Job Description & Summary

Our Financial Crime team is looking for an experienced data scientist who would like to lead one of our data science teams. The team that you would lead currently consists of six data scientists, is based in Prague and is supported by another team of data engineers and a team of data analysts.

How we see the distinction between the roles:

Data analysts analyse data using simple to intermediate statistics, aggregations and visualisations and their work includes assessment of data quality, data cleaning, data transformations and conducting exploratory data analysis

Data scientists are involved as needed in the data analysis described above and add on top machine learning, anomaly detection, advanced statistical analysis and mathematical optimisation to primarily drive improvements

Data engineers set up the necessary infrastructure which includes designing data processing and CI/CD pipelines, setting up tools for data versioning and distributed processing and promoting good software development practices

About the team

Within the Financial Crime team, we help our clients improve their ways of working and solve technology and business challenges that they face. Our work is supporting banks in detecting money laundering, terrorism financing, drug dealing, corruption and other forms of crime. We help our clients optimise their monitoring systems by building models for behavioural customer segmentation and by parametrising detection rules that identify suspicious activities. Besides this, we also help the banks select and deploy new systems for transaction monitoring. In the last four years, the analytical part of our team has grown from 2 people to 20, and we plan to grow further. We have built a centre of excellence in Prague that serves clients from all parts of Europe and beyond.

Job description & summary

Hands-on work

Analysis of data about customers and their financial transactions

Preprocessing data and understanding its meaning

Developing and executing machine learning pipelines

Writing tests to ensure code quality and maintainability

Team management

Allocation of data scientists to projects that are led by dedicated managers

Mentoring the team in the field of data science in the long-term perspective

Organising, distributing, delegating and planning work outside of the projects, primarily in the development of our internal machine learning tools

Making sure that the data science team is happy

Hiring of new data scientists

Career coaching of a couple of more junior colleagues from the data engineering or data analysis teams to facilitate interconnectedness of the teams

Collecting feedback, organising retrospectives

Continuous analysis and improvement of processes and workflows

Client management

Leading the data science portion of international projects

Responsibility for the quality of deliverables

Review of work and outcomes

Communication with clients

Helping clients develop their analytical capabilities

Testing the efficiency of the implemented monitoring controls

Requirements of the role

At least a master’s degree in data science, statistics, mathematics, computer science or a similar field

Good understanding of machine learning algorithms specifically for clustering and classification

Understanding of various mathematical optimisation methods is a plus, for example particle swarm, differential evolution and Pareto front

Good knowledge of Python and Git

Written and spoken proficiency in English

Team player

Confident communicator and a client-oriented person

Advisory approach

Ability to inspire clients and colleagues

Ability to explain data science to non-technical people

Willingness to take initiative, learn and be challenged

Our Benefits & Fun

Concentrated experience and rapid career growth. It may sound like a platitude, but it really is. 

Fair salary plus paid overtime.  

Paid time off 25 days, 3 Wellbeing 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 45.000 points that you can use for holidays, education, food vouchers, sports, health... Simply on what you enjoy.  

Support for your education and development: we offer business and digital training (Alteryx, Power BI etc.) and many other training and workshops to further develop your personal and professional skills. We pay for technical certifications and the time you spend studying them.  

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, but also 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 364,000 colleagues in 151 countries. At PwC, we create an inclusive work environment where everyone can be themselves and find their place and opportunity to develop. This year, we have successfully maintained the prestigious Equal Pay Certification, making us one of only four companies in the Czech Republic (and the only one from the Big 4) that demonstrably implements fair compensation practices regardless of gender. 

Are you interested in our offer? Let us know about yourself and we will discuss more details together! 

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