Senior Data Scientist in London

Hybrid in London·Added 13 days ago (last checked 9 Nov)

Agency

Harnham

168 open roles

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Our summary

Salary: £60,000 - £80,000 a year
About £3,780 - £4,750 a month after tax.
Work mode: Hybrid, London
Contract: Permanent
Experience: Senior level

Skills

Harnham is hiring for this role in several places. This vacancy is in London.

Requirements

What we're looking for

YOUR SKILLS AND EXPERIENCE

Strong commercial experience in Data Science within credit risk, lending, or financial services.
Experience building predictive credit models from scratch.
Hands-on machine learning experience in a commercial environment.
Strong Python and SQL skills.
Experience developing credit scorecards, risk models, or forecasting models.
Ability to communicate technical concepts effectively to stakeholders.
Experience working with consumer lending or SME lending portfolios would be beneficial.

Pay & benefits

What you'll get

London | £60,000 - £80,000

WHAT THEY OFFER

£60,000 - £80,000 base salary.
Flexible hybrid working model.
Competitive benefits package.
Exposure to complex machine learning and credit risk challenges.
Opportunity to work alongside experienced data science and risk professionals.
Clear progression opportunities within a growing analytics function.

The role

This Senior Data Scientist role offers the chance to work on end-to-end credit risk modelling within a highly data-driven environment where analytics is central to commercial success.

What you'll do

THE ROLE

Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.
Apply machine learning techniques to improve underwriting and risk assessment processes.
Analyse large and complex datasets to identify trends, opportunities, and risks.
Develop predictive models to support business performance and customer outcomes.
Collaborate with Product, Engineering, Credit Strategy, and Risk teams to deliver data-driven solutions.
Create visualisations and communicate analytical findings to technical and non-technical stakeholders.
Support model deployment, monitoring, and best practice model lifecycle management.
Contribute to the ongoing development of the organisation's data science capability.

Hiring process

HOW TO APPLY
Please apply by sending your CV to Rachael through the link below.

About Harnham

Industry: Staffing and Recruiting

In their own words

About the company & team

THE COMPANY
This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation and continue to invest heavily in their data capabilities. Their Data Science team works closely with Risk, Engineering, and Product functions to drive business growth through data-led decision making.

All open roles at Harnham