Nicholson Glover
Data Science Manager (Gen AI)

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Data Science Manager (Gen AI)
Data Science Manager (Gen AI) | AI Tech Start-Up | Up to £120,000 + Shares | London / Hybrid (1 Day Office)
We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Data Science Manager (Gen AI).
This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation.
The Company
This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.
Their digital AI agents provide always-on, intelligent insights - supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.
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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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.
The Role
As Data Science Manager (Gen AI), you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.
You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.


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The Candidate
Key attributes of the suitable Data Science Manager (Agentic AI) include:
- Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
- Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic
- Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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