Oliver Wyman - Data & Analytics - 6 month Analyst Internship - Newcastle 2026

Who We Are

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. 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.

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating across the entire world, with a focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, 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. At Oliver Wyman and within DNA, we are proud of the values we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.

6-Month Graduate Internship Opportunity

We are excited to offer a 6-month graduate internship within Oliver Wyman’s Data & Analytics team (Start Date: Flexible). This internship provides a unique opportunity to gain practical experience working alongside industry experts and contributing to real client projects.

What You Will Do

As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients.

• 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?

Expect a steep learning curve during your internship, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavour. You won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life. 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. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?

• Bachelor's, Master’s, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.).
• Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues.
• 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.
• Excellent command of the English language (verbal and written).
• Interest and experience in financial services and risk management is a plus.

How to Apply?

Please submit your CV, cover letter and transcripts. If you would like to find out more information about Oliver Wyman, please visit our website or alternatively, apply to attend one of our events. Closing Date: Friday 29th May 2026. We do reserve the right to close the role early should suitable applicants be found.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. We are an equal opportunities employer. 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 reasonableaccommodations@mmc.com. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week.