Data Scientist d/f/m

RWE Gruppe; Swindon; Hybrid; EUR 40,000 - 80,000; Full time

Job description

RWE Generation SE
To start as soon as possible, full time, permanent

We are looking for a Data Scientist to join the Data Science & AI Team within Generation Portfolio Management (GPM). In this role, you will play a key part in advancing the digitalisation of RWE Generation SE. As a Data Scientist, you will contribute to various digitalisation projects, working closely with business, IT, and OT specialists to unlock new data-driven value potentials. You will support RWE Generation SE in interpreting and managing data to solve complex business challenges. Your expertise in a wide range of data-driven technologies will be applied across different business areas (biomass, gas, hydro/storage, hydrogen, and management & support functions). Data Science and AI skills are essential to delivering top performance in the new energy world - shaping these capabilities will be an important part of your role.

About the role

• Become a thought leader on the value of data and the use of advanced data analytics.
• Develop data-driven strategies and solutions for business challenges.
• Extract and analyse large datasets to identify trends and patterns.
• Assess data quality, clean and optimise data.
• Design, deploy, evaluate, and manage data models using machine learning algorithms to support business decision-making.
• Create visualisations and result reports for stakeholders.
• Collaborate with operations, engineering, product development teams, and other stakeholders.

Job requirements and experience

• University degree in Computer Science, Engineering, Mathematics or comparable.
• Strong foundation in mathematics, data science, modelling, and analytics.
• Proven work experience as a data scientist working with Python (optional R or Java) with Frameworks like Pandas, NumPy, SciPy, scikit-learn, PyTorch, Tensorflow, XGBoost, etc.
• Knowledge in state-of-the-art Machine Learning Methods, Data Science Tools, and Cloud Technologies (ideally MS Azure).
• Basic knowledge on databases and data pipelines (SQL, MongoDB, Apache Spark, Azure ML Workspace, etc.).
• Strong problem solving, communication and visualisation skills.
• Agile and collaborative mindset and business fluent in English; knowledge of German or Dutch desirable, but not a must.

RWE is committed to creating a diverse and inclusive environment – we value your passion, your willingness to learn and your desire to thrive. So, if you don’t display all the skills above but think this is the job for you, need flexible working arrangements or adjustments which aren’t outlined already, we would still like to hear from you.

What we offer:

• Independent, responsible, and flexible work with the freedom to develop and implement ideas and innovations.
• A diverse team with a strong collaborative spirit in a dynamic and international work environment.
• Flexible work options both in the office and from home (Hybrid Working).
• Various qualification and development opportunities for professional and personal growth.
• Attractive remuneration and additional benefits, such as employer-funded pension plans and employee discounts.

Apply with just a few clicks: ad code 89761, application period: 11.05.2025
Any questions: Contact HR: Nuria Hetschel, [phone]

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters