Master Thesis Student –PLM Data analytics and Data Science (Data + AI) (m/w/d)

Hilti (Canada) Corporation; Kaufering; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading company in construction seeks a working student to join their global consultancy team. You'll support digitalization efforts by developing data analytics and AI solutions, working with cross-functional teams to optimize engineering data management. This internship offers flexibility in duration and work environment.

Leistungen

Fitness and health programs

Qualifikationen

• Enrollment in Master’s program during the internship.
• Good knowledge of data management tools and analytics.
• Enthusiasm to learn and succeed in a team environment.

Aufgaben

• Collaborate to integrate advanced analytics into business processes.
• Manage and optimize data pipelines for efficient flow.
• Identify and implement innovative data-driven solutions.

Kenntnisse

Problem-solving

Communication

Independent working

Ausbildung

Master’s program in Data Science or related field

Tools

Power BI

Python

SQL

Microsoft Fabric

PyTorch

Numpy

Pandas

Jobbeschreibung

What's the role?

Making our operations more digital is a key element of Hilti's group strategy. Our department drives the digitalization program for our product base, supply, and product management processes. As a working student in our department, you'll be part of Hilti's global in-house consultancy team for product portfolio management. You will work on shaping data pipelines, developing, and implementing data analytics and AI solutions to optimize the management and utilization of engineering data of Hilti products.

Start date is flexible based on the student's availability, with a duration of at least 6-9 months. 50% remote work is possible within Germany.

What does the role involve?

• Collaborate with Product Development, Operational Excellence, Data Science, and IT teams to integrate advanced analytics into business processes
• Manage and optimize data pipelines for efficient and reliable data flow
• Work with cross-functional teams to identify and implement innovative data-driven solutions
• Maintain data integrity and ensure security across all platforms
• Provide technical support and guidance on data-related issues

What you need is:

• Enrollment in a Master’s program in Data Science or a related quantitative field such as computer science, mechanical engineering, mathematics, statistics, or physics for the entire internship duration
• Good knowledge of Power BI, scripting in Python or Spark; SQL is a plus
• Experience with SaaS platforms for data management and analytics (e.g., Microsoft Fabric) is preferred
• Knowledge or interest in Machine Learning, Data Analytics, Data Engineering
• Experience with deep learning and data analysis frameworks (e.g., PyTorch, Numpy, Pandas)
• Independent, structured, and reliable working style
• Strong problem-solving skills
• Enthusiasm to learn and succeed
• Excellent communication skills in English
• Knowledge of mechanical engineering, product lifecycle management, SAP is advantageous

Why should you apply?

We value a diverse team, which fosters a vibrant, innovative, and productive environment. No prior construction knowledge is required; we're more interested in your ability, commitment, and drive to succeed.

What do we offer?

Join a creative, interdisciplinary team and gain everything needed to develop and succeed during your studies. We also offer innovative benefits, including fitness and health programs.

At Hilti, integrity, courage, teamwork, and commitment are core values that we live daily. Our mission is "Making Construction Better," supported by a passionate, inclusive team and a performance-oriented culture.