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Location

Location
India
Region
Maharashtra
City
Pune
Career Area
IT, Software & Digital
Experience Level
Experienced Professionals
Job ID
WD-0041243

Description and requirements

Hilti is investing heavily in expanding its software and service portfolio and digitizing customer workflows. Our Business Unit Fastening & Protection Solutions (BU FPS) develops cutting-edge end-to-end solutions for structural connections, MEP supports, and fire protection. We see tremendous opportunities in leveraging data, advanced analytics, and Generative AI to automate and optimize design and engineering tasks for our customers (value engineering).

As a Data Scientist within the newly created Data & Analytics team of BU FPS, your primary responsibility will be to explore, analyze, and model complex datasets to deliver actionable insights and predictive capabilities that enhance Hilti’s customer-facing software and service solutions. You will design and implement advanced analytics approaches, train and validate machine learning models, and contribute to generative AI initiatives. Working closely with software and data engineers, ML specialists, and business stakeholders, you will ensure data-driven solutions are robust, scalable, and integrated into production systems to create measurable business impact.


Who is Hilti?

We provide leading-edge tools, technologies, software, and services for the global construction sector. Hilti is a multicultural workplace with some 30,000 people in more than 120 countries committed to global teamwork.

The IT department within Hilti is a truly global team with main hubs in Buchs (Switzerland), Kuala Lumpur (Malaysia), and Plano/Tulsa (USA). All locations have highly competent teams who work very closely together. Hilti’`s Global IT team is known for their focus on sustainable value creation by translating latest IT innovations into value creating solutions & services.

What does the role involve?

As a Data Scientist, you will play a key role in transforming data into actionable insights and advanced analytical solutions that drive innovation for Hilti’s customer-facing products and services. Your mission is to leverage statistical analysis, machine learning, and Generative AI to solve complex business problems, enable data-driven decision-making, and help our customers to become more productive. You will collaborate closely with business stakeholders, ML engineers, and data engineers.

The role will require you to:


  • Design and develop advanced analytics and ML models for both traditional and Generative AI use cases, including feature engineering, model training, evaluation, and interpretation.
  • Translate business challenges into data-driven solutions, applying statistical and machine learning techniques to deliver measurable impact.
  • Drive innovation and mentor others by exploring emerging ML and GenAI technologies, recommending enhancements to existing systems, and coaching junior team members to foster a culture of technical excellence.
  • Collaborate with ML Engineers to ensure models are production-ready and integrated seamlessly into customer-facing applications.
  • Work with Data Engineers to define data requirements and ensure high-quality, well-structured datasets for modeling and analysis.


Together with the team, you will deliver sustainable, data-driven solutions that support Hilti’s long-term goals while creating tangible short-term value for our customers.


CAREER - We want your thirst to learn, courage to challenge and desire to improve things, including yourself.

What do we offer?

We give you the autonomy to identify the right technology solutions for our customers. We also encourage you to grow, not only in this role, but also beyond - you will be able to move around the business, to experience various job functions and even work abroad in different markets.

Our IT department is located in Buchs SG, Switzerland in the beautiful and mountainous Rhine Valley. It is in convenient walking distance to the city center and train station as well as in close proximity to our corporate headquarters in Schaan, Liechtenstein.

As integral part of our performance oriented yet caring culture we want you to work your best. Offers such as flexible working/part time arrangements, comprehensive insurance and pension plans, day care for your children are just some of the ways we do that. Additionally, Hilti e-bikes are readily available for you to use free of charge! 

Enter the required profile: Why should you apply? What you need is 

Become a valuable member of our highly professional and international team of software experts and data scientists and meet the challenges of a global multinational company using latest technologies. You will have the freedom to act in the responsible area with career prospects in a dynamic environment, excellent opportunities to develop yourself to higher levels and wider range of knowledge Furthermore, 80% of our top positions are filled internally. We have a clearly defined career development track for every individual employee and an excellent team whom are duly rewarded by performance. 

What you need is:

  • A Bachelor’s orMaster’s degree in Computer Science, Data Science, Engineering, or a related field; preference for aMaster’sdegree.
  • Proven experience (5+ years) in applying advanced analytics and machine learning techniques to real-world business problems, ideally in cloud-based environments (AWS or similar).
  • Strongexpertisein data preprocessing, feature engineering, model development, and evaluation, including experience with LLM architectures, prompt engineering, and fine-tuning.
  • Hands-on experience with Generative AI frameworks (e.g.,LangChain, OpenAI API) and familiarity with integrating models into production systems via APIs.
  • Proficiencywith AWS services such as SageMaker, Bedrock, Glue, Athena, and Lambda for analytics and ML workflows.
  • Excellent problem-solving skills,strong communicationabilities in English, and the capability to collaborate effectively with cross-functional teams.
  • Ability to manage multiple priorities under tight deadlines while driving innovation and delivering measurable business impact.