Analytics Engineering Intern

vor 21 Stunden

Zurich, Schweiz iptiQ Vollzeit

**About Swiss Re**

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.

**About The Team**

Swiss Re Institute (SRI) is an important differentiating component of Swiss Re's strategy. SRI uses R&D to ensure our capabilities remain cutting edge, maintain underwriting excellence and incubate new business models, products and services. We create and deliver ground-breaking R&D and robust technological capabilities to generate data-driven insights on existing and new risk pools, and the economic context within which we operate.

While most of your peers and key partners are based in Zurich, the team is composed of an international workforce based in different locations and serving a global customer basis.

**About The Role**

What is the role of the Analytics Engineering team?
- Data Exploration & Consulting: Act as a connector between business and data, advising on how best to leverage data and analytics to improve business outcomes
- Data Modelling: Build a user-centric data asset that is modelled around how our business understands the data

**About You**
- Final year Bachelor student, Master student or graduate with a quantitative background
- Strong communicator, able to clearly communicate sophisticated technical concepts
- Extensive experience in analyzing data and drawing conclusions
- Experienced Python user as demonstrated in multiple projects
- Basic understanding of data modelling concepts and working with data pipelines (e.g. SQL)
- Hands-on experience with Apache Spark (e.g. Pyspark) and a basic understanding of distributed systems is a plus
- Working knowledge of advanced analytics (i.e. Machine Learning, Statistics, Econometrics) is a plus
- Proficient in English (no German required)
- And most importantly, you are a people person that loves collaborating with others to find excellent solutions to sophisticated business problems

This internship is based in
**Zurich**, Switzerland, and will last
**6 months**, starting in
**as soon as possible**.

Swiss Re embraces diversity and equal opportunity. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. We further collaborate in a flexible working environment, providing all of our employees with a compelling degree of autonomy to decide how, when and where we work most effectively

Due to immigration regulations
**non-EU/EFTA and UK citizens** must provide a certificate from a
**Swiss University confirming that an internship is integral to their course of study.

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