Summer Intern within Data & Computer Science

Summer Intern within Data & Computer Science

Arbetsbeskrivning

Summer Intern within Data & Computer Science

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

* Deal with any kind of data, structured or unstructured (Images, time series, pdf and text etc.).
* Be able to learn by yourself; selfstarter, “Selfgoing” self sufficient.
* 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) 
* We consider meritorious skills the knowledge of machine learning oriented libraries (scikit-learn or caret), data handling libraries (Pandas or tidy verse) and 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. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.

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://bitly.ws/ZFwV

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 254196 not later than 2024-03-03.

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

For questions about the recruitment process please contact the responsible recruiter Heddi Esfandiyari on Heddi.esfandiyari.ext@sieme...

Sammanfattning

  • Arbetsplats: Siemens Energy
  • 1 plats
  • 11 dagar - upp till 3 månader
  • Deltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 26 januari 2024
  • Ansök senast: 3 mars 2024

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