Data Scientist (AI Solution) | f/m/d

ERGO; Województwo mazowieckie; Hybrid; PLN 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Remote working

Dog-friendly office

Office in Warsaw

Flexible hours

Zusammenfassung

ERGO Technology & Services S.A. (ET&S) in Poland seeks a skilled AI/GenAI specialist to lead digitalisation initiatives and implement ML/GenAI solutions across IT and insurance domains. You will train and fine‑tune models, engineer prompts, and monitor performance within agile teams.

Fluency in English is required; a related university degree and hands‑on Python/R cloud experience are essential. Willingness to travel and a proactive, networked mindset are valued, with remote work options

Qualifikationen

• University degree in Natural Sciences, Applied Mathematics, Statistics, Computer Science or related field.

Aufgaben

• Developing and implementing strategic digitalisation projects with focus on GenAI.

Kenntnisse

Fluent English

Python

R

Machine Learning

GenAI

ML Ops

Big data

Cloud (Azure/AWS)

Data Visualization

Statistics

Ausbildung

University degree in relevant field

Tools

Azure

AWS

Python

R

Jobbeschreibung

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.

How you will get the job done

• developing and implementing strategic digitalisation projects with focus on (Gen)AI
• designing and implementing machine learning and AI solutions (in particular deep learning), taking into account the latest developments in GenAI
• contributing to the development and productive deployment of machine learning and (Gen)AI solutions, including model training, fine‑tuning and prompt engineering, as well as continuous monitoring and optimization of the methods and technologies used
• working closely with IT and business units in agile, cross-functional teams to implement machine learning and (Gen)AI solutions
• helping to build and maintaining a company-wide network to foster a strong AI community
• having work experience in insurance industry

Skills and experience you will need

• fluent spoken and written English
• university degree in Natural Sciences (Applied) Mathematics, Statistics, Computer Science or a related field
• solid knowledge of relevant programming and modelling languages (e.g. Python (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS)
• hands‑on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable
• strong analytical skills and experience in processing large structured, semi-structured and unstructured data sets, supplemented by experience with GenAI applications
• willingness to innovate and a proactive way of working combined with the ability to think and act in a networked manner
• willingness to travel

Nice to have

• fluent spoken and written German

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 benefits!