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For Companies At a Glance
- Tasks: Tackle global challenges using data science, AI, and advanced analytics.
- Company: Join Oliver Wyman, a leading global management consultancy.
- Benefits: Gain hands-on experience, mentorship, and flexible work-life balance.
- Why this job: Make a real impact while working on cutting-edge research projects.
- Qualifications: PhD students or early-career researchers in quantitative disciplines welcome.
- Other info: Collaborative environment with excellent career growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
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.
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?
PhD students or early-career researchers 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.
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. Applications are reviewed individually aligned to university intake cycles. Oliver Wyman is an equal opportunity employer.
Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne employer: GB043 Oliver Wyman (UK) Limited
Contact Detail:
GB043 Oliver Wyman (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current or former Oliver Wyman employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data & Analytics Research Fellowship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by diving deep into the latest trends in data science and analytics. Be ready to discuss how you can apply these concepts to real-world problems, just like the projects at Oliver Wyman. Show them you’re not just a candidate, but a future innovator!
✨Tip Number 3
Practice your problem-solving skills! Oliver Wyman loves tackling complex challenges, so brush up on your analytical thinking. You might even want to simulate some case studies to get comfortable with presenting your ideas clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye out for any events or webinars hosted by Oliver Wyman – they’re a great opportunity to learn more and make a lasting impression.
We think you need these skills to ace Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & Analytics Research Fellowship. Highlight relevant skills and experiences that align with the role, especially in data science and analytics. We want to see how you can contribute to solving complex problems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background fits with Oliver Wyman's values. Don’t forget to mention any funding you have available for the fellowship!
Showcase Your Analytical Skills: Since this role involves advanced analytics, be sure to include examples of your analytical work. Whether it's projects from your studies or personal projects, we want to see how you approach problem-solving using data.
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands and stands out to our team!
How to prepare for a job interview at GB043 Oliver Wyman (UK) Limited
✨Know Your Data Science Stuff
Make sure you brush up on your data science and analytics knowledge. Be ready to discuss specific tools and methodologies you've used, especially in Python or R. They’ll want to see how you can apply your skills to real-world problems, so think of examples that showcase your expertise.
✨Show Your Collaborative Spirit
Oliver Wyman values teamwork, so be prepared to talk about your experiences working in groups. Share stories that highlight your ability to collaborate and communicate effectively with others. This will show that you can thrive in their inclusive environment.
✨Prepare for Problem-Solving Questions
Expect to face some complex problem-solving scenarios during the interview. Practice articulating your thought process clearly and logically. They might ask you to design a solution on the spot, so think about how you would approach challenges using data science techniques.
✨Express Your Passion for Innovation
Oliver Wyman is all about innovation and cutting-edge research. Make sure to convey your enthusiasm for exploring new ideas in AI and analytics. Discuss any projects or research you’ve done that align with their focus areas, like financial services or sustainability.
