In PwC Poland’s Digital& we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America and Asia.

We are looking for:

Senior Data Scientist

Your future role:

• Developing innovative solutions for our clients by leveraging cutting-edge data science, machine learning, and AI technologies,
• Developing intelligent assistants using the latest large language models (e.g., GPT-4, Falcon 2, LLAMA 3, Mixtral), employing Retrieval Augmented Generation techniques, and utilizing agent frameworks (e.g., Langraph, CrewAI),
• Utilizing AI expertise to recommend the most effective technical approaches and solution architectures for addressing business challenges,
• Leading data science project teams of 1-5 members, managing small to medium projects, and overseeing parts of larger engagements under senior supervision,
• Working closely with PwC industry experts, clients, and higher management while actively participating in the proposal-making process within your area of expertise,
• Communicating complex insights in a clear and actionable manner to non-technical colleagues and clients.

Apply if you have:

• 3+ years of relevant professional experience,
• Solid knowledge of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures,
• Knowledge and experience in production grade code development in Python,
• Solid knowledge of SQL,
• Experience with LLMs and related concepts (e.g. RAG, vector DBs, AI agents),
• Understanding of cloud concepts and architectures, with hands-on experience in cloud services (GCP, AWS, Azure),
• Knowledge of CI/CD and DevOps practices,
• Experience with deploying code with Docker / Kubernetes,
• Strong interpersonal and communication skills — essential in day-to-day cooperation with clients and the team,
• Outstanding supervision and mentorship abilities,
• Graduate of Economics, Econometrics, Quantitative Methods, Computer Science, Math, Physics, Operational Research or related discipline,
• Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions to business problems,
• Proficiency in English, both written and spoken.

Nice to have:

• Familiarity with MLOps tools (e.g., Azure AI Studio, AzureML, Vertex.AI, SageMaker, MLFlow),
• Knowledge of an extra programming language (e.g. C#, Go, Java),
• Knowledge of Natural Language Processing techniques,
• Experience in banking, retail or consulting,
• Experience in leading project teams.

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 (incl. dental care, freedom of treatment, physiotherapy), 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:

• Apply, 
• Have a quick conversation with our Recruiter on a short HR screening call,
• Get to know each other better during an interview with the Recruiter and Hiring Manager.