Harnham
Senior Data Scientist

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Senior Data Scientist
Senior Data Scientist
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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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.
London (Hybrid, 2 days onsite)


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The Company They are a large, established organisation operating at scale, with a strong focus on using data and AI to drive innovation across their products and services. The business is undergoing a significant AI transformation, with over ten active AI initiatives spanning areas such as automation, personalisation, and internal tooling. Their data science function is at the core of this journey, working closely with product and engineering teams to deliver tangible impact. The environment is fast-paced and collaborative, with a strong emphasis on building production-ready AI solutions and embedding them into core business processes.
The Role As a Senior Data Scientist, you will focus on delivering AI solutions that drive automation and efficiency across the organisation. You will take ownership of key projects and work across the full model lifecycle in a production environment. Lead the development and deployment of AI and machine learning solutions across multiple business areas Own and deliver end to end AI initiatives, from problem definition through to production Work on a range of use cases including internal chatbots, LLM applications, summarisation tools, underwriting automation, and AI sales assistants Collaborate with product managers and engineers to ensure solutions are scalable and aligned to business needs Implement and maintain MLOps best practices, including monitoring and model lifecycle management Engage with senior stakeholders, translating technical outputs into clear business value Contribute to the ongoing development of AI capability across the team Your Skills and Experience Strong commercial experience in data science with a recent focus on AI and machine learning Proven experience building and deploying production-level AI solutions Experience working with GCP and modern cloud-based data environments Hands-on experience with MLOps, including deployment, monitoring, and scaling models Exposure to generative AI techniques such as LLMs and Retrieval Augmented Generation Strong stakeholder management and communication skills across technical and non-technical teams Experience working in larger, complex organisations with multiple concurrent workstreams What They Offer Competitive pension scheme Private healthcare Hybrid working with two days per week in their London office Opportunity to work on high-impact AI initiatives with real business visibility Clear progression within a growing and strategically important team How to Apply If you are interested in applying your data science and AI expertise in a high-impact environment, please get in touch to learn more.
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