Salary: 1100-1300 PLN/day on B2B
Work model: elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (4 days per week from the office)
Why choose this offer?
- You can expect a flexible work organization
- The international work environment will give you the opportunity to interact with the English language on a daily basis
- Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
- The Jit community will bring you a nice time during regular integration meetings
Responsibilities you'll have
- Design, build, and maintain scalable data pipelines ingesting data from internal banking systems, and external data providers
- Develop and optimize data models for corporate lending domains, potentially involving loan origination, credit exposure, deal flow, and repayment history
- Implement data quality checks, validation rules, and data lineage to ensure reliable and transparent data
- Manage and evolve the data warehouse and data lake to support analytics, reporting, and machine learning use cases
- Ensure data processing and storage comply with regulatory, security, and data governance requirements
- Work closely with product managers, engineers, and lending domain experts in an agile team
- Translate data insights and model outputs into clear, actionable recommendations for SMEs and business stakeholders
- Document data pipelines, models, and key design decisions to support auditability and knowledge sharing
Expected competences and knowledge
- Experience with building and maintaining predictive models that support lending and risk decisions, such as credit risk, probability of default, and early warning indicators
- Experience with machine learning models performance analysis, data drift, and model degradation
- Proficiency in Python, PySpark and SQL
- ETL/ELT pipeline development
- Cloud data warehouse/lake experience
- Experience with AWS and services (as Sagemaker AI, and Event Bridge)
- Data modeling, quality, and lineage
- Experience with ML model development and deployment
Nice to have competences
- Corporate lending or financial services background
- Credit decision process knowledge
- LLM/GenAI integration experience
- Agentic AI implementations
- Model explainability
Technologies you'll work with
- Python
- PySpark
- SQL
- ETL/ELT pipeline's
- AWS
Client – why choose this particular client from the Jit portfolio?
Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture, which is conducive to people who place emphasis on work-life balance and feedback culture. Furthermore, all projects are executed in international teams, giving constant exposure to the English language.
About Jit Team
The Human Factor of IT - it’s not just a slogan, it’s a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 770 experienced experts, to whom we offer developmental projects, a wide range of benefits, and a proprietary professional development programme. Together with clients from around the world, we create innovative IT solutions delivered by highly specialised and efficient teams.
Behind our maxim are also charitable and educational activities. We support schools, universities, and educational institutions by conducting workshops, running educational projects, sponsoring events, and donating learning equipment. We offer internships that help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We also support numerous charitable organisations helping people in need, children, and the elderly. We are a Polish company and we share what we have achieved over more than 15 years of activity. By supporting local initiatives, we contribute to the circulation of good energy.