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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

2Open Positions

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  • Intern – Data Scientist – Fastening & Protection Solutions (m/f/x)

    Hilti Schweiz
    Schaan, Liechtenstein
    Found 1 week ago
  • Site Reliability Engineer – Fintech

    Quant Capital
    Wimbledon, United Kingdom
    Found 2 months ago
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    Criteo
    Paris, France
    Found 3 months ago

Intern – Data Scientist – Fastening & Protection Solutions (m/f/x)

Hilti Schweiz
Found 1 week ago
Location
Schaan, Liechtenstein
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • machine learning
  • data preprocessing
  • model evaluation
  • LLMs
  • Generative AI
  • Python
  • AI/ML frameworks
  • LangChain
  • cloud concepts
  • AWS
  • SageMaker
  • Bedrock

Soft Skills

  • Strong analytical thinking
  • good communication skills
  • ability to collaborate effectively in a team environment

Job Description

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.

Requirements

  • 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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
▶Apply Now

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