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Data Scientist iptiQ EMEA

Swiss Re

Information about the position

  • Place of work: Mlynské nivy 12, Bratislava
  • Basic wage component (gross) and other rewards: From 1 700 EUR/monthMinimum base salary for this job is from 1 700 EUR gross/month/full time. Our offer to you may be higher based on your skills and will include additional rewards and benefits.*
  • Contract type: full-time

Job description, responsibilities and duties

Do you want to join a big company with stability and recognized name? Or do you want to try something more dynamic in a start-up where you can see the impact of your work and you meet the CEO on regular basis? If you want to have benefits of both, iptiQ is for you. And in case you are also interested in statistics, software engineering and data, you should read more.

You will drive data analytics topic forward with few other colleagues, delivering various use cases from simple reports and dashboard to development and maintenance of complex machine learning models and pipelines relevant for pricing, customer retention and many more.

Key topics where you can find your place:

- Work with business units and other members of the technology department to design data solutions that enable to leverage data insights more efficiently and effectively
- Independently analyse operational data in order to provide trends and actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Create and maintain data pipeline architecture on existing data storage solution for data analytics use cases
- Develop and maintain insurance machine learning models for various departments and different needs
- Prepare data reports and visualizations based on business specifications and need
- Drive decisions that define a specific direction for the improvement and enhancement of analytics capabilities
- Maintain close alignment with the Technology team of Life Capital, across iptiQ departments as well as the Swiss Re group functions

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.

Information about the selection process

*We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.

We are an equal opportunity employer, and we value diversity at our company. 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 education (Master's degree)

Language skills

English - Upper intermediate (B2)

Personality requirements and skills

In case you have genuine interest in statistics, software engineering and data processing, with some experience with it, we already encourage you to apply. But in details, we are searching for someone who fulfill most of the following:

- 1-3 years of relevant work experience as data scientist, data engineer or similar, but position is suitable for graduate in the given field as well
- Degree in Computer Science, Math, Physics, Engineering or similar quantitative field
- Programming in R and/or Python together with related technology stack s.t. SQL, other data management tools, data visualization tools (e.g., Tableau, MS PowerBI, Shiny)
- Real passion for and knowledge of technology, automation and digitalisation
- Strong analytical skills related to working with structured and unstructured data sets
- Experience of manipulating, processing and extracting value 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 complex concepts in a compelling, concise, and creative way
- Highly organized, able to handle multiple tasks efficiently and prioritize work effectively
- Experience with AWS or different cloud services and with big data tools (e.g. Spark) would be a plus
- Fluency in English


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

Company address

Swiss Re Management AG
Mlynske nivy 12
821 08 Bratislava


Kontaktná osoba: Magdalena Lendvorska