Harnham
Lead Data Science Consultant - Retail/Consumer Services

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Do you want your data science work to have a measurable impact on revenue, margin, and customer experience? Do you enjoy solving complex pricing, forecasting, and operational problems using machine learning? Would you like to own solutions from initial client problem through to implementation and measurable impact?
A leading UK consultancy is scaling its dedicated AI & Data Science capability, with a major focus on Retail and Consumer Services. Their teams embed directly with large organisations to solve commercially important problems using data, AI, and operational change. Previous work has included AI-powered markdown optimisation delivering a £40m revenue uplift and supplier cost modelling across 300 factories and 16 brands. This is an opportunity to join a growing capability where technical delivery and commercial impact carry equal weight.
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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You’ll lead hands-on Data Science projects across areas including pricing, forecasting, supply chain, and operational optimisation, working directly with client stakeholders. You’ll have ownership from shaping the initial problem through to building, deploying, and embedding solutions into business decision-making.
Key Responsibilities
- Build and deploy machine learning and optimisation solutions for retail and consumer clients
- Solve commercial problems across pricing, forecasting, supply chain, and operations
- Use Python and advanced analytics to turn complex datasets into actionable solutions
- Work directly with stakeholders to define problems, KPIs, and delivery priorities
- Own projects from technical design through to implementation and measurable business impact
- Lead technical delivery and support the development of junior Data Scientists


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Key Details
- Salary: £80,000–£115,000+ base
- Working model: 3+ days/week on client sites across the UK
- Tech stack: Python, SQL, ML, optimisation, Databricks, and modern data tooling
- Visa sponsorship: Not available
Interested? Please apply below.
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