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For Companies At a Glance
- Tasks: Design innovative solutions using data science and AI to tackle complex problems.
- Company: Join Oliver Wyman, a leading global management consultancy.
- Benefits: Access to cutting-edge tech, mentorship, and flexible work-life balance.
- Why this job: Make a real impact on groundbreaking projects in data and analytics.
- Qualifications: PhD students or early-career researchers with analytical skills in Python or R.
- Other info: Collaborative environment with excellent career development opportunities.
The predicted salary is between 500 - 1500 ÂŁ per month.
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.
What You Will Do
- 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
- 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 decarbonisation strategies leveraging advanced analytics techniques for large European banks.
- Identifying supply chain risks by combining multiple live data feeds and developing a bespoke AI‑based risk methodology.
Why Join us?
- 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.
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. In your cover letter, indicate whether you have funding available to support this PhD placement. If so, 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).
Equal Opportunity Employer
Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies. 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.
Seniority level: Not Applicable
Employment type: Internship
Job function: Information Technology
Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne employer: Marsh
Contact Detail:
Marsh 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 fellowship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for your interview by brushing up on your data science knowledge. Be ready to discuss your past projects and how they relate to the work at Oliver Wyman. Show us your passion for solving complex problems with data!
✨Tip Number 3
Don’t just apply; engage with the company! Follow Oliver Wyman on social media, comment on their posts, and share relevant articles. This shows your genuine interest and keeps you on their radar.
✨Tip Number 4
Make sure to highlight your teamwork skills in your discussions. Oliver Wyman values collaboration, so share examples of how you've worked effectively in teams. We want to see that you can thrive in a dynamic environment!
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 highlight the skills and experiences that align with the Data & Analytics Research Fellowship. We want to see how your background fits into the exciting projects we tackle at Oliver Wyman.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Don’t forget to mention any funding you have available, as it could strengthen your application.
Showcase Your Technical Skills: Be sure to highlight your familiarity with analytical methods in Python, R, or similar tools. We’re looking for candidates who can dive into complex problems, so let us know what you’ve worked on!
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 to the right people and stands out in the crowd!
How to prepare for a job interview at Marsh
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of data science, advanced analytics, and AI. Be ready to discuss specific projects or techniques you've worked on, especially those that relate to the job description, like NLP or machine learning.
✨Show Off Your Problem-Solving Skills
Oliver Wyman is all about tackling complex problems. Prepare examples of how you've designed solutions in the past, particularly using analytical methods in Python or R. Think about how you can demonstrate your ability to implement prototypes and measure their effectiveness.
✨Engage and Collaborate
Since teamwork is key, be prepared to talk about how you’ve collaborated with others in previous roles. Share experiences where you engaged in discussions to share ideas and results, as this will show you're a great fit for their collaborative culture.
✨Be Clear and Concise
You’ll need to explain complex ideas clearly, so practice articulating your thoughts in a straightforward manner. This will not only help during the interview but also reflect your ability to communicate effectively with colleagues at Oliver Wyman.
