Data & Analytics Industrial Placement 2027 (12 months) – Newcastle upon Tyne

Job title: Data & Analytics Industrial Placement 2027 (12 months) – Newcastle upon Tyne

Oliver Wyman

This 12-month industrial placement at Oliver Wyman’s Data & Analytics team in Newcastle upon Tyne offers students the opportunity to work on real-world projects across multiple industries. The role involves collaborating with clients and colleagues to develop and implement analytical solutions, such as NLP-based machine learning, portfolio decarbonisation, and AI-driven risk modelling. Candidates must hold a Bachelor’s, Master’s, or PhD in a quantitative or STEM discipline and demonstrate strong analytical, documentation, and communication skills. The placement is full-time, 100% industry-based, with no study required during the 12 months. Applicants should be able to work independently, manage deadlines, and maintain confidentiality. Occasional travel may be required. Interviews and application deadlines are set for 2027.

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.

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
• Performing commercial due diligence on a AI maritime collision detection software system and the impacts of future regulatory changes
• Implementing AI to remediate billing discrepancies for a portfolio company
• Assessing the AI readiness of companies on behalf of a UK Private Equity firm
• Restructuring the pricing proposition of a financial services firm as part of a value creation plan

What do you look for in applicants?

• Bachelor's, Master’s, or PhD in a quantitative/STEM discipline from a top academic program
• Candidates who are excited to work in an entrepreneurial environment, focused on delivering impact
• Strong analysis, documentation, and communication skills
• Ability to work independently and under limited supervision respecting defined timelines
• Ability to find innovative, practical and flexible solutions to business issues
• Present effectively results, potential issues and implications
• Excellent command of English language (verbal and written)
• Ability to manage a heavy work volume and meet deadlines in an extremely fast paced environment
• Ability to maintain and respect confidentiality
• Willingness to travel occasionally

NB: This role is for those looking for a placement which is 100% in industry. No study is required during the 12 months. This placement will form a requirement of your degree.

START DATE: MONDAY 21st JUNE 2027

Oliver Wyman is a business of Marsh, a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. To learn more, please follow us on LinkedIn, Instagram or Twitter.