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Whitehall Resources

AI Data Scientist - SC Cleared

England
Posted about 17 hours ago
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AI Data Scientist - SC Cleared

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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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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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Strong

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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Strong

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Whitehall Resources currently require an experienced AI Data Scientist to work with a key client

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Please note this falls INSIDE IR35 and requires SC Clearance

Job description / Key tasks

  • Working within a multidisciplinary analytics team, you will lead the development of advanced analytics, Machine Learning and Artificial Intelligence solutions to support decision-making across Later Life Services.
  • You will work closely with stakeholders across Service Delivery, Digital and Transformation to understand complex business challenges, identify opportunities where data can add value, and deliver actionable insight that improves services for citizens.
  • Using a range of analytical and data science techniques, you will explore large and complex datasets to solve business problems, uncover opportunities for service improvement, and provide clear evidence-based recommendations.
  • You will build strong relationships with colleagues and senior stakeholders, communicating complex analysis in a way that informs decisions and increases understanding of the opportunities and limitations of data science.
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Location

England, United Kingdom

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