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Project Manager – Forensic Analytics

  • : £60,000 – £70,000
  • : Permanent
  • : London
  • : Consultancy

This Role Is Now Closed

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Tel: + 44 (0) 203 772 4567

Forensic Analytics Big Data Data Science AI Project Management

Job Specification

My client is one of the world's most renowned management consultancies. They’re at the forefront of having one of the strongest, fastest growing Forensic Technology practices and they're currently looking for a Project Manager within their Forensic Analytics division.

This is a great opportunity for any Project Manager who has an affinity for Data Analytics and Forensics. It’s a fantastic position to be part of an organisation that is really pushing the boundaries in terms of Forensic Technology innovation.

Key areas:

  • Establish the delivery of analytical projects, working closely with clients and other project stakeholders to understand their requirements
  • Help grow and guide the team to be the leading forensic analytics experts across the country and beyond
  • Assess new technologies to expand the scope of the team’s work and improve its efficiency
  • Design, implement, review and manage innovative solutions for Clients.
  • Utilise open source and vendor software to accelerate the work of their other forensic teams and deliver in depth intel to their clients


  • Experience of leading and managing projects.
  • Ability to lead teams, helping to motivate and influence them in the process
  • Significant experience in at least one of the following technical areas:
    • Data analysis and modelling using standard tools (e.g. SAS, R, Matlab, Scala)
    • Data analysis and modelling using network analysis and graph analytics software (e.g. i2, Neo4j)
    • Strong scripting or programming skills (e.g. C#, VB.net, Java, Python)
    • Analysing vast datasets (e.g. using Hadoop / Hive)
    • Elasticsearch / related Apache stack and text mining techniques
    • Statistical / predictive modelling techniques and machine learning algorithms (e.g. regression, clustering, decision trees)
    • Established and emerging AI technologies

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