Data Scientist

October 5, 2026

Hybrid

Junior

Warsaw, Poland

Worth knowing

English is required

Description

The FCU Technology team unites over 100 IT specialists providing innovative technology solutions, data analytics and consulting for global clients in Anti Financial Crime. The Data Scientist joins the Data Science (R&D) team and works across the full data lifecycle, from research and preprocessing to implementation. The role covers AI-driven automation, prototyping and development of data science products from both technical and sales perspectives in an Agile environment.

Responsibilities

Work with data throughout its full lifecycle: research, exploration, preprocessing, development, integration and implementation
Run brainstorming sessions and develop prototypes or proofs of concept tackling FinCrime-related challenges
Collaborate with other departments and clients to understand processes and design tailored solutions
Create automation solutions based on AI agents, generative AI models and machine learning techniques
Contribute to data science products from a technical perspective like application backend and data pipelines
Contribute to data science products from a sales perspective like pricing, solution architectures and key value drivers
Support junior and mid-level team members through mentoring and technical assistance
Participate in training, certifications and conferences, also as a speaker if desired
Work in an Agile environment alongside backend, frontend and low-code developers, DevOps and business analysts

Requirements

Minimum of 1 year of experience in Data Science or Research & Development
University degree, preferably in Statistics, Econometrics, Mathematics or Computer Science
Proficient knowledge of the Python programming language
Familiarity with key data science and machine learning packages like pandas, polars, scikit-learn, Keras, PyTorch, LightGBM
Knowledge of Generative AI concepts such as Prompt Engineering, RAG and AI Agents
Demonstrated use of new technologies and AI-powered tools in daily work
Excellent written and spoken English
Creative and critical thinking skills
Curiosity and eagerness to learn multiple business processes and disciplines

Conditions

Hybrid working model with a minimum of 2 days in the office per week
Flexible start of the day, workation and sabbatical leave
Full support during onboarding, mentoring and co-financed training, workshops and certifications
Wide medical and wellbeing program including physiotherapy, coaching, mindfulness and psychological support
Individual benefits package with lunch pass, insurance, IT equipment vouchers and cafeteria discounts
Three paid volunteering hours per month and an additional paid birthday day off
Referral program for recommending friends to the company

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