Data Scientist

PwC

Data Scientist role at PwC focusing on FinCrime-related challenges using Data Science methods. Collaborate with teams to develop data solutions and automation AI applications.

Posted 5/26/2026full-timeWarszawa • 🇵🇱 PolandJuniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKerasKubernetesLinuxPandasPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 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)

Benefits

Comp & perks

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
Employee referral program

ATS Keywords

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Hard Skills & Tools

PythonData ScienceMachine LearningGenerative AIpandasscikit-learnKerasPyTorchLightGBMSQL

Soft Skills

creative thinkingcritical thinkingcuriosityeagerness to learnmentoringcollaborationcommunicationproblem-solvingadaptabilityteamwork