Our Technology Team in Financial Crime Unit in Poland delivers innovative technology solutions, data analytics and consulting services to global PwC clients, addressing key challenges in the Anti Financial Crime area (Anti Money Laundering, Combating Terrorism Financing, Fraud Risk Management, FATCA and Financial Sanctions implementation etc.)
The role
Be part of the Data Science (R&D) team and take data throughout its full lifecycle - exploration, preprocessing, analysis, integration and implementation.
Generate business insights for our client’s using data analytics techniques
Develop advanced models using both machine learning and statistical approach
Contribute to data science products development
Work in agile environment with back-end/front-end developers, business analysts and product owners
Participate in brainstorming and development of prototypes / proof of concepts
Candidate’s profile
Min. 3 years of experience in machine learning / statistical modeling / web applications development
Proficiency in at least one programming language (Python / R / C#) and querying technologies (e.g. SQL)
Basic knowledge of web applications architecture
Knowledge of data visualization tools (e.g. ggplot, plotly)
Experience working with Git/Jira/Docker would be an asset
Experience with ML Ops technologies would be an asset (e.g. MLFlow)
University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data)
Excellent written & spoken English with great communication skills.
We offer
Possibility to work in a hybrid or fully remote model
Tailored technical trainings selection addressing area of your interest / development
Attractive remuneration package
Clear promotions path
Possibility to choose between UoP/B2B
Work in an international team providing services to leading global financial institutions (based in Europe, US, Asia and Africa)
Benefits (private healthcare, multisport card, language classes)
Great atmosphere and comfortable working environment
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