Lead Data Scientist

JR United Kingdom; Slough; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global financial platform is seeking a talented individual to lead the development of credit risk and affordability models. You will be responsible for the entire model lifecycle, mentor a team, and collaborate with stakeholders to improve financial decisions. Ideal candidates should hold an MSc or PhD in relevant fields, with strong coding skills in Python and SQL. This role is based in Slough, UK and does not offer visa sponsorship.

Qualifications

• MSc or PhD Degree in relevant fields.
• Strong coding skills in Python and SQL.
• Strong communication skills in a collaborative environment.

Responsibilities

• Lead development of credit risk and affordability models.
• Own end-to-end model lifecycle: data sourcing to monitoring.
• Mentor and develop a small team of analysts/data scientists.

Skills

Strong coding skills in Python

Strong coding skills in SQL

Strong communication skills

Education

MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields

Job description

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Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets.

Responsibilities:

• Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data.
• Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring.
• Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience
• Analyse credit performance data to generate actionable insight and support strategic decisions
• Mentor and develop a small team of analysts/data scientists as the team scales
• Work closely with Data Engineering to deploy models into production pipelines.
• Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page