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Harnham

Senior Data Scientist

London
£70k – £80k/yr
Posted about 23 hours ago
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Senior Data Scientist

£70,000–£80,000 + £5,000 Car Allowance + Bonus
London (Hybrid – 2x Days a Week in Office)

If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK's strongest data science functions!

The Company

This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers. With significant investment in technology, data, and AI, the business continues to grow rapidly and is looking to expand its Alternative Pricing Product team with a Senior Data Scientist. You'll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production!

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

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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The Role

Reporting into the Head of Pricing, you'll join a specialist team responsible for developing next-generation pricing models that challenge conventional approaches. Working across large and complex datasets, you'll build predictive machine learning models using alternative data sources to improve customer pricing and risk selection.

Projects include:

  • Building innovative predictive machine learning models
  • Developing pricing and customer selection models
  • Exploring alternative data sources to improve pricing accuracy
  • Geospatial and footprint modelling
  • Residual and claims modelling
  • Working with messy, high-volume datasets to uncover commercial insights
  • Deploying models using Azure Machine Learning
  • Mentoring junior team members and helping shape best practice across the team

This is an opportunity to influence products that impact millions of customers whilst working on genuinely novel modelling challenges.

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Your Skills & Experience

  • Experience building machine learning models
  • Strong Python skills
  • Experience developing predictive models within commercial environments
  • Experience working with large, complex datasets
  • Experience with cloud-based ML platforms (Azure ML preferred)
  • The ability to communicate technical findings to non-technical stakeholders
  • Experience mentoring or supporting more junior data scientists is advantageous

Experience within insurance or financial services would be beneficial, although candidates from other highly analytical industries are also encouraged to apply.

The Benefits

  • £70,000–£80,000 salary
  • £5,000 annual car allowance
  • Bonus

How to Apply

To register your interest in this opportunity, please send your CV via the application link.

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Skills

Machine Learning
Python
Predictive Modelling
Azure Machine Learning
Data Analysis
Geospatial Modelling
Claims Modelling
Stakeholder Communication
Mentoring
Financial Services

Location

London, England, United Kingdom

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