Data Scientist

Technologies we use

Your responsibilities

• 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.

Our requirements

• 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.

Optional

• 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 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).

What we offer

• 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 PwC 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 PwC as much as we do, you may recommend your friend to work with us.

Benefits