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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

16Open Positions

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  • Intern - Data Science - Global IT (m/f/x)

    Hilti CZ
    Buchs, Switzerland
    Found 1 month ago
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    Found 1 month ago
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    TRUMPF
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    Found 1 month ago
  • Internship | Integrated Antenna in Advanced Packaging for Short-Range Data Transfer

    TNO
    Den Haag, Netherlands
    Found 1 month ago
  • Summer Internship: RF Measurements (m/f/d)

    NXP Semiconductors
    Gratkorn, Austria
    Found 1 month ago
  • RF Engineering Internship

    Cambridge Consultants
    Cambridge, United Kingdom
    Found 2 months ago
  • Testingenieur Hochfrequenz-Elektronik (m/w/d)

    WORK Microwave
    Holzkirchen, Germany
    Found 2 months ago
  • Internship | MSc. graduation project: Susceptibility of RF components to high power electromagnetic radiation

    TNO
    Den Haag, Netherlands
    Found 2 months ago
  • Intern - RF Design and Communication System Analysis (m/f/d)

    Huawei Austria
    Munich, Germany
    Found 2 months ago

Intern - Data Science - Global IT (m/f/x)

Hilti CZ
Found 1 month ago
Location
Buchs, Switzerland
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • cloud platforms (Azure or AWS)
  • software engineering practices
  • architecture basics
  • version control
  • CI/CD
  • statistical or machine learning models

Soft Skills

  • Strong communication and presentation skills
  • ability to explain complex analytics to non-experts
  • strategic mindset
  • problem-solving approach
  • curiosity
  • willingness to learn quickly

Job Description

At Hilti, our Data Science Interns turn complex data into meaningful insights that power our digital products and customer experience. In this role, you’ll design experiments, build models, and work hands-on with large-scale data to shape real business decisions. Embedded in a highly skilled engineering community, you’ll gain end to end exposure, from hypothesis testing to production-ready solutions, without the typical barriers of slow processes or limited impact. This internship position has a flexible start date and runs for 6 months. What You'll do As a Data Science Intern, you’ll work at the intersection of advanced analytics and real-world business needs. You will participate in discovery phases to understand business requirements, identify data-driven opportunities, and translate them into actionable use cases. Your daily work involves designing experiments, testing hypotheses, and developing statistical or machine learning models using Python. You’ll be embedded in an experienced team of data engineers and data scientists, benefitting from pair programming, version control, and a fully established CI/CD environment. You’ll work with diverse data sources-internal, external, structured, and unstructured-and assess what is relevant for each use case. You will help shape strategies for data collection, integration, and retention, and will collaborate closely with domain experts across the company. A key part of the role is communicating complex insights into clear, business-friendly language. You’ll support stakeholders in adopting data science methods, run statistical validations, and guide teams through agile delivery using Scrum. Throughout your internship, you’ll contribute to impactful, production-oriented solutions that enable better decisions across Hilti’s digital business.

Requirements

  • Bachelor’s or Master’s studies in Data Science, Computer Science, Engineering, Mathematics, Physics, Statistics, or similar.
  • Hands-on experience with Python and SQL; familiarity with cloud platforms (Azure or AWS).
  • Basic knowledge of software engineering practices (architecture basics, version control, CI/CD).
  • Strong communication and presentation skills, with the ability to explain complex analytics to non-experts.
  • A strategic mindset and problem-solving approach, with curiosity and willingness to learn quickly.

Related Field

  • Data & Analytics

Related Subfield

  • Data Science
▶Apply Now

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