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Data Scientist

Place of work
Mlynské nivy 12, Bratislava, Slovakia (Job with occasional home office)
Contract type
full-time
Wage (gross)
From 1 500 EUR/monthOur final offer to you will be set up fairly, considering the skills and experience that you bring to the Swiss Re Group. You can look forward to extra rewards and benefits including an attractive performance-based bonus.

Information about the position

Job description, responsibilities and duties

This is a unique opportunity to join a new business unit of iptiQ within an established company of Swiss Re. iptiQ is established to deliver white-label life insurance solutions to be sold through partners, directly to consumers. We are a young, motivated and technology driven team, organised to provide creative solutions for life insurance distributors across Europe that engage with consumers in non-traditional ways. Through our strong operational infrastructure, innovative thinking, insurance know-how and ecommerce competences we want to drive the digitalization of the life insurance business in Europe.

About the Team

The Data & Analytics team in iptiQ EMEA will ensure that data is treated as an asset across the entire insurance value chain. The team is responsible to manage, process, persist and analyse various business relevant data, offering it further to the other teams/departments. Your role would be focused on the analytical part.

About the Role

You will drive data analytics topic forward with few other colleagues, delivering various use cases in the area of Business Intelligence from requirement collection, development to maintenance of given solutions. On top of that, the team offers an opportunity to learn about ML models and pipelines relevant for pricing, customer retention and many more.

Key topics where you can find your place:

- Create and maintain reports and dashboards in Tableau on existing data storage solution based on business specifications and need
- Work with business units and other members of the technology department to design data solutions that enable to leverage data insights more efficiently and optimally
- Independently analyse operational data in order to provide trends and actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Possibly help to develop and maintain insurance machine learning models for various departments and different needs
- Maintain close alignment with the Technology team across iptiQ departments as well as the Swiss Re group functions

Employee perks, benefits

You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Requirements for the employee

Candidates with education suit the position

University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

- In case you have genuine interest in analytics, data visualization and partially software engineering/data processing, with some experience with it, we already encourage you to apply. But in details, we are searching for someone who fulfil most of the following:
- 1-3 years of relevant work experience as BI specialist, data analyst, data scientist or similar, but position is suitable for graduate in the given field as well
- Degree in Economics/Insurance, Math, Physics, Software Engineering, or similar insurance related or quantitative field
Experience or strong interest in data visualization tools (e.g., Tableau, MS PowerBI, Shiny)
- Programming in R and/or Python together with related technology stack s.t. SQL is a plus but not required
- Real passion for and knowledge of technology, automation and digitalization
Strong analytical skills related to working with structured and unstructured data sets
Experience of manipulating, processing and extracting information from large disconnected datasets
- Intellectual curiosity and aptitude to pick up new technical skills
- Ability to engage with a diverse range of stakeholder thanks to your highly collaborative style
- Communicate sophisticated concepts in a compelling, concise, and creative way
- Highly organized, able to handle multiple tasks efficiently and prioritize work optimally
- Proficiency in English

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

1700 and more employees

Company address

Contact

Contact person: Kristína Fabiny Šeligová

ID: 4498642  Dátum zverejnenia: 25.1.2023  Základná zložka mzdy (brutto): 1 500 EUR/month