Data Science Working Student (f/​m/​d)

  • E.ON Group Innovation GmbH
  • Hybrid, Fixed-term contract
  • Part time
This job

E.ON Group Innovation GmbH

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.

Data Science Working Student (f/m/d)

Location: Munich, Bavaria, Germany
Applications can only be submitted online via our portal. Please understand that we cannot consider applications that reach us by e-mail.

Job description

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

Inclusion

It is important to us that people with disabilities have access to a fair application process, providing them with an opportunity to shine. Therefore, our representative body for severely disabled people will be included in the process from an early stage. Please let us know via the application form if you require technical or organisational adjustments during the application process. We will strive to make the required aids available.

Should you not be able to apply online and want to speak someone in person, please contact your local recruiter.

What else you should know:

Type of contract:Fixed-term contract
Employment type:Part time
Work Model:Hybrid
Company:E.ON Group Innovation GmbH
Job number:233706

As long as the position is advertised on our careers page, we are looking for suitable candidates (f/m/d). We look forward to receiving your application!

Any questions?

Ramiya Kamalanathan will be happy to answer any questions you may have by e-mail. Unfortunately, we cannot consider applications sent via email. Thank you for your understanding!

As long as the position is advertised on our careers page, we are looking for suitable candidates (f/m/d). We look forward to receiving your application!

Recruiter

Application process

Depending on the company and position, the process may vary. So we are providing you with an exemplary overview of the possible steps involved. Your recruiter can help you with any additional questions you may have.

  • Online application

    Your online application is the first step of the application process. All jobs are advertised in our career portal. Create an application profile – it will only take about two minutes and can open the door for you to jobs in all E.ON Group companies worldwide. All applications for advertised jobs at E.ON must be made online.

  • Interview

    In the interview, we get to know each other better. Tell us about yourself and ask us anything that is on your mind: about the position, the team or generally about E.ON as an employer. The interview will take place either in person or online. We look forward to meeting you.

  • Contract and onboarding

    Welcome to the team! We want to make sure that you'll find your way around the company quickly. During your onboarding you’ll learn everything you need to know about E.ON and your new work environment.

We value and foster diversity

Society is diverse – just like our workforce. We’ve proved that fresh ideas and perspectives always emerge when an exciting blend of different people work together. That's why we work hard to become a diversity pioneer.


In 2008, we signed the German Diversity Charter. We are also a member of numerous national and international networks and initiatives that deal with various aspects of diversity.


And we also promote an inclusive culture internally. To name just two examples: In Germany, we run a mentoring programme to prepare female employees for leadership positions. We also launched the CEO Awards for Diversity & Inclusion in 2018. The awards support people and activities at E.ON who are committed to diversity and inclusion.

Behind the scenes

At E.ON we are convinced that good energy connects. Get to know the people at E.ON, find out what we stand for and what topics you can work on with us.

Nico, Head of Sales E-Mobility at E.ON Drive

Nico started with us as a trainee in 2007 - today he heads the e-Mobility Sales Team. In the video, he talks about his career and reveals tips for your career.

Kununu

We have already received several awards for our commitment as an employer - including in the areas of women and family friendliness and as a "Top Company" from the employer rating platform kununu.

Hybrid Working

For the most part, we have a hybrid working model in place where we work partly in the office and partly from home, depending on the task. This supports your work-life balance and protects the environment. We value personal exchange just as much as digital opportunities for collaboration, and we’ll provide you with the equipment and digital tools you need to do your job well. Please contact your recruiter to learn more about the working options of your desired position.

E.ON is one of Europe's largest operators of energy networks and infrastructure and a provider of innovative energy solutions for around 48 million customers. Around 74,000 employees are constantly working to digitize the energy world, achieve net zero and connect everyone to good energy. To achieve this, we are focusing our actions on sustainability, digitalization, and growth. We strongly believe that differences make us stronger and welcome all people into our inclusive and diverse culture.

Together into a green energy future

What makes E.ON stand out as an employer

  • Sense of purpose

    Together we pave the way for the green energy transition in Europe and enable society and our customers to become C02-neutral.

    Together we pave the way for the green energy transition in Europe and enable society and our customers to become C02-neutral.
  • Sustainability

    We make energy cleaner and smarter, giving our customers access to a sustainable supply of electricity and heat.

    We make energy cleaner and smarter, giving our customers access to a sustainable supply of electricity and heat.
  • Winning culture

    We promote an inclusive culture where everyone feels valued and where everyone can reach their full potential and make a meaningful contribution to E.ON's success.

    We promote an inclusive culture where everyone feels valued and where everyone can reach their full potential and make a meaningful contribution to E.ON's success.
  • Recognition

    We value the contribution of each individual. We recognise individual achievements and reward the successes we deliver as a team.

    We value the contribution of each individual. We recognise individual achievements and reward the successes we deliver as a team.
  • Work Life Balance

    Family or career? It doesn’t have to be either/or. Whether flexitime, part-time or hybrid working: At E.ON, you will find the right model for every life situation.

    Family or career? It doesn’t have to be either/or. Whether flexitime, part-time or hybrid working: At E.ON, you will find the right model for every life situation.
  • Health

    Benefit from our wide range of health and well-being offers and take advantage of preventative activities.

    Benefit from our wide range of health and well-being offers and take advantage of preventative activities.
  • Network

    Joining E.ON opens the door to countless opportunities – regionally and internationally.

    Joining E.ON opens the door to countless opportunities – regionally and internationally.
  • Development

    Whether you're looking for a specialist or management career, our individual training programmes will help you develop both professionally and personally.

    Whether you're looking for a specialist or management career, our individual training programmes will help you develop both professionally and personally.
  • Onboarding

    We’ll help you learn everything you need to know about E.ON and your new working environment – making your start at E.ON easy.

    We’ll help you learn everything you need to know about E.ON and your new working environment – making your start at E.ON easy.

Data Science Working Student (f/m/d)

E.ON Group Innovation GmbH

Munich, Bavaria, Germany

The most important information at a glance

Employment typePart time
Type of contractFixed-term contract
Work ModelHybrid
CompanyE.ON Group Innovation GmbH
Job number233706
Contact

Ramiya Kamalanathan

ramiya.kamalanathan@eon.com

Inclusion

It is important to us that people with disabilities have access to a fair application process, providing them with an opportunity to shine. Therefore, our representative body for severely disabled people will be included in the process from an early stage. Please let us know via the application form if you require technical or organisational adjustments during the application process. We will strive to make the required aids available.

Register and apply

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