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About the Company
This is a rare opportunity to join a business that is rapidly scaling its AI capabilities as part of a major Data Transformation 2.0 programme. The foundations are already in place, multiple repositories, a modern data stack, and strong executive sponsorship, and now the focus is on making data truly ready, reliable, and usable so the organisation can accelerate AI delivery next year.
About the Role
You’ll help shape a gold-standard approach to applied AI: building responsibly, testing rigorously, and ensuring models and automations are grounded in clean, trustworthy data. This isn’t a role for an established AI engineer; it’s for someone curious, hands-on, and excited to bring structure to complex problems.
Responsibilities
- Build and maintain AI-driven tools, automations, and prototypes
- Develop Python-based solutions that integrate with existing systems
- Work closely with data engineering teams to ensure data is clean, reliable, and ready for AI workloads
- Apply responsible AI principles, including bias assessment and robust testing
- Help define best practices and contribute to a gold-standard AI engineering approach
- Support the creation of orchestration layers across multiple AI platforms
- Collaborate with stakeholders to refine use cases and deliver measurable value
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.
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.
Qualifications
You don’t need loads of AI delivery behind you, but you do need curiosity, practical experience, and a willingness to learn fast.
Required Skills
- Hands-on with Python and at least one modern AI platform
- Comfortable experimenting, iterating, and learning quickly
- Able to bring clarity to ambiguous requirements
- Strong communicator who can explain technical concepts simply
- Passionate about building AI responsibly and safely


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Preferred Skills
- Are comfortable working in ambiguity
- Bring structure and clarity to complex, messy problems
- Think logically and methodically
- Understand the importance of rigorous testing
- Can assess bias and build responsibly
- Enjoy collaborating across data, engineering, and product teams
Pay range and compensation package
Be part of a major AI and data transformation with real executive backing. Work with a modern AI ecosystem and cutting-edge tools. Help define how AI is built, tested, and scaled across the organisation. Join a team with big plans for next year, and play a key role in shaping them.
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
“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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