Harnham
Senior AI and Data Engineer 199436

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Senior AI and Data Engineer
London (Hybrid, 2 days per week) | £80,000 to £90,000
This is an opportunity to join a business at a pivotal stage of its AI transformation. With strong executive sponsorship, a clear roadmap of projects, and equity on offer ahead of the next private equity cycle, you will deliver impactful AI solutions that are actively shaping how the organisation operates.
The Company
They are a well established professional services firm with a large and diverse client base, backed by private equity and investing heavily in data and AI. The business is undergoing a significant transformation, with multiple AI initiatives already scoped and ready for delivery. Working alongside a small, high impact team, you will be closely connected to senior stakeholders and have real influence over technical direction. Their focus is on embedding AI across core business functions to drive efficiency and insight.
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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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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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Role
You will take ownership of end to end AI product delivery, building production ready solutions that integrate with business systems and workflows.
- Design, build and deploy AI applications from concept through to production
- Develop LLM powered tools and agentic workflows to automate internal processes
- Deliver use cases such as AI generated reporting, commercial intelligence, and internal knowledge agents
- Integrate AI solutions into existing platforms and systems
- Contribute to Azure based data engineering, including pipelines and data modelling
- Work across multiple projects, shaping delivery and prioritising impact
- Collaborate closely with business stakeholders to scope and deliver solutions
Your Skills and Experience
- Strong commercial experience building production AI applications in a cloud environment
- Hands on expertise with LLMs, prompt engineering, and agent based workflows
- Data engineering capability, including ETL processes, orchestration, and working with large datasets
- Ability to design and deploy scalable, reliable systems
- Experience working with modern AI tooling and development workflows
- Strong communication skills with the ability to work directly with non technical stakeholders
- A proactive, hands on mindset with a focus on delivering outcomes


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What They Offer
- High ownership role within a small, growing AI team
- Exposure to a wide range of AI initiatives with strong leadership backing
- Clear opportunity to shape the future direction of AI within the business
How to Apply
To find out more or apply, please submit your CV.
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