Data Scientist - Lending & Conversion Optimization

Methodfi; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A financial technology company in London is seeking a Data Scientist specializing in supervised machine learning to enhance their lending product strategy. In this hybrid role, you will analyze data to improve user conversion, design experiments to evaluate strategies, and present findings to impact company decisions. The ideal candidate possesses a strong background in probability and statistics, proficiency in data manipulation tools, and the ability to communicate complex data insights effectively.

Benefits

Flexible working hours

Medical insurance including discounted gym membership

Private GP service

25 days’ holiday plus birthday off

Paid sabbatical after four years

Counselling and therapy sessions

Pension contributions

Employee equity incentive scheme

Generous parental leave

Electric car and cycle to work schemes

Company retreats annually

Qualifications

• Expertise in probability and statistics, gained through work in a quantitative field.
• Ability to translate data into actionable insights.
• Proficiency with data manipulation and modelling tools.
• Experience with scientific computing tools.
• Ability to work autonomously.

Responsibilities

• Analyze data to figure out optimal pricing and terms.
• Design experiments for performance comparison.
• Share findings to influence company strategy.
• Own monitoring and data pipelines for user journeys.
• Promote analytical rigour in experimental designs.

Skills

Probability and statistics expertise

Data manipulation and modelling

Autonomous work management

Clear communication skills

Education

Degree in Mathematics, Statistics, Physics, Engineering, or similar

Tools

pandas

statsmodels

R

NumPy

SciPy

Job description

A financial technology company in London is seeking a Data Scientist specializing in supervised machine learning to enhance their lending product strategy. In this hybrid role, you will analyze data to improve user conversion, design experiments to evaluate strategies, and present findings to impact company decisions. The ideal candidate possesses a strong background in probability and statistics, proficiency in data manipulation tools, and the ability to communicate complex data insights effectively.