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-expected :
Minimum of 3 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 with great communication skills,
Creative and critical thinking skills,
Curious and eager to learn about multiple business processes and disciplines,
Experience in at least one area:
Implementing Generative AI-based tools (langchain, langgraph, Vertex AI, Azure OpenAI, or similar technologies),
Advanced knowledge of cloud solutions (Azure, AWS or GCP preferred).
offered :
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.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
employee referral program
Employee Assistance Program
additional benefits (medical pet care, lunch pass, massages)
