Data scientists & statisticians Work, Jobs in Burnopfield, Dur (with Salaries)

Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne
Oliver Wyman —Newcastle upon Tyne
- Full-time
- Doctoral degree
- English
- Financial services
Senior Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Travel
- Mentoring
Quick apply
AI Software Engineer
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
Quick apply
AI Engineer
Scrumconnect Consulting —Newcastle upon Tyne
- £58,000 - £74,000 a year
- Hybrid work
- Master's degree
- Machine learning
- AI
AI Software Engineering Specialist
Accenture —Newcastle upon Tyne
- Full-time
- Master's degree
- AI
Oliver Wyman - Associate Team Leader, Team Leader, Director - Data and Analytics - Newcastle
Oliver Wyman —Newcastle upon Tyne
- Full-time
- English
- Master's degree
- Analysis skills
Applied AI Engineer (.NET/C#)
KERRIDGE COMMERCIAL SYSTEMS CORP —Newcastle upon Tyne
- Full-time
- Master's degree
- Software development
- In-person
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Scrumconnect Consulting —Newcastle upon Tyne
- £72,000 - £92,000 a year
- Hybrid work
- Master's degree
- Mentoring
- Scripting

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Senior Applied AI Engineer – Prompting & Evaluation
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Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne

Oliver Wyman -
Newcastle upon Tyne

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Job details

Full-time

Qualifications

Doctoral degree
English
Machine learning modelling
Risk management
Natural language processing
Data analytics
Financial services
Data science
AI
Research & development

Full job description

Company:

Oliver Wyman

Description:

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 o f Re search Fellows and DNA colleagues . The R&D team explore s 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 solv ing some of the world’s biggest challenges. Th is will include:

D esigning solutions for complex problems using the latest research in data science , advanced analytics and AI

I mplementing prototypes and measuring their effectiveness

E ngaging in discussions with colleagues to share ideas and show results

Your contributions will be crucial for creating cutting-edge products and carrying out advance d 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 – click here for more information

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 – click here for more information

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

Yo u’ll be working on cutting-edge res earch 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 research ers in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science or, Engineering with capacity for a t least a three-month fellowship .

Data-driven mindset and the a bility 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, c ould 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, details of which can be found here . Applications are reviewed individually aligned to university intake cycles .

Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies. To learn more, please follow us on LinkedIn , Instagram or Twitter . Marsh & McLennan Companies and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/ Gender Identity employers

Applications are reviewed individually and aligned to university intake cycles.

Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of 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 color, 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 at [email protected].

Marsh McLennan 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 McLennan 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.

Apply Now

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data scientists & statisticians jobs in burnopfield, dur

Oliver Wyman - Data & Analytics Research Fellowship - Newcastle upon Tyne

Senior Applied AI Engineer – Prompting & Evaluation

AI Software Engineer

AI Engineer

AI Software Engineering Specialist

Oliver Wyman - Associate Team Leader, Team Leader, Director - Data and Analytics - Newcastle

Applied AI Engineer (.NET/C#)

Lead AI Engineer

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