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.
 

About the role | What will you do?

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
   

Are you a good match?

• 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
   

What is in it for you? 

• Work that benefits society - We solve important problems

• A professional, talented, cheerful and ambitious team

• Work with clients and colleagues from various countries

• Stable, but challenging environment that provides plenty of opportunities for your continuous professional growth

• 25 days of vacation, 3 sick or well-being days and extra days off at the end of the year

• Benefit program that you can use for holidays, education, meal and wellness vouchers, sport activities, health services, etc.

• Support for your education and development - We offer business and technical training to develop your personal and professional skills, we pay for technical certifications and the time you spend studying for them

• Career coaching from more senior colleagues

• Opportunity to work in the future at a foreign PwC office, for example in the USA, Canada or other locations

• Extra-work activities and away days like team buildings and ski weekends

• You will develop your skills while having the support from top-notch professionals

We are an international network of companies with more than 327,000 colleagues in 155 countries. Come and join our fast-growing team of data enthusiasts and help us combat money laundering and other types of financial fraud.

Are you interested? Let us know, and we will discuss more details together!

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