Siemens Energy Graduate Program

Siemens Gamesa
3 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Data Visualization
Python
NumPy
Power BI
Tableau
Pandas
Matplotlib
Scikit Learn
Information Technology

Requirements

Whether you're a recent graduate or have a few years of experience, you are the future of innovation and leadership. That's why the global Siemens Energy Graduate Program can help you unleash your full potential. With guidance from experienced mentors, extensive training opportunities, and the chance to expand your global network, you will grow both your career and your personal capabilities. What You Can Expect Over two exciting years, you'll gain hands-on experiences and become an active part of your team's daily activities. Through impactful projects in three customized assignments- including an eight-month international placement-you'll gain a deep understanding of Siemens Energy. A dedicated mentor will support you every step of the way, giving you the chance to explore different roles, engage in immersive experiences, and build a strong network with peers and industry leaders. Role Overview We are seeking a high-potential Management Trainee to support the Strategy Implementation function by combining data science capabilities with strong business and financial acumen. This role sits at the intersection of strategy execution, advanced analytics, and performance management, enabling data-driven decision-making for senior leadership and accelerating the delivery of key transformation initiatives. How You'll Make An Impact As part of our Graduate Program, you are on the Siemens Energy team. You'll share our purpose in energizing society by supporting customers with transitioning to a more sustainable world and work on real global issues, creating solutions that directly make an impact. What You Bring - Strong proficiency in Python (pandas, numpy, scikit-learn) or similar - Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn) - Relevant experience through internships and/or working student roles is essential; additional permanent work experience of up to 36 months is welcome - A master's or doctoral degree in Data Science, Statistics, Computer Science, Engineering, Finance, Economics, or related field - Minimum of 3 months of international experience gained through studying or working - Excellent English skills to engage in a multicultural environment, with flexibility and willingness for international travel

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