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Xcede

AI & Data Consultant

London
£80k – £95k/yr
Posted about 15 hours ago
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We're recruiting on behalf of a family office-backed investment group, spanning private equity, M&A advisory, and outsourced finance, with a portfolio of UK businesses ranging from a listed consumer brand through to smaller, high-growth acquisitions. The group takes a genuinely hands-on approach to value creation, working closely with the leadership teams of the businesses it invests in rather than sitting at arm's length, and is now investing seriously in data and AI as a core lever for growth across the portfolio.

What the Role Involves

We're hiring a Data & AI Consultant to take ownership of analytics, data infrastructure, and AI-driven value creation across the group's portfolio companies. You'll work directly with the leadership of each business, including CEOs, CFOs, CMOs, and their teams, to understand where data and AI can genuinely move the needle commercially, then build and deliver it.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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.

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Strong

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.

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Strong

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.

This spans everything from analytics, modelling, and dashboards through to increasingly sophisticated AI-driven products, across businesses at very different stages of data maturity. Some have well-established infrastructure, others are still working largely from spreadsheets. It's a genuinely greenfield opportunity in places, with real scope to set the playbook for how AI gets adopted across the group over the next few years, rather than inheriting a fixed roadmap.

You'll also work closely with an offshore data and automation team, helping shape how their day-to-day work plugs into the broader portfolio strategy.

Given the seniority of the stakeholders involved, this is as much a role about influence, communication, and commercial judgement as it is technical depth.

What We're Looking For

  • Strong foundation in Python and SQL
  • Experience building models for real commercial use cases (e.g. propensity, clustering, regression)
  • Comfortable working with tools like PySpark, Databricks, Tableau, or Power BI (nice to have, not essential, since the group uses a mix across its businesses)
  • A track record of translating technical work for non-technical, senior stakeholders, ideally including direct exposure to C-suite level conversations
  • Genuine curiosity and adaptability when it comes to new AI tools is important, more so than existing AI-specific experience. This isn't a role that requires deep GenAI expertise on day one, but someone who's genuinely interested in how AI can be applied to real business problems and keen to learn as the space develops
  • Comfortable operating with a fair amount of ambiguity, and building structure where it doesn't yet exist

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This role is based in London, with a hybrid working pattern.

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Skills

Python
SQL
Commercial Modeling
PySpark
Databricks
Tableau
Power BI
Stakeholder Management
C-suite Communication
Data Infrastructure
AI Implementation
Analytics

Location

London, England, United Kingdom

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