Data Science Working Student (f/m/d)

At E.ON's Future Lab, we develop and incubate inventions and intellectual property from emerging digital technologies in the areas of robotics, industrial IIoT and AI that enable a sustainable energy future. With a multidisciplinary team consisting of experts in the areas of Energy-, Electronics- and Electrical Engineering, Computer- and Data Science, as well as Digital Innovation Management, we discover radical, technology-oriented innovation opportunities, transform them into viable use cases, test them via prototypes and MVPs (both software and hardware); and eventually reintegrate them into the business or spin them off for external commercialization.

At Future Lab, we think that innovation nowadays happens in ecosystems. Therefore, we join forces not only internally but also with academia, startups and companies across industry, operating in an ecosystem that together is stronger than the sum of its parts. Doing so, we facilitate the exchange of knowledge and push the development of technology, from which we derive solutions that have a high impact for us, our customers and more importantly, society as a whole.

Your responsibilities

• Identify, analyze, and translate business needs into conceptual, logical, and physical data models

• Evaluate cutting-edge ML/AI models in academic papers for energy applications, and communicate findings to shape project strategies.

• Support the development, implementation and deployment of state-of-the-art ML/AI models and technologies in digital pipelines together with IoT, Data and ML Engineers

• Contribute to the venturing of innovative R&D projects, from elaboration of technical ideas and concepts, through development of integrated hardware- and software prototypes and business development

• Work in a cross-functional team, and communicate effectively technical requirements and business interdependencies across engineering- and management disciplines

• Keep yourself ahead of emerging technologies, state of the art components and best practices in the areas of robotics, industrial IoT and AI in energy industry

Your profile

• Advanced bachelor- or early master studies in the field of computer science, mathematics, data science or equivalent

• Good knowledge in programming skills, especially Python. Familiarity with Matlab would be a plus

• Experience with data science tools and libraries: NumPy, SciPy, Matplotlib, Scikit-learn, PyTorch (or equivalent), Jupyter Notebooks.

• Well-founded knowledge on Object Oriented Programming, and Software Engineering

• Experience with version control system git and platforms such as GitHub or GitLab

• Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization

• Desired but not required, experience in formulating and solving optimization problems with python libraries such as pyomo or similar tools

• Sound Knowledge about Signal Processing especially convolutions, fourier transform

• Desired but not required, experience with DevOps, CI/CD pipelines or Docker desirable. Knowedge on MLOps, and model registry would be even better

• Well-founded knowledge about the energy industry, its mechanisms, and challenges; professional experience in the energy industry is a plus

• An experimental and entrepreneurial mindset and a desire to build things from scratch or optimize ones that already exist

• Outstanding communication, and documentation skills with the ability to communicate complex technical ideas, regardless of the technical capacity of the audience

• Passion for technology and the inner desire to solve problems and move things forward

• Fluent in spoken and written English; German is a plus

Our Benefits

• We give you flexibility: Thanks to our flexible working hours, you can easily balance your university life and your job.

• We value your contribution: We support your financial independence with a competitive salary.

• Recharge your batteries: With us, you have 30 days of vacation per year (Christmas and New Year's Eve are always free).

• Your further development: We are growing - and want you to grow with us. We offer you interesting and varied tasks and many options for a future job after graduation.

• And that's not all: We will be happy to discuss all other benefits with you in the recruiting process

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