Hilti is expanding its digital software and services. As a Data Science Intern in BU Fastening & Protection Solutions, you’ll analyze complex data, build predictive and generative AI models, and enhance engineering workflows. Working with stakeholders, you’ll help create scalable, data‑driven solutions that improve customer-facing products and deliver real business impact.
This internship position has a flexible start date and runs for 6–12 months.
As a Data Science Intern, you will help transform data into actionable insights and advanced analytics that power innovation across Hilti’s customer-facing products and services. Your mission is to apply statistical analysis, machine learning, and Generative AI to solve complex business problems, boost data‑driven decision‑making, and increase customer productivity. You will design and build advanced analytical and ML models - from feature engineering to interpretation - and translate business challenges into impactful data solutions. A key part of the role involves exploring emerging ML and GenAI technologies. You will collaborate closely with other Data Scientist and ML Engineers to ensure models are production-ready and seamlessly integrated into applications, and with Data Engineers to define data needs and secure high‑quality datasets. Together with the broader team, you will deliver sustainable, scalable, and value‑adding data solutions that support Hilti’s long‑term strategic goals while creating tangible results for customers.
Join a highly professional, international team using the latest technologies, with the freedom to shape your area of responsibility and strong career growth opportunities. With most top roles filled internally and a clear development path, you’ll be supported, challenged, and rewarded for high performance.
- Currently pursuing a Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- Foundational experience with machine learning, data preprocessing, and model evaluation, with interest in LLMs and Generative AI.
- Hands‑on skills in Python and common AI/ML frameworks, plus curiosity to explore tools like LangChain.
- Familiarity with cloud concepts (AWS or similar) and willingness to learn services such as SageMaker or Bedrock.
- Strong analytical thinking, good communication skills in English, and the ability to collaborate effectively in a team environment.
We really value our people, and we've worked hard to develop a reward package that reflects this, creating your future to be just how you would want it. Some of our benefits include:
- Connection with a diverse community of over 2,100 colleagues from 70 nationalities in a region where Liechtenstein, Austria, and Switzerland intersect.
- Employee groups actively supporting causes like female empowerment and the LGBTQIA+ community.
- Leisure activities like mountain biking and tennis.
- Opportunities for community engagement both locally and internationally.
- Shared e-bikes, an on-site gym, dining options, learning opportunities, free parking, fuel discounts, meditation/ relaxation rooms, and Hilti tool rental service.
Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we’re driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you’ll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you’ll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork.
At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together.
Hilti is an equal opportunity employer.
