Senior Data Scientist - Consumer Lending

ZipRecruiter; London; Hybrid; GBP 63,000 - 75,000; Full time

Job summary

A leading consumer finance company is seeking a Senior Data Scientist. This hybrid role involves the full lifecycle of model development, employing machine learning to enhance customer experience and decision-making. Qualified candidates will have strong skills in SQL, Python, and experience in credit modeling, alongside attractive benefits and competitive remuneration.

Benefits

Pension Salary Exchange

Annual bonus scheme

Family-friendly policies

Employee Assistance Program

Qualifications

• Bachelor's or Master's degree in relevant fields preferred.
• Advanced knowledge of SQL and Python, familiarity with data science packages.
• Experience in developing underwriting or behavioral models.

Responsibilities

• Develop and deploy machine learning models for real-world decisions.
• Collaborate with agile teams on data wrangling and predictive analytics.
• Monitor and evaluate model performance in various contexts.

Skills

SQL

Python

Machine Learning

Data Analysis

Problem Solving

Communication

Education

Bachelor's degree in Computer Science

Master's degree in Data Science/Machine Learning

Tools

Keras

TensorFlow

Tableau

GitHub

Job description

Job Description

Senior Data Scientist – Consumer Lending

Hybrid working – London Offices

Negotiable to £75,000 DEO + Benefits

Reference - J12979

Our client is an innovative UK based consumer finance business, with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making.

They are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as they say it, Make Simple.

This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.

About The Role

As a Senior Data Scientist your role will span across the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning.

You’ll develop and deploy machine learning models that power real-world decisions — from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring.

As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You’ll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a real-world impact, driving smarter decisions and enhancing our customer experience.

They are seeking a curious, hands-on Senior Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria:

Required Skills & Experience:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field
• Advanced knowledge of SQL
• Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn)
• Familiarity with what is happening under the hood of popular Machine Learning algorithms
• Strong problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Ability to work in a fast-paced, dynamic environment
• Eagerness to make an impact and lead on model delivery
• Previous experience developing underwriting or behavioural models for credit extension

Desired:

• Master's degree in Data Science/Machine Learning or related discipline
• Knowledge of Deep Learning frameworks, ideally Keras/Tensorflow
• Familiarity with software version control (GitHub, bitbucket)
• Knowledge of Tableau
• Ability to comprehend research papers and possibly apply their solutions
• Credit card industry knowledge

What's in it for you?

• Competitive salary based on industry benchmarking
• Flexible remote hybrid working model
• Option to join Pension Salary Exchange scheme to turbo charge your pension contributions
• Participation in our annual bonus scheme
• Family-friendly policies with enhanced support
• Free access to our confidential Employee Assistance Program
• Access to various company perks, competitions and recognition scheme