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.
requirements-expected :
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.
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, 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.
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
birthday day off
additional benefits e.g. medical pet care, lunch pass
