At a Glance
- Tasks: Design innovative solutions using data science and AI to tackle complex retail challenges.
- Company: Join Oliver Wyman, a leading global management consultancy with a collaborative culture.
- Benefits: Gain hands-on experience, mentorship, and flexible work-life balance during your fellowship.
- Other info: Explore exciting career growth opportunities while contributing to meaningful projects.
- Why this job: Make a real impact by working on cutting-edge research in a dynamic team environment.
- Qualifications: PhD students in quantitative fields with strong analytical skills and teamwork spirit.
The predicted salary is between 19350 - 23650 £ per year.
Company: Oliver Wyman
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.
The Oliver Wyman Data and Analytics (DNA) team is a dynamic and rapidly growing group 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. In addition to high-impact analytics projects, the DNA team has a dedicated R&D function made up of Research Fellows and DNA colleagues. The R&D team explores how new tools and ideas across data science, analytics and AI can be applied in industry.
We’re offering a 3-6 month placement opportunity within our Retail Solutions team as part of your PhD studies. Retail Solutions is a strategic business unit within Oliver Wyman, combining the agility of a tech startup with deep technical expertise. We tackle intellectually demanding challenges in mathematical optimisation, advanced analytics, and software engineering, translating cutting-edge algorithms into scalable products that help leading retailers answer their most complex commercial questions.
Our Values
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 Do
As a DNA Research Fellow, you will work with colleagues at all levels from your first day solving some of the world’s biggest challenges. This will include:
- 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 include:
- 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 decarbonization strategies leveraging advanced analytics techniques for large European banks
- Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology
Why Join us?
Expect a steep learning curve, as no two weeks are ever the same:
- 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.
If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!
Who Can Apply?
- Current and Post PhD Graduates who are studying 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. As part of your cover letter, could you please indicate if you have funding available to support this PhD placement? If so, kindly 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). The Royal Society programs provide targeted funding for long-term research secondments or short-term placements and support industrial research. Meanwhile, UKRI offers fellowships for academics in industry, including programs designed to support researchers' career development and leadership skills. By leveraging these fellowships and grants, applicants can significantly enhance the quality of their application.
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, details of which can be found here.
Applications are reviewed individually and aligned to university intake cycles. 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. 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.
Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin colour, or any other characteristic protected by applicable law. 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.
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. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
Oliver Wyman - Data & Analytics Retail Solutions Research Fellowship - Newcastleupon Tyne in Newcastle upon Tyne employer: Marsh McLennan
Marsh Commercial is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong focus on employee growth, you will have access to ongoing professional development opportunities while working in a hybrid environment that balances flexibility with in-office teamwork. Join us to make a meaningful impact in insurance and risk management, all while being part of a supportive and forward-thinking team.
StudySmarter Expert Advice🤫
We think this is how you could land Oliver Wyman - Data & Analytics Retail Solutions Research Fellowship - Newcastleupon Tyne in Newcastle upon Tyne
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Oliver Wyman - Data & Analytics Retail Solutions Research Fellowship - Newcastleupon Tyne in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Marsh McLennan will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Marsh McLennan
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Marsh McLennan.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Marsh McLennan that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
