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Oliver Wyman - Data & Analytics Summer Internship 2027 - Newcastle

Marsh
NewcastleBank

Expected closing date: Friday, 15 January 2027

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TL;DR

Key Takeaways

  • 10-week Data & Analytics Summer Internship at Oliver Wyman.
  • Gain experience in developing analytical solutions, implementing prototypes, and client engagement.
  • Projects include NLP, machine learning, AI, and GenAI chatbot validation.
  • Must be in penultimate year of a quantitative/STEM degree and have the right to work in the UK.
  • Applications close Friday 15th January 2027.

About the Role

Data and Analytics - 10 week Summer Internship

Oliver Wyman's Data and Analytics (DNA) division, established in 2017, is a dynamic and rapidly growing global team of quantitative analytics specialists. We collaborate closely with colleagues across multiple industries, including Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.

We believe in the power of diverse perspectives and collaborative teams to drive innovation. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work.

What You Will Do

As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels, helping clients solve their most pressing challenges. You will be involved in:

  • Designing potential solutions for analytical challenges.
  • Implementing various prototypes while also assessing their effectiveness.
  • Engaging in discussions with clients and colleagues to share ideas.

Notable projects include:

  • Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles.
  • Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks.
  • Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit.
  • Validating a customer-facing GenAI chatbot for an American bank.
  • Developing probability of default and loss models in Python for European and UK-based banks.
  • Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology.
  • Developing a next best action model to reduce customer churn for a global telecom company.

Why Join Us?

  • Steep learning curve: No two weeks are ever the same.
  • Global experience: Opportunity to travel internationally and gain insights across different cultures.
  • Latest technologies: Constantly expand your toolkit with new endeavors.
  • Supportive environment: You will have a dedicated buddy and a talent manager to guide and coach you.
  • Work-life balance: We care deeply about sustainable work-life quality and provide flexibility.

This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together.

Who Can Apply?

  • Applicants in their penultimate year of study in a quantitative/STEM discipline (e.g., Data Science, Mathematics, Economics, Natural Sciences, Statistics, Engineering).
  • Data-driven mindset and proficiency with numbers, with the ability to explain sophisticated data science concepts clearly.
  • Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies.
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment.
  • Aged 18 or over at the start of the internship.
  • Excellent command of the English language (verbal and written).
  • Right to work in the UK.
  • Interest and experience in financial services and risk management is a plus.

START DATE: MONDAY 21st JUNE 2027

How to Apply?

Please submit your CV and cover letter.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting.