Xpertise Recruitment
Product Data Scientist - Principal

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Principal Product Data Scientist
West London | Hybrid | Excellent Base Salary + Bonus + Excellent benefits
Overview
A major UK organisation undergoing large scale data transformation are hiring multiple Product Data Scientists from Senior to Principal to build ML and optimisation driven decisioning products. This is a hands on leadership role owning delivery of production grade data products that directly impact real world operations.
Role
You will own the end to end product lifecycle from discovery through to deployment and adoption. Working with stakeholders, you will identify decision points, design ML and optimisation solutions, and lead a cross functional squad to deliver scalable, production ready systems.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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
- Own delivery of ML and optimisation products end to end
- Translate business problems into decision support solutions
- Design scalable models and production architectures
- Lead squads across data science and engineering
- Drive stakeholder alignment and product adoption
- Ensure robust testing, monitoring, and continuous improvement


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Requirements
- Strong hands on ML and optimisation experience
- Advanced Python and modern data tooling
- Proven delivery of production level data products
- Experience leading or mentoring teams
- Clear communicator with strong commercial focus
Experience
- Masters Degree or equivalent in Data Science, ML, or related field
- Experience building or leading scalable ML products
- Background in complex operational environments is a bonus
If you are interested then please apply with an updated CV and we will be in touch.
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Jessica, London
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