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R&D Engineer - Analytics Innovation

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Spencer Rose Ltd
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 GBP Yearly GBP 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

London (Hybrid)
Up to £120,000 + Benefits

A leading London-based actuarial analytics and consulting organisation is seeking a highly academic and technically strong R&D Engineer to join its specialist innovation team.

This is a highly project-focused role working across multiple actuarial and consulting teams, researching and developing new analytical models, algorithms, and technical solutions to solve complex real-world business problems.

You will operate as an internal technical specialist, applying advanced mathematical, statistical, and computational techniques to design innovative analytics capabilities and production-grade tools.

No prior insurance experience is required.

Key Responsibilities
  • Deliver applied research and technical innovation projects

  • Translate complex business and actuarial problems into technical solutions

  • Design and develop analytical models, algorithms, and data pipelines

  • Build tools and prototypes using Python and modern data science techniques

  • Work closely with actuarial, consulting, and engineering teams

  • Contribute to development of new intellectual property and analytics capabilities

  • Evaluate and implement emerging technologies including AI and machine learning

This role offers significant variety, working across multiple projects and problem domains.

Required Skills & Experience
  • Master's degree or PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or similar)

  • Strong programming skills in Python, R, or similar

  • Excellent mathematical modelling and analytical skills

  • Experience working with large or complex datasets

  • Ability to solve complex technical problems

  • Strong communication skills

Desirable Experience
  • PhD or research background

  • Machine learning or AI experience

  • Algorithm development or optimisation

  • Scientific computing or advanced analytics

  • Experience developing analytical software or tools

Salary & Benefits
  • Up to £120,000 base salary

  • Hybrid working (London)

  • Highly technical, research-driven environment

  • Opportunity to work on cutting-edge innovation projects

  • Excellent career progression

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