Data Scientist

Data Scientist

About the role

Be part of the Data Science (R&D) team and take data throughout its full lifecycle - research, exploration, preprocessing, development, integration and implementation.

Work in an agile environment alongside backend/frontend/low-code developers, DevOps, and business analysts.

Responsibilities

• 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, and 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)

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)
• Demonstrated knowledge of new technologies and AI-powered tools in your daily work (e.g., task automation, information analysis, content creation)
• 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 (Streamlit, 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)
• Experience in MLOps/DevOps technologies (Docker, Kubernetes, REST API, CI/CD, Linux)
• Experience in cloud solutions (Azure, AWS or GCP preferred)

Benefits

• Work flexibility – hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave
• Development and upskilling – full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co-financed by PwC, conversations with native speakers
• Medical and well-being program – medical care package (incl. physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice
• Individual benefits package – lunch pass, insurance packages, concierge, veterinary package for a pet, massages
• Additional perks – access to cafeteria vouchers, discounts on IT equipment and car purchase, 3 paid hours for volunteering per month, additional paid birthday day off
• Referral program – recommend a friend to work with us

Recruitment process

• Submit your resume
• Have a short phone conversation with our recruiter
• Interview to get to know each other better

Contact

For questions, contact: pl_ITrecruitment@pwc.com

Please note that this email is not designated for application submissions.

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