building and refining predictive pricing models using GLM, ML, and deep learning techniques
performing feature engineering, data cleaning, and model performance monitoring to ensure accuracy and reliability
developing visual analytics tools and dashboards for tracking pricing KPIs
translating technical modelling outcomes into clear, actionable insights for business stakeholders
collaborating with underwriting, product, and claims teams to integrate analytics into operational decisions
Our requirements
fluency in English (C1)
3+ years of experience in Actuarial Science, Data Science, or a related analytical field
proven skills in Python, R, SQL, and experience with ML/DL frameworks such as TensorFlow or PyTorch
strong statistical modelling and data visualisation capabilities
experience applying predictive analytics in insurance pricing or risk modelling
ability to work in cross-functional teams and communicate technical concepts to non-technical stakeholders
What we offer
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!
Benefits
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
integration events
employee referral program
charity initiatives
About the role
As Actuarial Data Scientist, you will develop and enhance advanced pricing models, blending actuarial techniques with modern data science. You will work closely with the Lead Actuarial Data Scientist, underwriting experts, and ERGO’s Group Data Science community to deliver AI-enabled solutions that improve risk selection, optimise pricing strategies, and strengthen ERGO’s market position.
ERGO Technology & Services S.A.
ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.
Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".
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