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PwC

Forensic Technology Experienced Senior Consultant or Manager (Data Analytics focused)

PwC is hiring a Forensic Technology Experienced Senior Consultant or Manager (Data Analytics focused) in Prague, Czechia. Level rates it ; you can apply on PwC.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • The posting mentions Databricks, Python and SQL among its tools and skills.
  • Level classes it as a senior role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

Lead end-to-end forensic data analytics projects using Python, SQL, and Databricks to support corporate investigations.

DatabricksPythonSQLAlteryxRelativityone
nlpdata-analyticsforensic-technologyediscoverydata-processing

Job Description & Summary

About the team

Our team of forensic professionals helps clients in difficult situations related to all kinds of fraud and employee misconduct. By combining data analytics, computer forensics, financial and investigative expertise with cutting-edge technology, we advise multinational corporates across sectors and countries that are involved in corporate investigations into fraud, corruption or other wrongdoing.

Joining our team as a Manager (or experienced Senior Consultant), you will be part of the CEE (Central and Eastern Europe) Forensic Technology team, working across a diverse portfolio of forensic data analytics, eDiscovery, complex investigations, compliance reviews and crisis response throughout the EMEA region, in collaboration with global colleagues and leading law firms.

About your Team Leader

Jakub Javorský is the head of PwC’s CEE Forensic Technology team, with 16 years of experience in fraud investigations and fraud risk prevention. He values a strong, close-knit team, positive motivation, continuous upskilling, and multidisciplinary collaboration.

Job description & summary

  • Lead end-to-end forensic data analytics projects, extracting and analyzing transactional data from ERP systems, payment platforms, and other enterprise sources.

  • Design and automate forensic workflows and data processing scripts using Python, SQL, Alteryx, and Databricks to streamline client deliverables and accelerate insights.

  • Manage digital forensics (DFIR) engagements, including forensic data collections from laptops, mobile devices, servers, and databases. Oversee eDiscovery projects using RelativityOne and other leading platforms.

  • Advise clients on complex matters such as employee fraud, intellectual property theft, and third-party risk management.

  • Manage economics of individual projects, manage internal risk management and independence checks.

  • Mentor and supervise team members, manage stakeholder expectations, and translate complex technical findings into clear, outcome-focused reports for diverse audiences.

  • Communicate directly with clients and other stakeholders, ensuring secure and defensible outcomes.

  • Uphold the highest standards of integrity, professionalism, and personal accountability.

What matters to us

  • 5+ years of experience in forensic data analytics or risk analytics, ideally within a Big Four firm, consultancy, or large corporate forensic environment.

  • Strong proficiency in SQL (T-SQL, PL/SQL) and advanced Python programming for data extraction, analysis, and automation.

  • Expertise with data visualization tools such as Tableau, Qlik, or Power BI, and experience with Databricks.

  • Working knowledge of Generative AI, Machine Learning, and Natural Language Processing.

  • Ability to work under tight deadlines and adapt with flexibility.

  • Fluency in English required (ability to produce forensic reports); Czech or Slovak language skills are a plus.

  • Ability to travel for work freely and on short notice within EU.

  • Applicants must be authorized to work and travel in the EU without the need for employment-based visa sponsorship now or in the future.

What will help you stand out

  • Experience conducting financial crime, employee fraud, IP theft, or data breach investigations, including sanctions screening and regulatory compliance.

  • Experience conducting forensic data analytics investigations, sanction screenings, automated 3rd party due diligence or similar.

  • Experience with scripting, AI, and software engineering principles—particularly designing automated solutions for data analytics, eDiscovery, and forensic workflows.

  • Familiarity with eDiscovery platforms (e.g., Relativity) and digital forensic tools (e.g., EnCase, Axiom, FTK, Cellebrite, XRY).

Why you’ll enjoy working here

  • You will not get bored – you will learn new things at every new project.

  • You will be heard – we are looking for a candidate with curious and open mind and will listen to what he or she says.

  • 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 55,000 points to spend on what matters most to you.

  • 35 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). Our technical training will help you understand the full deals transaction lifecycle and how to present our findings to clients in a clear and impactful way. 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.

Ochrana osobních údajů pro žadatele o zaměstnání / Privacy Statement for Recruitment Applicants

#LI-BETHENEXT

How we rate this

Forensic Technology Experienced Senior Consultant or Manager (Data Analytics focused) at PwC rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPData AnalyticsForensic TechnologyEdiscoveryData ProcessingDatabricksPythonSQL

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Tell me about a project where data analytics was part of your work. What did you do?
  3. Tell me about a project where forensic technology was part of your work. What did you do?
  4. Tell me about a project where ediscovery was part of your work. What did you do?
  5. Tell me about a project where data processing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: NLP, Data Analytics, Forensic Technology, Ediscovery, and Data Processing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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