Burns Sheehan
Data Product Manager

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Data Product Manager | Decisioning
📍 London: 1-2 days per week in the office
💵 £100,000-£114,000 + bonus
Are you a Product Manager who wants to sit at the intersection of data science, personalisation and commercial strategy, with real influence over how a business makes decisions at scale?
If so, this could be the ideal next step for you.
As Data Product Manager, you'll wrap around the data science team and own the experimentation paradigm, helping shape the decisioning and personalisation strategy - next best action, next best offer, recommender systems - for a large consumer loyalty business with a genuinely rich and complex data ecosystem. You'll prioritise the DS roadmap, align data science output with front-end product teams, and make sure the team is working on the highest-value bets rather than technically impressive but strategically misaligned ones. This role exists precisely because that alignment gap is real: a fully functional semantic search product was built without front-end buy-in and still isn't in use.
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.
What are they looking for?
- A former data scientist who has moved into product, or equivalent experience turning data science and optimisation work into real products
- Someone who has worked inside a data science function and understands how models actually get built
- Strong product judgement, able to weigh up model development by business impact rather than technical polish alone
- Comfortable holding your own with data scientists on what's feasible and what trade-offs are worth making
- Confidence operating with senior stakeholders, including where priorities genuinely conflict
- A solid grasp of how data science and experimentation work is typically structured and delivered
- A track record of getting models out of testing and into everyday use, not just building something clever


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What's in it for you?
- A rare product role that sits genuinely at the intersection of data science, personalisation and commercial strategy
- Real influence over how decisioning and personalisation work end-to-end, not just at the margins
- A business with a rich, complex data ecosystem and real scale to make an impact in
- A mandate to fix a known problem - misalignment between DS output and front-end delivery - rather than inherit a vague brief
Please get in touch now for more information on both the role and the company!
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