Siemens Energy Graduate Program - Probabilistic Modelling Specialist (f/m/d)

Information générales

Enterprise Data & Advanced Analytics
Unité opérationnelle
Advanced Analytics & Artificial Intelligence
Temps plein / temps partiel
Temps plein
Niveau d’expérience
Siemens Energy Graduate Program – Probabilistic Modelling Specialist (f/m/d)

Whether you have just graduated or have had your first years of experience, you are our future leaders and innovators. That’s why we offer a world-class Graduate Program to help you reach your potential quickly. Learn from top-tier mentors, take advantage of training – and grow your career in any direction.

What You Can Expect

Over the course of two years, you’ll get hands-on experience, be actively integrated into the day-to-day activities of your teams, and gain a deep understanding of Siemens Energy. You'll rapidly build in-depth knowledge, discover solutions, and experience our business first-hand.

From day one, you will work on challenging projects with three individually-designed assignments, including one eight-month assignment abroad (Covid permitting). 

You will be assigned a mentor and will shadow a role or position to support you in reaching your individual career goals and network with peers and business leaders. You’ll also have access to the resources to help you grow.

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 will work on real global issues, creating solutions that directly make an impact.

What You Bring
  • Significant practical work experience up to 36 months including knowledge from internships, working student activities or employment is required. 
  • A master's degree, doctoral degree, or equivalent in Computer science, mathematics, physics, engineering or related. A PhD is considered a plus.
  • Minimum of 3 months of international experience gained through studying or working is required.
  • Excellent English acumen to work in a multi-cultural environment and be flexible and mobile during the program.
  • Hands-on experience in the field of statical modelling, numerical simulations, data science, or machine learning.
  • You have excellent analytical skills and profound expertise in statistical modelling (e.g. uncertainty quantification, failure analysis, maximum likelihood estimation, random fields).
  • You demonstrate excellent programming skills (e.g. C/C++, Python, R) and a good understanding of numercial and optimization methods.
  • Good to have: Experience in an industry-related environment (e.g. energy sector).
  • You have a strong customer focus and excellent communication skills along. You navigate easily in a global & multicultural environment.
  • You are an excellent team player and like to work in multi-disciplinary teams.
  • You are open-minded and willing to learn and constantly improve own skills.
  • You are passionate about data and analytics and driving data value across all parts of an organization and ecosystems.
  • You have excellent writing and communication skills in English, knowledge of German or any other language is a plus.

Your Tasks
  • As part of our global team, you work as a subject matter expert for developing advanced probabilistic solutions for applications along the value-chain.
  • You predict component reliability and develop novel modeling techniques to optimize product design and service concepts.
  • You support and coach the business in the application and implementation of new methods for probabilistic analysis, machine learning and optimization.
  • Your tools and methods are broadly applicable across various areas of the business.
  • You keep up to date with latest developments in physics-based modelling, advances statistics, and data science principles and theories to support the business in making truly data-driven decisions.
  • In a partner ecosystem you collaborate with universities, research institutes, and other industrial players and engage in joint research projects.
  • You document and share methods, processes and project results. You regulary communicate and present your findings.

General Engineering at 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. We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year. That way we not only contribute, but actively drive the energy revolution for a better and greener future. 

Check out this video to see what we do here! 

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 92,000 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.

Siemens Energy 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 at least 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.

We value equal opportunities and welcome applications from people with disabilities.

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