Data Scientist

Job Description

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 non-technical 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 don't need to be perfect on day one.

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

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: [email protected]

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

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!