Job Description & Summary

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.).

We are looking for:

Data Scientist

Your future role:

• Be part of the Data Science (R&D) team and take data throughout its full lifecycle - research, exploration, preprocessing, development, integration and implementation,
• Participate in brainstorming and developing prototypes/proofs of concepts for using Data Science methods to solve FinCrime-related problems,
• Collaborate with other departments and clients to understand processes and come up with tailored solutions,
• Participate in pricing and technical sales support by creating technical materials and solution architectures,
• Develop AI models using machine learning, deep learning, statistical approach and natural language processing,
• Contribute to data science products development (applications, pipelines),
• Implement and manage large language models and other Generative AI tools,
• Take part in trainings, certifications and conferences (also as a speaker if You want),
• Work in agile environment with backend / frontend / lowcode developers, devops and business analysts.

Apply if you have:

• 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), 
• Basic knowledge of cloud solutions (Azure or Google Cloud Platform preferred),
• Excellent written & spoken English with great communication skills,
• Creative and critical thinking skills.

Nice to have:

• Experience with MLOps / DevOps technologies  (e.g. ML Flow, Docker, CI/CD, Linux),
• Ability to implement Generative AI solutions (e.g. Langchain, LLamaIndex, Azure OpenAI, Vertex AI),
• Ability to create simple proof of concept applications in Python (Streamilt, Poetry),
• AML knowledge (Know Your Clients, Transaction Monitoring, Fraud, Sanctions).

By joining us you gain:

• 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, 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, insurance packages, 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.

Recruitment process:

• Submit your resume, 
• Have a short phone conversation with our Recruiter, 
• Complete the technical test,
• Let's get to know each other better in the interview!

Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com.

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.

#LI-AK2