Omnis Partners
Data & AI Consultant

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Data & AI Delivery Consultant
PE-backed consultancy in the Finance Space
💰£65k – £80k + 40% bonus
📍Covent Garden, London | Onsite
What's in it for me?
- Exposure to working in a PE-backed business. With more investment flooding into the market, gaining direct exposure to how a PE-backed org transforms, grows and prioritises commercial gain is invaluable in today's highly competitive candidate market
- Take on a pivotal role in enabling AI adoption across the org, wearing a commercial hat to boot
- Take your consulting skills 'in-house' and support teams vertically and horizontally to embed, own and ensure success of AI. as well as demonstrating commercial gain. A rising role in the current market
We are partnering with a successful PE-backed consultancy to appoint a commercially focused Data & AI Delivery Consultant.
The business has already established a strong data architecture and launched several successful AI applications. It is now looking for someone to help shape and deliver the next phase of its data, AI and automation roadmap.
This is not a developer or engineering role.
You will act as the bridge between business stakeholders, Product and Engineering, identifying valuable opportunities, translating business challenges into clearly scoped initiatives and ensuring new solutions are successfully delivered and embedded.
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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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.
You will:
- Engage with commercial and client-facing teams to understand their priorities, challenges and workflows
- Identify where data, AI and automation could improve client delivery, efficiency, quality or commercial performance
- Assess and prioritise opportunities based on value, feasibility, risk and effort
- Build business cases, define success measures and translate ideas into clear delivery scopes
- Coordinate delivery across stakeholders, Product and Engineering
- Support user testing, feedback and iteration throughout the build process
- Lead rollout, training and adoption across the business
- Track outcomes and demonstrate the commercial impact of new solutions
The Engineering team will undertake the majority of the technical build. Your responsibility is to ensure the right problems are being solved, and that the resulting tools genuinely work for the people using them.
You are likely to have proven experience in consulting, product, proposition, transformation, project delivery, business analysis or a commercially focused data role.


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You will bring:
- Strong commercial judgement and the ability to connect technology with measurable business value
- Excellent stakeholder management and communication skills
- Experience owning cross-functional initiatives from discovery through to delivery and adoption
- A structured approach to prioritisation, project management and problem-solving
- Confidence working with senior, commercial and technical stakeholders
- The initiative and resilience to thrive in a fast-paced, evolving PE-backed environment
You do not need to be a developer. However, you should have enough technical curiosity and understanding to work credibly with Product and Engineering teams.
Experience with data, analytics, AI, automation, Power BI, Microsoft Power Platform or tools such as n8n would be advantageous. Previous exposure to financial services, professional services or another regulated environment would also be valuable, but is not essential.
The opportunity
This is a highly visible role with the opportunity to shape an important business-wide agenda, work closely with senior leadership and turn emerging data and AI capabilities into tangible commercial outcomes.
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