Who We AreOliver 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.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.What You Will DoAs a member of Oliver WymanData & 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.Notable projects include:Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles click here for more informationModelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banksOptimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkitValidating a customer-facing GenAI chatbot for an American bankDeveloping probability of default and loss models in Python for European and UK-based banksIdentifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology click here for more informationDeveloping a next best action model to reduce customer churn for a global telecom companyWhy Join us?Expect a steep learning curve, as no two weeks are ever the same. Youhave the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, youconstantly expand your toolkit with each new endeavor.You wonalone on this journey; various colleagues will guide and coach you throughout your career. Youhave a dedicated buddy 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 youexcited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboardWho Can Apply?Applicants in their penultimate year of study in a quantitative discipline. Ideally Mathematics, Statistics, Physics, Computer Science or, Engineering with strong quantitative applications.Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleaguesIdeally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologiesStrong commitment to teamwork and resilience in a creative and constantly changing environmentYou are aged 18 or over at the start of the internshipExcellent command of the English language (verbal and written)You have the right to work in the UKInterest and experience in financial services and risk management is a plusSTART DATE: MONDAY 23RD JUNE 2025bHow to Apply?Please submit your CV, cover letter and transcripts. Iffyou wouldflike to find out more information about Oliver Wyman, please visitfour websiteforfalternatively, apply to attend one of our events, details of which can be foundfhere.Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies. To learn more, please follow us onfLinkedIn, Instagram orfTwitter.Marsh & McLennan Companies and its Affiliatesfare EOEfMinority\/Female\/Disability\/Vet\/SexualfOrientation\/ Gender Identity employers.Closing date for applications is 15th January 2025. We do reserve the right to close this opportunity early.