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
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