IC Resources
AI/ ML Research Consultant

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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.
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.
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.
See breakdownIt 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.
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.
- 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


Get help with your application
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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.
“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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