Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Fall 2026 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

• Currently enrolled as an undergraduate student at an accredited university
• Legally authorized to work in the United States without the need for current or future sponsorship by the company
• A minimum 3.0 GPA

Perks:

• Employee discounts at our top customer sites
• Networking with our global leaders
• Mentorship from senior employees
• Individual career development planning
• Professional and technical workshops
• Paid volunteer time off
• Energetic student community
• Leadership opportunities
• Potential for full-time offers after university graduation and completion of the program

Position Overview & Key Responsibilities:

As a Data Science Intern, you will have the opportunity to work on a broad range of challenges including user behavior analysis, lifetime value estimation, retention modeling, ad targeting and optimization. You will uncover insights from large-scale datasets and help drive data-informed product and business decisions.

The role offers hands-on experience with real-world data at scale, building analytical solutions, and exploring how users interact with our platform. We are looking for curious problem solvers who enjoy learning, thinking critically, and turning data into meaningful insights.

Requirements:

• Currently pursuing a Master's degree in Statistics, Data Science, Machine Learning, or a closely related quantitative discipline; preferably a PhD student in Statistics, Data Science, Machine Learning or related quantitative discipline
• Strong theoretical foundation in statistical principles and machine learning algorithms
• Proficiency in Python and SQL for data manipulation and analysis
• Hands-on experience in developing, training, and evaluating machine learning models
• Passion for solving real-world problems
• Research background related to web analytics, digital advertising, or search engine optimization is preferable
• Experience with distributed computing frameworks like Hadoop, Spark, or Scala is a plus

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