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Oliver Wyman - Data & Analytics Research Fellowship upon Tyne

Job in Newcastle, Tyne and Wear, SY7, England, UK
Listing for: Marsh
Full Time position
Listed on 2026-01-12
Job specializations:
  • Business
    Data Scientist
Job Description & How to Apply Below

Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne

Marsh Newcastle Upon Tyne, England, United Kingdom

Who We Are

Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non‑profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.

What You Will Do
  • Designing solutions for complex problems using the latest research in data science, advanced analytics and AI.
  • Implementing prototypes and measuring their effectiveness.
  • Engaging in discussions with colleagues to share ideas and show results.

Your contributions will be crucial for creating cutting‑edge products and carrying out advanced research and development within Oliver Wyman.

Notable DNA Projects
  • Developing an NLP‑based machine learning toolkit to predict credit rating downgrades using news articles.
  • Exploring novel GenAI architectures and validation methods for customer‑facing tools in the financial sector.
  • Modelling portfolio decarbonisation strategies leveraging advanced analytics techniques for large European banks.
  • Identifying supply chain risks by combining multiple live data feeds and developing a bespoke AI‑based risk methodology.
Why Join us?
  • You’ll have access to the latest technologies and constantly expand your toolkit with each new endeavour.
  • You’ll be working on cutting‑edge research applying the latest ideas in AI, data and analytics to real‑world problems.
  • You’ll be part of a collaborative team, supported by experienced mentors and colleagues throughout your fellowship.
  • You’ll have a dedicated buddy and a talent manager to help you navigate your professional path during your placement.
  • We care deeply about sustainable work‑life quality, providing you with the flexibility to balance your work with your personal life.
Who Can Apply?
  • PhD students or early‑career researchers in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science or Engineering with capacity for at least a three‑month fellowship.
  • Data‑driven mindset and the ability to clearly explain complex ideas to colleagues.
  • Familiarity with analytical methods in Python, R, or equivalent tools.
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment.
  • Excellent command of the English language (verbal and written).
  • You are aged 18 or over at the start of the placement.
  • You have the right to work in the UK.
  • Interest or experience in financial services and risk management is a plus.
  • Applicants with access to funding to support the fellowship will be preferred.
How to Apply

Please submit your CV, cover letter and transcripts. In your cover letter, indicate whether you have funding available to support this PhD placement. If so, specify the amount of funding you can provide and the source(s) of this funding.

Applicants seeking to strengthen their fellowship applications are encouraged to explore funding opportunities such as the Royal Society’s Industry Fellowships and Short Industry Fellowships, along with a wide range of funding programs offered by UK Research and Innovation (UKRI).

Equal Opportunity Employer

Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies. Marsh & McLennan Companies and its affiliates are EOE/Miniory/ Female / Disability / Vet / Sexual Orientation / Gender Identity employers. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process.

If you have a disability that may require reasonable adjustments, please contact us at rea

Seniority level

Not Applicable

Employment type

Internship

Job function

Information Technology

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