, Manufacturing, and Power & Utilities sectors. This will not only show your expertise but also your genuine interest in Cognite's work.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your ability to think critically and apply your skills to real-world problems, which is key for a role at Cognite.
✨Familiarise Yourself with Tools and Technologies
Make sure you're comfortable discussing Python, SQL, and any machine learning techniques you've used. If you've worked with cloud services like GCP, Azure, or AWS, be ready to share your experiences. Highlighting your technical skills will reassure the interviewers that you can hit the ground running.
✨Emphasise Collaboration and Mentorship
Cognite values teamwork and mentorship, so be prepared to talk about your experiences working in cross-functional teams. Share examples of how you've supported colleagues or mentored junior team members. This will align with Cognite's culture of ownership and inclusivity, making you a more attractive candidate.
