Connecting Odds
PwC

Data Scientist

PwC
PraguePosted 26 days agoDiscoveredMatch locked
Full time

About the team

We help our clients detect financial crime by assessing, optimising and implementing their monitoring systems. Our team serves as a regional centre of excellence that provides technical advisory to clients mainly in Europe but also on other continents. To enable us to deliver results rapidly, we have developed several cloud-based applications that we strive to constantly improve and expand.  Come and join our fast-growing team of Data Analysts/Engineers/Scientists and AML Compliance Experts and help us combat money laundering and other types of financial fraud.

About your manager

Liviu Chirita is Partner responsible for PwC CEE Financial Crime Advisory. Originally with a background in financial services risk management, he has led an expansion of the current team into wider Risk & Regulatory topics including digital and technology related support to PwC clients. The existing multi-national team is predominantly Prague based.

80% Work on client engagements

  • Analysing data mainly about customers and their transactions
  • Providing methodical guidance to clients
  • Transforming data and understanding its business meaning

10% Development our digital assets

  • Creating machine learning pipelines
  • Developing new forms of visualisations
  • Programming in Python including writing tests

What matters to us

  • At least bachelor degree in Data Science or a similar field
  • Understanding of machine learning algorithms for classification and clustering and various mathematical optimisation methods like differential evolution
  • Knowledge of Python, Git and SQL
  • Outstanding English both verbal and written
  • Willingness to learn, take initiative and be challenged, confident communicator and a strong team member, with willingness to travel if needed

What will help you stand out

  • Experience with tools for distributed processing is a plus - Dask, Spark
  • Experience in the field of Anti-Financial Crime or Banking is a plus
  • Understanding of neural networks and graph algorithms is a plus
  • Knowledge of natural language processing might be beneficial

Why you’ll enjoy working here

Professional growth

that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.  •

Fair pay

with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.

  • A flexible benefits programme with

30,000 points

(for senior 45,000 p.) to spend on what matters most to you.  •

30 days

of paid time off, including three well-being days and two additional days off at the end of the year.

  • An opportunity to give back to the community with one

paid volunteering day

every year.

  • The chance to work from one of PwC’s

international offices

(available from the Senior Associate level).  •

We support your learning and development journey

We offer training in business skills (such as presentation and communication skills, assertiveness, and giving feedback) as well as digital skills (including Alteryx, Power BI, and AI). We also cover the cost of professional certifications, such as CFA.

  • A

buddy programme

, regular feedback, and access to a coach who can support your professional development and career path.

  • Extensive

well-being support

and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.

  • An ultrabook and an iPhone with unlimited data.
  • Social events and Away Days.

At PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.

Interested in joining us? We’d love to hear from you and tell you more about this opportunity.

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Skills

machine-learningpythonartificial-intelligencegitpower-bisparksql

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