11 часов назад
Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI) (Python/SQL): Developing and deploying scalable data science and machine learning solutions for industrial customer use cases with an accent on exploratory data analysis, physical models, and GenAI. Focus on operationalizing models in Python, building web applications with AI agents, and solving complex data challenges with customers across energy, manufacturing, pharma, and life sciences.
Location: Norway (Oslo)
Company
builds AI and data solutions for industrial digitalization, helping heavy-industry customers improve operational efficiency and sustainability.
What you will do
- Develop and deploy scalable data science solutions for use cases in oil and gas, energy, manufacturing, pharma, life sciences, and power and utilities.
- Lead and contribute to use case generation workshops with subject matter experts and customers.
- Clean and analyze complex industrial data through exploratory data analysis.
- Implement physical and machine learning models in Python and deploy them to the model hosting environment.
- Apply GenAI techniques and develop web applications on Data Fusion with AI agents.
- Collaborate with data engineers, solution architects, project managers, customers, and partners on project deliveries.
Requirements
- Bachelor’s degree in computer science, engineering, data science, data analytics, statistics, applied mathematics, or a related quantitative field.
- 1–3 years of relevant experience as a data scientist.
- Proficiency in Python, SQL, and AI IDEs such as Claude Code and Cursor.
- Experience with machine learning methods, statistics, and/or optimization, as well as Git.
- Experience working directly with external customers.
- Ability to work effectively in cross-functional teams, share knowledge, and approach complex challenges with ownership.
Culture & Benefits
- International organization with employees representing 60 nationalities and a focus on diversity, equality, and inclusion.
- Flat structure with direct access to decision-makers and collaboration across ambitious industrial technology projects.
- Private health services through Care and a broad mental and physical health offering.
- Free membership at the fully staffed on-site gym.
- Subsidized canteen lunch and access to an on-site coffee bar.
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