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

ERGO Technology & Services S.A.; Warszawa; Hybrid; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Medical package

Remote work

Warsaw office

Workshops & training

CSR activities

Team events

Job summary

ERGO Technology & Services S.A. is seeking a highly skilled AI/GenAI specialist to drive strategic digitalisation projects in Warsaw. You will design and implement ML/AI solutions, including deep learning, aligned with GenAI advancements.

The role involves model training, fine-tuning, prompt engineering, and integrating solutions with IT and business teams in an agile setting. Insurance industry experience is advantageous.

Qualifications

• Fluent English (spoken and written).
• University degree in Natural Sciences, Applied Mathematics, Statistics, CS or related field.
• Strong knowledge of Python and R; BI tools and cloud technologies (Azure, AWS).
• Hands-on experience in statistical modelling, ML/AI, GenAI; MLOps experience desirable.

Responsibilities

• Developing and implementing strategic digitalisation projects with focus on GenAI.
• Designing and implementing machine learning and AI solutions (deep learning).
• Contributing to deployment of ML/GenAI solutions, including model training, fine-tuning and prompt engineering.
• Working with IT and business units in agile, cross-functional teams to implement ML/GenAI solutions.
• Helping to build and maintain a company-wide AI community.
• Having work experience in the insurance industry.

Skills

Fluent English

GenAI

ML/AI experience

Analytical skills

Education

University degree in Natural Sciences / Applied Mathematics / Statistics / CS or related field

Tools

Python

R

Azure

AWS

Job description

Nasze wymagania:

• fluentspoken and written English
• universitydegree inNaturalSciences (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 visualizationcomplemented by knowledge in the development and use of GenAI applications and large language models; MLOpsexperience 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 workingcombined with the ability to think and act in a networked manner
• willingness to travel

Mile widziane:

• fluentspoken and written German

Zakres obowiązków:

• developing and implementing strategicdigitalisationprojectswith focus on (Gen)AI
• designing and implementing machine learning and AI solutions (in particular deeplearning), takinginto account the latest developments in GenAI
• contributing to the development and productive deployment of machine learning and (Gen)AIsolutions,including model training,fine‑tuningand prompt engineering, as well as continuous monitoring andoptimizationof the methods and technologies used
• working closely with IT and business units in agile, cross-functional teams to implement machinelearning and (Gen)AI solutions
• helpingto buildandmaintaininga company-wide network to foster a strong AI community
• having workexperienceininsuranceindustry

Oferujemy:

• 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!