Lead Data Scientist

The FCU Technology team at Polska includes over 100 IT specialists. The financial services industry operates in a challenging environment due to global economic pressures, increasing regulatory and capital requirements, and significant operational and technological changes. As FCU Technology, we provide innovative technological solutions, data analytics and consulting services for global clients, responding to key challenges in the area of Anti Financial Crime (Anti Money Laundering, Combating Terrorism Financing, Fraud Risk Management, FATCA and implementation of financial sanctions, etc.).

We are looking for:

Your future role:

• Be part of the Data Science (R&D) team and take data throughout its full lifecycle - research, exploration, preprocessing, development, integration and implementation,
• Engage in brainstorming sessions and develop prototypes or proofs of concept that utilize Data Science methods to tackle FinCrime-related challenges,
• Collaborate with other departments and clients to understand processes and come up with tailored solutions,
• Create automation solutions based on AI agents, Generative AI models, Machine Learning techniques,
• Contribute to the development of data science products from technical perspective (application backend, data pipelines) and from sales perspective (pricing, solution architectures, visual representation of the concepts, 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 you wish),
• Work in an Agile environment alongside backend/frontend/low-code developers, DevOps, and business analysts.

Apply if you have:

• Minimum of 1 year of experience in data science or research & development,
• University degree (preferred in Statistics, Econometrics, Mathematics or Computer Science),
• Proficient knowledge in Python programming language,
• Familiarity with several key Data Science and Machine Learning packages (e.g., pandas, polars, scikit-learn, Keras, PyTorch, LightGBM),
• Knowledge of Generative AI concepts (e.g. prompt engineering, RAG, AI agents),
• Excellent written & spoken English,
• Creative and critical thinking skills,
• Curiosity and eagerness to learn about multiple business processes and disciplines,

Nice to have:

• Knowledge and experience in relational databases (SQL, data warehouse),
• Ability to create simple proof of concept applications in Python (Streamilt, Poetry),
• Interest in solving problems and addressing business challenges with Data and AI.

Experience in at least one area:

• Generative AI-based tools (langchain, langgraph, Vertex AI, Azure OpenAI, or similar technologies),
• MLOps/DevOps technologies (Docker, Kubernetes, REST API, CI/CD, Linux),
• Cloud solutions (Azure, AWS or GCP preferred).

By joining us you gain:

• Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,
• Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by the company and conversations with native speaker,
• Wide medical and wellbeing program - medical care package (incl. freedom of treatment, physiotherapy, discounts on dental care), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,
• Possibility to create your individual benefits package (a.o. lunch pass, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,
• 3 paid hours for volunteering per month,
• Additional paid Birthday Day off,
• And when you start enjoying the company as much as we do, you may recommend your friend to work with us.

Recruitment process:

• Apply,
• Talk to our recruiter on a short HR screening call,
• Get to know us better during the interviews.

Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com.

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