McCabe & Barton
Lead Data Scientist

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Lead Data Scientist/Data & Analytics – London Market Insurance
London | Hybrid
We are working with a major international insurance business that is building a new Data and Analytics capability focused on supporting commercial growth across the UK and Europe.
They are looking for a Lead Data Scientist to shape and deliver the data, analytics and AI agenda for this part of the organisation. The role will combine hands-on technical delivery with leadership of a small team of up to five Data Scientists and Analysts.
You will take ownership of a broad programme of work, bringing together complex and fragmented data sources to create meaningful MI, analytical models and commercial insights. The outputs will be used by senior stakeholders to improve decision-making, identify growth opportunities and increase the volume of business written across the UK and European markets.
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.
Key responsibilities
- Lead the data and analytics programme for the UK and European business
- Manage, develop and grow a team of up to five
- Remain hands-on across data exploration, modelling and analytical delivery
- Build MI, dashboards and analytical models for commercial stakeholders
- Assess the existing data landscape and improve how data is consolidated and used
- Identify opportunities to apply AI and advanced analytics
- Translate complex data into clear commercial recommendations
- Partner with teams across broking, placement, operations, technology and data engineering
The broader team will work with insurance, client and market data across areas including pricing, placement, portfolio performance and client segmentation.


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Experience required
- Approximately ten years’ experience within the London insurance market
- Strong experience leading data science, analytics or MI teams
- Proven ability to deliver commercially focused analytics programmes
- Hands-on capability with Python or R, SQL and data visualisation tools
- Experience building analytical or machine-learning models
- Strong understanding of insurance data and broking processes
- Ability to influence senior business and commercial stakeholders
- Comfortable operating in a developing environment where the data landscape is still being established
The role offers the opportunity to build a capability with genuine visibility and influence, rather than inheriting a mature function with a fixed roadmap.
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