Intern or thesis student - Data Science (m/f/x)

 

What's the role?

In the role of a Data Science intern, you will collaborate with our Data Engineers on advanced statistical modelling. Hilti has a tremendous wealth of external and internal data. We are using it to bring our customer relationship to another level as well as to develop advanced tools and services based on tool data. The Data Science team is highly technical and at the same time at the core of Hilti's digital business.

Start date is flexible to the student's availability, duration: at least 6 months

Who is Hilti?

We provide leading-edge tools, technologies, software and services for the global construction sector. Hilti is a multicultural workplace with 127 different nationalities committed to global teamwork.

Global IT 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 Science intern, you will be involved in the discovery processes to identify the business requirements and business opportunities. To do so, you design experiments, test hypotheses, and you develop and program models. Your internship will contain a big amount of coding and programing. We work mostly with Python and you will be embedded in a team of experienced programmers, benefitting from pair programming, version control systems and a fully established CI/CD chain. You work in agile, iterative processes, conduct advanced data analysis, and implement complex statistical algorithms. In close cooperation with our experienced business analysts you model and frame business scenarios that are meaningful and which affect critical decisions and business processes.

You identify what data is available and relevant, including internal and external data sources, structured and unstructured data, leveraging new data collection processes such as smart meters and connected tool information. You collaborate with global subject matter experts to select the most relevant sources of information.

You will prepare in your internship strategic recommendations on data collection, integration, and retention requirements. You communicate and present the rationale of your findings in easy-to-understand terms to your business stakeholders. You instruct the organization both from an IT as well as business perspectives on new approaches, such as testing hypotheses and statistical validation of results. Based on this, you help the organization to understand and adopt the principles of Data Science and the mathematics in order to develop organizational buy-in.

PEOPLE - Many of our people say they felt at home as soon as they arrived at their interview with us.

What do we offer?

We'll give you the tools you need to excel in your internship, including one-to-one coaching. You'll enjoy a rare combination of autonomy and camaraderie, as you'll manage your own project while being part of a friendly team.

You'll not just be another pair of hands but a fully integrated team member with lots of self-responsibility. From there, we'll trust you to do whatever it takes to deliver outstanding results. Go the extra mile and we'll reward you with strategic development discussions and career opportunities.

We'll support you even before you start with us through relocation and integration support. With the international interns community at Hilti you'll never be bored. Further, the snow-draped mountains, crystal-clear lakes and marvelous landscapes in the Happy Valley invite for lots of outdoor activities.
What you need is:

  • You study Data Science or a quantitative subject such as computer science, engineering, mathematics, statistics, physics, or related fields
  • You have a passion for mathematics and deep knowledge of statistical techniques and experience using machine learning algorithms. You have knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • You have experience with cloud platforms (e.g. AWS), strong programming skills in Python and experience in data engineering using SQL
  • You bring basic skills in software engineering (software architecture, version control systems, continuous integration software)
  • Strong communication skills, with excellent English and interpersonal skills to manage change
  • A strategic approach and good problem-solving skills
  • A thirst to learn and challenge yourself

Why should you apply?

Become a valuable member of our highly professional and international team of IT experts 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 as well as excellent opportunities to develop yourself to higher levels and wider range of knowledge. We have a clearly defined career development track for every individual employee and an excellent team whom are duly rewarded by performance.

We take our time to get to know you. As part of your recruitment process, you'll get to talk to your internship coach as well as your HR Manager who both can answer some of your burning questions.

Hilti is an equal opportunity employer

Hilti
Hilti steht für Qualität, Innovation und direkte Kundenbeziehungen mit rund 250 000 Kontakten pro Tag. 30 000 Mitarbeitende weltweit tragen dazu bei, die Arbeit auf den Baustellen einfacher, schneller und sicherer zu machen – und die Kunden jeden Tag aufs Neue zu begeistern. Mit Produkten, Systemlösungen, Software und Serviceleistungen, die einen überlegenen Mehrwert bieten. Oftmals entstehen Ideen für Verbesserungen direkt vor Ort im Gespräch mit den Kunden. Wenn es für eine Herausforderung noch keine Hilti Lösung gibt, wird sie entwickelt. Dafür investiert das Unternehmen mit Hauptsitz in Schaan, Liechtenstein, jährlich rund 6 Prozent des Umsatzes in Forschung und Entwicklung.
Est. In
1941
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