The FCU Technology team at PwC 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 PwC 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.). This Data Scientist role is a key part of the Data Science (R&D) team, where you will manage data throughout its full lifecycle – including research, exploration, preprocessing, development, integration, and implementation. You will engage in brainstorming sessions to develop prototypes or proofs of concept utilizing advanced Data Science methods to tackle FinCrime-related challenges. Collaboration with various departments and clients is essential to understand processes and create tailored solutions. Responsibilities also include developing automation solutions based on cutting-edge AI agents, Generative AI models, and Machine Learning techniques. You will contribute to the development of data science products from both a technical perspective (application backend, data pipelines) and a sales perspective (pricing, solution architectures, visual representation of concepts, key value drivers). Additionally, you will support junior and mid-level team members through mentoring and technical assistance, participate in professional training, certifications, and conferences (with opportunities to speak), and work within an Agile environment alongside backend/frontend/low-code developers, DevOps, and business analysts.
Eligibility / Qualification Required:
- 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 (Streamilit, Poetry)
- Interest in solving problems and addressing business challenges with Data and AI.
- Experience in Generative AI-based tools (langchain, langgraph, Vertex AI, Azure OpenAI, or similar technologies) or,
- Experience in MLOps/DevOps technologies (Docker, Kubernetes, REST API, CI/CD, Linux) or,
- Experience in Cloud solutions (Azure, AWS or GCP preferred).
General Conditions:
Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.
How to Apply:
The recruitment process involves several steps: Apply, talk to a recruiter on a short HR screening call, and then interviews to get to know PwC better. Candidates are encouraged to send their application today. While specific required documents are not explicitly listed, it is customary to submit a comprehensive CV/resume for such roles.
- Submit your application through the PwC Polska careers portal.
- For any additional questions regarding the application process or position, please contact: pl_ITrecruitment@pwc.com.
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