Siemens Energy

Attention innovative and enthusiastic students! Are you looking for an exhilarating summer internship that challenges and cultivates your skills? Join our dynamic team for an immersive experience, combining hands-on learning with real-world projects. Work alongside industry professionals, gaining insights into potential career paths. We value new perspectives and innovative ideas, offering a vibrant environment for you to make a significant impact. Don't miss the chance to make this summer unforgettable! Apply now to jumpstart your career. The summer period runs from June 1st to August 31st, and you can apply for the entire duration or specific parts. Please include your preferred period in your application.

How You’ll Make an Impact

• Analyze and model our products and processes using various data types (images, time series, PDFs, text, etc.) to drive product improvement, automate processes, and innovate future energy solutions.
• Following initial introduction and support during the internship, you should be able to learn independently and demonstrate self-sufficiency and initiative.
• Code and understand the fundamentals of programming (For loops, OOP, data structures).
• To be able to use and learn in a self-sufficient way; R library: data.table, tidymodels, tidyverse, ggplot2, odbc, DBI.
• To be able to use and learn in a self-sufficient way Python; Pandas, NumPy, scikit-learn, matplotlib/plotly/seaborn, sqlalchemy.

What You Bring

• The roles within data /computer science are suitable for students with academic background in data science, energy systems, industrial engineering, computer science, mathematics or another relevant field.
• As a student, you have strong analytical skills and solid mathematical background.
• You are interested in data analytics (especially in prescriptive analytics) and hold good programming skills (preferable: Python, R or Julia)
• The following skills are meritorious: Knowledge of machine learning oriented libraries (scikit-learn or caret), data handling libraries (Pandas or tidy verse), Generative AI and Large Language Models, SQL and data visualizations, Machine Learning IDEs specially AWS SageMaker Studio.
• Basic knowledge of mathematical optimization packages as: ROI (R), Pyomo (Python), PuLP (Python), JuMP (Julia) or CVX (Matlab).

Your opportunities for personal growth

• A phenomenal opportunity to learn from, and work in, a global organization
• Development of your talent and potential
• Innovative and diverse work culture

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Application

Don’t hesitate – apply via https://jobs.siemens-energy.com/en_US/jobs id nr 269278 no later than 2025-02-28.

Ongoing selection is applied, the role might be filled before last application date.

For questions about the recruitment process please contact the responsible recruiter Ermina Imamovic on ermina.imamovic.ext@siemens-energy.com

We refrain from all contact with staffing and recruitment companies, or advertising brokers.

Location: Finspång

Trade Union Representatives:

Unionen, unionen.finspang.se@siemens-energy.com

Sveriges Ingenjörer & SACO, asi.se@siemens-energy.com

Ledarna, Jan Lundgren jan.h.lundgren@siemens-energy.com

IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com

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