Data Science Working Student (f/m/d)

Um das zu erreichen, richten wir unser Handeln auf Nachhaltigkeit, Digitalisierung und Wachstum aus. Wir sind überzeugt, dass Unterschiede uns stärker machen und heißen alle Menschen in unserer inklusiven und vielfältigen Unternehmenskultur willkommen.

Zur Verstärkung unseres Teams der E.ON Group Innovation GmbH suchen wir dich zum nächstmöglichen Zeitpunkt als Data Science Working Student (f/m/d). Solltest du interessiert sein, bewirb dich bitte online.

• 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

• 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

• 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

Inklusion

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Wenn es dir nicht möglich ist, dich online zu bewerben und du stattdessen mit jemandem sprechen möchtest, kontaktiere bitte deinen lokalen Recruiter.