Data Scientist

PwC
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Job Description

We focus on detecting Financial Crime. Our team serves as a regional centre of excellence that provides technical advisory to clients across the whole world so we work with clients in Europe, North America, Australia, Africa or South Asia.

We help our clients optimise anti-money laundering systems by enhancing them with machine learning. To enable us to deliver insights rapidly, we have a custom-developed cloud-based application that we strive to constantly improve. We have recently launched the second generation of the application.

Come and join the fast growing field of Financial Crime Analytics and help us combat money laundering and other types of financial fraud.

Job description & summary

What will you do?

  • Work on client engagements
  • Analysing data mainly about customers and monitoring alerts
  • Providing methodical guidance to clients
  • Transforming data and understanding its business meaning
  • Developing our digital assets
  • Creating machine learning pipelines
  • Developing new forms of visualisation
  • Programming in Python including writing tests :)
  • Preparing new engagement proposals
  • Staying up-to-date with developments in the field of machine learning

Requirements of the role

  • At least a bachelor degree in Data Science or a similar field
  • Understanding of machine learning algorithms used to perform classification and clustering
  • Knowledge of Python, Git and SQL
  • Experience with Tableau, Power BI or a similar visualisation tool
  • Understanding of natural language processing, neural networks and graph algorithms is a plus
  • Experience with tools for distributed processing like Dask, Ray, Hadoop and Spark is a plus
  • Knowledge of the field of Anti-Financial Crime or Banking is a plus
  • Good English both verbal and written
  • Willingness to learn, take initiative and be challenged
  • A confident communicator and a strong team member
  • Willingness to travel if needed​

What are we offering?

  • Concentrated experience and rapid career growth. It may sound like a platitude, but it really is.
  • Fair wages plus paid overtime.
  • Paid time off 25 days, 3 sick days and 2 extra days off from the company at the end of the year.
  • High-end Ultrabook and iPhone with unlimited data.
  • Benefit program with 30.000 points that you can use for holidays, education, food vouchers, sports (Multisport), health... Simply on what you enjoy.
  • Supporting your development and education: business and digital skills training (e.g. Alteryx, Power BI, Tableau), ongoing training and certifications, e.g. Microsoft (Azure, PowerApps), project management (Prince2, PMI), service management (ITIL), agile development (Scrum, SAFe), DAMA, Salesforce, coaching and presentation skills and more.
  • Opportunity to work in the future at a foreign PwC office, for example in the USA, Canada and there are others in the selection.
  • Extra-work activities and Away Days (team building, ski weekend, etc.).
  • Regular feedback on your work, also consultation with a coach with whom you can address your further development and career direction.

PwC is the largest audit team in the Czech Republic, law, tax, consulting and technology, data or forensic teams. Find out how easy it is to combine this knowledge when you're in the right place.

With us, you will get the opportunity to see how business is done in large companies. We are part of an international network of companies with more than 250,000 colleagues in 158 countries.

Company Info.

PwC

PricewaterhouseCoopers is a multinational professional services network of firms, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG.

  • Industry
    Accountants
  • No. of Employees
    295,000
  • Location
    London, UK
  • Website
  • Jobs Posted

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PwC is currently hiring Data Scientist Jobs in Praha, Czechia with average base salary of Kč45,000 - Kč60,000 / Month.

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