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Harnham

Senior Data Scientist

London
£70k/yr
Posted about 22 hours ago
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SENIOR DATA SCIENTIST

UP TO £70,000 + EQUITY
LONDON
HYBRID WORKING - 2 DAYS PER WEEK

Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions.

Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes.

THE COMPANY

A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage.

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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

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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THE ROLE

As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions.

Specifically, you can expect to be involved in:

  • Building and optimising credit risk models, including scorecards and machine learning approaches
  • Deploying models into production and monitoring performance over time
  • Developing data pipelines and integrating multiple data sources into decisioning frameworks
  • Working closely with stakeholders to ensure models directly influence lending strategy and outcomes

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SKILLS AND EXPERIENCE

  • Strong experience developing credit risk models, including scorecards and ML models
  • Proficiency in Python and SQL for data analysis, modelling, and data manipulation
  • Experience working with cloud-based infrastructure (e.g. AWS)
  • Understanding of model deployment and production environments
  • Ability to translate technical work into commercial lending and commercial insights
  • Familiarity with financial services data such as bureau, Open Banking or affordability data

BENEFITS

The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package.

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Skills

Credit Risk Models
Scorecards
Machine Learning
Python
SQL
Data Analysis
Data Manipulation
Cloud-Based Infrastructure
AWS
Model Deployment
Financial Services Data
Open Banking
Affordability Data

Location

London, England, United Kingdom

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