Data Scientist (Pricing)

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

About the role

As a Data Scientist, you will work with stakeholders across the business to implement pricing applications, bridging the gap between technical possibility and business impact, while actively fostering innovations that enhance our pricing strategies. You will be part of a global team responsible for the German market.

How you will get the job done

• creating competitive advantages through innovative usage of data, particularly in pricing optimization

• preparing structured and unstructured data for analyses and modeling

• collaborating with business and technology teams to translate ideas into data- and AI-driven solutions

• collecting and analyzing market data, as well as developing dynamic models for flexible adaptation to market conditions and customer behavior

• taking responsibility for the conception, development, and optimization of modern machine learning techniques to support the pricing of new products and portfolio management

• implementing meaningful dashboards and continuous monitoring to ensure that portfolio developments align with corporate goals

• contributing to the establishment and maintenance of a company-wide AI community to promote knowledge exchange and the effective application of AI technologies

Skills and experience you will need

• fluency in English

• university degree in Computer Science, Mathematics, Statistics, Data Science, or a related field

• minimum 2 years of experience and solid knowledge of programming languages such as Python and R for data analyses and model optimization, as well as experience with data visualization tools such as Tableau/Power BI, SAS Viya, and cloud technologies (e.g., Azure, AWS, DataBricks)

• practical experience in developing and implementing machine learning models, including knowledge of MLOps and CI/CD processes

• strong analytical skills and experience in handling large amounts of data, both structured and unstructured, and in processing them

• proactive approach, and strong communication skills in interdisciplinary teams, as well as experience in agile working environments

Nice to have

• knowledge of German (B1 or higher)

Perks & Benefits

Let's be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!