The Emerald Group Ltd, Search and Selection
LEAD PRICING SCIENTIST, 30015

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Overview
Key responsibilities, including but not limited to:
- Working closely with colleagues across Distribution, Proposition, Operations, Data and Technology teams, you will lead the development of pricing science capability.
- You will develop and enhance pricing models, deliver commercial insights, identify opportunities to improve pricing sophistication and automation, and support the evolution of next-generation pricing solutions while maintaining robust governance and controls.
- You will lead the development and optimisation of pricing across portfolios.
- Own the end-to-end repricing process, balancing competitiveness, customer outcomes and profitable growth.
- Maintain and enhance pricing methodologies, assumptions and segmentation frameworks.
- Provide pricing recommendations that support commercial objectives and strategic priorities.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications Required


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- Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous.
Experience Required
- Significant experience in pricing, data science, actuarial, analytics or a similar commercially focused role within insurance or financial services.
- Strong pricing and analytical expertise, ideally within the UK protection or life insurance market.
- Advanced modelling and programming capability, including experience with R, Python, SQL, machine learning and predictive analytics.
- Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions.
- Experience developing pricing, risk, propensity or optimisation models and working with large, complex datasets.
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