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Data Analyst - Intern - Financial Crime team

Pay
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Work setting
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Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting

Before you apply

New graduates
For current studentsJob title: Data Analyst - Intern - Financial Crime team

What you’ll work on

Full posting
  • Analyse customer and transaction data to spot patterns

  • Assess, validate and optimise financial crime detection systems

  • Assess data quality and suggest monitoring improvements

  • Create data pipelines, automated controls and visualisations

  • Prepare new engagement proposals

From the employer’s posting
Analysing data mainly about customers and their transactions
Assessing, validating, implementing and optimising systems for detecting financial crime
Assessment of data quality
Creating data pipelines an automated controls
Preparing new engagement proposals

What you’ll bring

All qualifications

Core experience

  • Currently studying at university, ideally a data, finance or maths-related field
  • Basic knowledge of Python and SQL
  • Basic understanding of statistics and data analysis
  • Good written and spoken English
Qualification wording
You are currently studying at university, ideally Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field
Basic knowledge of Python and SQL
basic understanding of statistics and data analysis
Good written and spoken English
Apply at Pwc

Posting record

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Status in our records
Live
First seen by us
Oct 19, 202615 days ago
Recorded sightings
32
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 15

Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

Pwc is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Power BI
  • Spark
  • Dask
Where the posting names them
About the team Interested in data, Python or SQL and looking for a part-time opportunity alongside your studies? Join our Financial Crime team and discover how data and technology can help fight money laundering and financial fraud. You will work alongside experienced Data Analysts, Engineers, Scientists and AML Compliance Experts on real client projects. You’ll learn how to analyse customer and transaction data, understand patterns and turn data into meaningful insights. Previous experience in Financial Crime is not necessary. What matters most is your interest in data, willingness to learn and motivation to develop your technical skills in a real business environment. Job description & summary
- Development of new forms of visualisations - Programming in SQL and Python 5% Preparing new engagement proposals
- You are currently studying at university, ideally Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field - Basic knowledge of Python and SQL - Interest in working with data and understanding its business meaning and basic understanding of statistics and data analysis
What will help you stand out - Previous experience with Python, SQL, data visualisation or data analysis through university projects, internships or your own projects - Interest in Banking, Financial Crime or AML
- Interest in Banking, Financial Crime or AML - Experience with tools such as Power BI, Spark, Dask or similar is a plus Why you’ll enjoy working here
- An opportunity to give back to the community with one paid volunteering day every year. - 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). - A buddy programme, regular feedback, and access to a coach who can support your professional development and career path.

Your next step

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Job Description & Summary

About the team


Interested in data, Python or SQL and looking for a part-time opportunity alongside your studies? Join our Financial Crime team and discover how data and technology can help fight money laundering and financial fraud. You will work alongside experienced Data Analysts, Engineers, Scientists and AML Compliance Experts on real client projects. You’ll learn how to analyse customer and transaction data, understand patterns and turn data into meaningful insights. Previous experience in Financial Crime is not necessary. What matters most is your interest in data, willingness to learn and motivation to develop your technical skills in a real business environment.


Job description & summary


80% Work on client engagements

  • Assessing, validating, implementing and optimising systems for detecting financial crime
  • Analysing data mainly about customers and their transactions
  • Transforming data and understanding its business meaning
  • Assessment of data quality
  • Suggesting how to improve the monitoring systems
  • Communication with clients

10% Development our digital assets

  • Creating data pipelines an automated controls
  • Development of new forms of visualisations
  • Programming in SQL and Python

5% Preparing new engagement proposals

5% Staying up-to-date with developments in the field of data analysis


What matters to us


  • You are currently studying at university, ideally Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Economics, Finance or a similar field
  • Basic knowledge of Python and SQL
  • Interest in working with data and understanding its business meaning and basic understanding of statistics and data analysis
  • Curiosity and eagerness to learn about Financial Crime and AML
  • Good written and spoken English

What will help you stand out


  • Previous experience with Python, SQL, data visualisation or data analysis through university projects, internships or your own projects
  • Interest in Banking, Financial Crime or AML
  • Experience with tools such as Power BI, Spark, Dask or similar is a plus

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 15,000 points to spend on what matters most to you.
  • The option to set your working schedule flexibly.
  • An opportunity to give back to the community with one paid volunteering day every year.
  • 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).
  • 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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Prague

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