Job summary
A Senior Data Scientist position within the industrial digitalization sector, focusing on developing AI and data-driven solutions for complex challenges in Energy, Manufacturing, and Utilities. The role involves collaboration with cross-functional teams to deploy scalable machine learning models and digital tools that optimize industrial operations.
Location and work setup
- Location
- Oslo
- Work setup
- On-site
Responsibilities
Lead design and implementation of scalable data science solutions across sectors such as Oil & Gas, Manufacturing, and Power & Utilities. Conduct workshops with experts to translate business problems into data science use cases. Perform data cleansing, exploratory analysis, and develop physical/machine learning models using Python. Deploy models in cloud environments and integrate generative AI techniques to enhance decision-making. Develop web applications on the company’s industrial data platform with AI agent assistance. Collaborate closely with data engineers, solution architects, and project managers to deliver impactful projects and support customers in utilizing data science capabilities effectively.
Qualifications
Bachelor's or Master's degree in a quantitative field or relevant engineering disciplines. At least 6 years of professional data science experience, preferably in industrial or energy-related sectors. Proficient in Python and SQL, with experience in production Python code. Knowledgeable in machine learning methods, statistics, and optimization. Experience with Git and customer-facing roles. Familiarity with managed cloud services (e.g., GCP, Azure, AWS) is advantageous. Ability to work independently, mentor colleagues, and thrive in cross-functional teams. Domain knowledge in Oil & Gas or industrial asset performance management is a plus.