
Data Scientist
PwC
full-time
Posted on:
Location Type: Hybrid
Location: Warsaw • 🇵🇱 Poland
Visit company websiteJob Level
Junior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKerasKubernetesLinuxPandasPythonPyTorchScikit-LearnSQL
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
- 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
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonData ScienceMachine LearningGenerative AIpandaspolarsscikit-learnKerasPyTorchLightGBM
Soft skills
creative thinkingcritical thinkingcuriosityeagerness to learnmentoringcollaborationproblem-solvingcommunicationpresentation skillsbrainstorming