Job Description & Summary

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.)

Data Scientist in Technology Team, Financial Crime Unit

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