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Technology Risk Data Analytics Graduate Programme

targetjobs Hired
London
11 months ago
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Undergraduate Data Science Placement

2026 Data Scientist Graduate Programme - Insurance Consulting - London/Reigate

2026 Data Scientist Graduate Programme - Insurance Consulting - London/Reigate

2026 Data Scientist Graduate Programme - Insurance Consulting - London/Reigate

Undergraduate Data Science Placement

Data Science and AI Masters Placement Scheme (Bristol)

Programme overview

Become a pivotal part of our team, where your analytical skills will drive data-driven decision-making and risk management for global clients. Leveraging our suite of proprietary analytics tools, you’ll delve into diverse data sets to uncover risks and deliver bespoke solutions that enhance business processes.

Embrace the opportunity to work with cutting-edge technologies and methodologies, applying SQL, R, Python, and more to transform data into actionable insights. Your journey with us will be one of continuous learning, innovation, and collaboration, contributing to our mission of shaping the future of audit and assurance services.


What you will be doing

  • Mastering analytical techniques to address complex client challenges.
  • Enhancing your skills in data extraction, analysis, and visualisation.
  • Engaging with state-of-the-art technologies and visualisation tools to bring data to life.
  • Communicating insights and strategic solutions directly to our clients.
  • Collaborating within dynamic project teams to deliver exceptional value to our clients.

Requirements

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in a technology related discipline such as Computer Science, Maths, Statistics, Engineering, Data Science, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply.

Experience with a programming language (such as VBA, SQL, Python, R etc.) is also beneficial along with a passion for data.

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