Harnham
Director of Data Science - Customer Growth & Decision Intelligence

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Do you want to shape the technical future of a growing AI SaaS business? Can you lead Data Science, Data Engineering and Application Development teams through enterprise-scale delivery? Interested in building a Product Engineering organisation with genuine influence on company growth and strategy?
We're partnered with an AI-powered SaaS business helping enterprises unlock value from large-scale first-party customer data through AI, analytics and decision intelligence. Their platform combines Data Science, Data Engineering and application development to deliver customer growth solutions across Financial Services, Insurance, Retail and Healthcare. Having recently secured several major enterprise clients, the business is entering a new phase of growth and platform maturity. This role offers the opportunity to work directly with the CPTO while helping scale the technical organisation and product platform.
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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?
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Graduate Consultant — 2026 Scheme
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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.
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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 is a Director of Product Engineering position responsible for leading Data Science, Data Engineering and Application Development across the business (7 total reports). You'll own technical leadership, architecture, delivery quality and organisational development while supporting enterprise client implementations.
Key Responsibilities
- Lead the Product Engineering organisation across Data Science, Data Engineering and Application Development.
- Build scalable operating models, standards and delivery processes.
- Own technical architecture, solution design and engineering quality.
- Develop technical leaders and mentor multidisciplinary teams.
- Drive collaboration across Data Science, Data Engineering and software development functions.
- Engage with enterprise clients and senior stakeholders on technical strategy and delivery.
- Ensure strong productionisation, governance, deployment and platform reliability practices.


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Key Details
- Salary Range: £140,000 base + share options
- Working Model: 4 days per week onsite in London, with occasional client visits across the UK and Europe
- Tech Stack: Azure, Python, SQL, Spark, Data Science, AI, CI/CD, Production ML
- Visa Sponsorship Status: No sponsorship available
Interested? Please apply below.
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