Senior Data Scientist

Harnham; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Harnham in London is seeking a Senior Data Scientist to build and deploy machine learning models across the full lifecycle, focusing on credit risk and revenue forecasting for a fast-growing fintech.

You will collaborate with stakeholders to translate business problems into scalable data solutions, using Python and SQL, with experience in PD models and forecasting.

Qualifications

• Experience in fintech, lending or financial services
• Experience with credit risk modelling and/or revenue forecasting
• Strong Python and SQL skills
• Experience with boosting methods
• Ability to translate business problems into scalable data solutions

Responsibilities

• Build and deploy machine learning models across the full lifecycle
• Develop and enhance Probability of Default (PD) models and scorecards
• Create revenue forecasting models using techniques such as XGBoost and CatBoost
• Partner with business stakeholders to solve complex commercial problems
• Support the evolution of data science infrastructure and best practices

Skills

Python

SQL

Machine learning

Boosting methods

Credit risk modelling

Forecasting

Job description

Senior Data Scientist

London 3 days a week

Join a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting.

The Company

A profitable global fintech with strong growth, recent investment, and expanding international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure.

The Role

• Build and deploy machine learning models across the full lifecycle
• Develop and enhance Probability of Default (PD) models and scorecards
• Create revenue forecasting models using techniques such as XGBoost and CatBoost
• Partner with business stakeholders to solve complex commercial problems
• Support the evolution of data science infrastructure and best practices

Your Skills & Experience

• Strong commercial data science experience within fintech, lending, or financial services
• Experience with credit risk modelling and/or revenue forecasting
• Strong Python and SQL skills
• Experience with machine learning techniques, including boosting methods
• Ability to translate business problems into scalable data solutions

Desired Skills and Experience

Python, SQL, PD, Forecasting