Data Scientist

We are now looking for a

Data Scientist

located in our office in Berlin Hamburg or Hohenwarte.

As a Data Scientist you will transform complex datasets into meaningful actionable insights. You will work hands-on with our data platform build analytical solutions and partner closely with business teams Data Engineers Architects and fellow Data Scientists. Your work directly supports operational excellence commercial outcomes and our long-term sustainability goals.

If you enjoy tackling real-world challenges asking critical questions and taking ownership from idea to impact you will thrive with us.

Your Responsibilities

• Deliver high-quality analyses and insights that support operational commercial and strategic decisions quality analyses and insights that support operational commercial and strategic decisions.
• Collaborate closely with business stakeholders embedding yourself in their workflows and understanding their challenges.
• Communicate insights clearly to both technical and nontechnical audiences using strong storytelling skills.
• Identify and integrate new data sources features and analytical methods to enhance our models and insights.
• Work with Data Engineers and Architects to ensure data quality availability and robust solution design.
• Apply statistical techniques and advanced analytics to uncover patterns trends and optimization potential.
• Create meaningful visualizations dashboards and interactive analytical tools.
• Conduct ad-hoc analyses to support time-sensitive decisions.
• Ensure data accuracy through validation documentation and quality checks.
• Automate recurring analytics tasks to increase efficiency and reproducibility.
• Follow data protection regulations and ethical data use practice and protection regulations.
• Prioritize and manage multiple projects in a dynamic environment.

Qualifications :

• Degree in a quantitative field (e.g. Data Science Engineering Mathematics Statistics) or equivalent practical experience.
• Strong practical experience with SQL and Python for end-to-end data processing and analysis; familiarity with distributed computing (e.g. Spark) is beneficial.
• Solid grasp of statistical methods and their practical application.
• Strong analytical mindset with the ability to explore data identify patterns and derive actionable insights.
• Understanding of machine learning workflows (feature engineering model training validation deployment monitoring) is a plus.
•  Familiarity with front-end frameworks (Angular/React) is a plus but not required.
• Curiosity about generative AI and automation techniques to accelerate analysis and boost productivity.
• Interest or experience in energy systems asset optimization or energy markets is advantageous.
• Excellent communication skills with the ability to translate complex topics for diverse audiences.
• Strong business acumen - connecting analytical findings to business objectives.
• Experience with requirements engineering and translating stakeholders needs into actionable specifications for your analysis
• Collaborative mindset with a willingness to share knowledge and support colleagues.
• Proactive solution-oriented approach with high attention to detail.
• Ability to adapt to changing data sources priorities and business needs.
• Strong time management skills and ability to work independently.
• Commitment to ethical data practices and data privacy.

If you meet around 70% of the requirements we still want to hear from you. We value potential and curiosity. Please be honest about your experiences / qualification. Continuous learning is part of our culture you dont need to be perfect on day one.

Zusätzliche Informationen :

What We Offer

• A mission-driven role where your work contributes to the energy transition
• Competitive compensation (70 90 kEUR yearly salary) and a modern international work environment
• 37h/week 30 days of vacation
• Hybrid work and up to 20 days per year of work-from-abroad
• Employer-subsidized public transport and JobBike
• State-of-the-art office spaces
• Company pension scheme
• Budget for fitness and health

More Information 
We welcome your application in English no later than 23.03.2026. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. 

For more information about the position please contact hiring manager Philipp Cüppers via email:

For more information about the recruitment process you are welcome to contact our recruiter Elias Erdmann via email:  

At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender ethnicity age transgender identity or expression religion or other belief disability or sexual orientation.

The security of Vattenfall and its employees is essential. For that reason a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party DISA. 

We look forward to receiving your application! 

Remote Work :

No

Employment Type :

Full-time