Data Scientist – AI for Sustainable Energy (Hybrid)

Vattenfall; Noord-Holland; Hybrid; EUR 54,000 - 68,000; Full time

Benefits offered by this job

Holiday allowance

End-of-year bonus

Profit sharing

Pension plan

Health insurance discount

Job summary

Vattenfall is seeking a Data Scientist to develop data science and AI solutions that support both customer-focused and business value initiatives. You will work on marketing, sales, customer journeys, service and digitization with a strong emphasis on data-driven decision making.

As part of the Data & Analytics team, you will handle end-to-end ML workflows, collaborate with analytics translators, engineers and other data professionals, and ensure solutions are reliable, privacy-conscious and

Qualifications

• Academic degree with strong quantitative component (e.g., Mathematics, Physics, Econometrics).
• Professional Data Scientist experience applying ML to real problems.
• Clear written and spoken English; Dutch a plus.

Responsibilities

• Develop data science solutions from idea to implementation using ML and Generative AI.
• Build and evaluate reliable AI/ML solutions with privacy and bias considerations.
• Write production-quality, reusable, testable code with Git, reviews and CI/CD.
• Collaborate with Data & ML Engineers to ensure reproducibility and deployment support.
• Explain models and results clearly to non-technical stakeholders and iterate based on feedback.

Skills

Python

Machine learning

Distributed computing

Generative AI

DevOps CI/CD

English communication

Education

Math/Physics/Econometrics degree

Tools

LLM APIs

Git

CI/CD tooling

Job description

Vattenfall is seeking a Data Scientist to develop data science and AI solutions that support both customer-focused and business value initiatives. You will work on marketing, sales, customer journeys, service and digitization with a strong emphasis on data-driven decision making.

As part of the Data & Analytics team, you will handle end-to-end ML workflows, collaborate with analytics translators, engineers and other data professionals, and ensure solutions are reliable, privacy-conscious and