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Data Scientist (student role)

Swiss Re

Information about the position

  • Place of work: Mlynské nivy, Bratislava, Slovakia (Job with occasional home office)
  • Basic wage component (gross) and other rewards: From 9 EUR/hourOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group.
  • Contract type: part-time

Job description, responsibilities and duties

About the role & team
Swiss Re aims at being a best-in-class analytics player in the insurance market, doing analytics at scale.

To achieve scalability an investment into standards and best practices for engineering and operations is required. We must strive to create tools that empower project teams to execute with maximum efficiency and effectiveness.

Thus, we must learn how to not only “do analytics as a one-off exercise” but build, deploy and run analytics models…

-efficiently,
-repeatably,
-securely,
-at scale,
-and integrated in SR’s enterprise environment.

We are looking for a student (50%) who is enthusiastic about applying data science and engineering to real-world problems as a part of our ML Engineering & Operations team. If you join us, you will be able to participate in a variety of interesting projects.

For example:
Predicting flight delay likelihood that is used to individually price more than 20 million insurance policies.
Building virtual marketplace (similar to Amazon) for insurance products.
Detect important claims from vast datasets using ML models deployed on a Spark based platform and adding capabilities such as data drift and AI explainability.
We are a diverse chapter of experts, whose members sit in various locations across the globe. What brings us all together is our passion for what we do and eagerness to learn. Apart from working on the projects for our clients, we strive to further define the ML space in SwissRe and build strategic skills of the future.

Information about the selection process

Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Requirements for the employee

Candidates with education suit the position

University student
University education (Bachelor's degree)
University education (Master's degree)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

About You
Nobody is perfect and meets 100% of requirements. If you, however, meet some of the criteria below and are genuinely curious about the world of data science, we will be happy to meet you.

In order to be successful in the role, you need to have these technical skills and knowledge:

-You are student in Slovakia of Computer Science, a statistics program, Math or Physics and have some knowledge of machine learning. We welcome different levels and help to fill the gaps.
-Knowledge of Python.

If you also have the following experience and interests, it is a huge plus:

-Background in software engineering.
-Experience in distributed computing/databases.
-Interest in Natural Language Processing and machine learning on geo data.

If you don't have some or any of those but are eager to learn them, get in contact with us. Thank you for taking the time to read our job advertisement. We look forward to getting to know you!

Advertiser

Brief description of the company

As the world's leading and most diversified global reinsurer, we offer as our core business financial services products that enable risk taking essential to enterprise and progress. Our company was founded in Zurich, Switzerland in 1863, and operates in more than 25 countries and provides its expertise and services to clients throughout the world. We combine financial strengths with experience, knowledge and creative thought to explore new opportunities in the interests of our clients, staff and shareholders.

Number of employees

1000 and more employees