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AI/ ML Research Consultant

Cambridge
Posted 1 day ago
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A technology consultancy delivering applied research and engineering for clients tackling complex, high-stakes technical problems. The organisation is growing its technical team and offers structured mentorship from senior scientists and engineers.

What The Job Involves

The role centres on applying machine learning to unusual, real-world problems, often without an existing playbook to follow. You’ll combine off-the-shelf tools with custom-built components, moving between understanding the theory behind a model and getting a working version built and tested.

Responsibilities

Work is organised around projects running from early conceptual exploration through to functioning prototypes, lasting anywhere from a few months to a couple of years. Responsibilities generally include:

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.

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.

  • Reviewing relevant technical literature and staying current with the field
  • Forming and testing new ideas or hypotheses
  • Building and training models for non-standard applications
  • Rapid, hands-on prototyping and debugging
  • Running structured experiments
  • Interpreting and reporting on results
  • Recommending next steps or further research directions

There’s also a client-facing element — understanding client needs and translating them into workable technical solutions.

Candidate profile

  • A strong degree in a quantitative or technical field (maths, physics, engineering, computer science, or similar)
  • Some evidence of research capability, from postgraduate study, personal projects, or applied experience
  • Confident Python developer, comfortable with at least one common ML framework
  • Broad exposure to different ML approaches, or a track record of picking up new areas quickly
  • A rigorous, analytical mindset with genuine curiosity about the field
  • Strong written and verbal communication
  • Able to work independently and within a small technical team

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This is a full-time, site-based role.

What’s On Offer

  • Competitive salary with performance-related bonus
  • Strong pension contribution
  • Private healthcare
  • Additional wellbeing and lifestyle benefits typical of a well-funded technical employer

Note: UK security clearance eligibility may be required. Visa sponsorship is not available for this role.

Please contact Charles Duran for more information.

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Skills

Machine Learning
Python
Prototyping
Debugging
Research
Analytical Skills
Communication
Model Building
Experimentation
Technical Literature Review

Location

Cambridge, England, United Kingdom

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