Harnham
Senior Data Scientist

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Senior Data Scientist
London (Hybrid) | Up to £95,000 plus bonus
If you are motivated by building real, production-grade AI rather than experimentation, this is a strong opportunity to take ownership of high-impact projects in a scaling AI function. You will work at the intersection of machine learning and generative AI, delivering solutions that are already embedded into business workflows and driving measurable outcomes.
The Company
They are a large, established organisation operating at scale, with a strong focus on data and AI as key drivers of growth. Backed by a global group, they are investing heavily in advanced analytics, machine learning, and generative AI capabilities. Their AI team is expanding, with multiple initiatives already live and more in development. You will be joining a collaborative environment where data, engineering, and product teams work closely to deliver production-ready solutions.
The Role
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.
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 act as a Senior Data Scientist with a strong engineering focus, owning end-to-end delivery of AI solutions in a production environment.
- Lead the design, build, and deployment of machine learning and AI applications
- Take ownership of key initiatives from concept through to production and business adoption
- Develop solutions including AI assistants, recommendation systems, summarisation tools, and underwriting models
- Work across Python, SQL, cloud platforms, APIs, and modern MLOps practices
- Build and deploy solutions using LLM frameworks, RAG architectures, and agent-based systems
- Partner with stakeholders to translate business problems into scalable AI solutions
- Contribute to best practices in governance, monitoring, and responsible AI deployment
Your Skills and Experience
- Strong commercial experience delivering machine learning or AI solutions in production environments
- Expertise in Python and SQL for data analysis, modelling, and deployment
- Experience working with cloud infrastructure, ideally GCP, and CI/CD pipelines
- Solid understanding of machine learning fundamentals and deployment best practices
- Exposure to generative AI, LLMs, or retrieval augmented generation is valuable
- Ability to communicate effectively with both technical and non-technical stakeholders


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What They Offer
- Salary up to £95,000 plus a competitive bonus scheme
- Hybrid working with two days per week in a London office
- Strong pension contribution and comprehensive benefits package
- Private healthcare and a range of wellbeing and lifestyle benefits
- Opportunity to work on visible, business-critical AI programmes
- A clear pathway for progression within a growing AI team
How to Apply
If you are interested in building and deploying impactful AI solutions in a collaborative and evolving environment, please apply with your CV.
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