Harnham
Data Scientist - Customer Segmentation

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Do you want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch?
A UK-based boutique consultancy is hiring a Data Scientist to support the design and delivery of data-led products used by major enterprise clients. The business combines consultancy delivery with proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds.
Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ownership than a typical delivery-focused DS role.
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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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This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial performance.
Key Responsibilities
- Build and optimise predictive models including propensity and scoring models
- Prototype new analytical products using Databricks notebooks
- Define product-level features, scoring logic and model outputs
- Conduct data discovery and exploratory analysis across large customer datasets
- Work closely with Product Managers and Analysts to shape new product capability
- Present insights and model outputs to internal and external stakeholders
- Evaluate emerging AI and machine learning techniques for product innovation


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Key Details
- Salary: Up to £65,000
- Location: Hybrid (minimum 2 days in London)
- Tech stack: Python, SQL, Databricks, Azure
- Sponsorship: Cannot sponsor
Interested? Please apply below.
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