Data Scientist

About Jaja    

Jaja is a consumer finance business, launching its first product, a digital credit card, in 2018. With backing from several major Private Equity funds, Jaja has an ambitious growth strategy that includes providing consumer finance in partnership with leading consumer brands, with a number of partnerships secured alongside an exciting pipeline of opportunities.  Jaja is on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time, and frustration. Or as we say it, Make Simple. We will delight our customers – making the customer experience simpler, more enjoyable, more intelligent – treating customers fairly and giving them more control of their money.   

Our Mission: To be the UK’s Digital Lender of Choice    

Our Company Values: Collaboration, Excellence, Innovation, Empathy, Passion    

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

About The Role   

Jaja Finance is looking for a Data Scientist to join our team. Your role will span across the whole lifecycle of model development. You will be equally experienced in machine learning modeling and data wrangling to create relevant feature and clean sets. You will be working with different functions of the business, developing and maintaining risk models for new and existing customers, fraud detection as well as conversion models.  

You will be responsible for (not limited to):   

• Support the end-to-end lifecycle of model development  
• Compose the necessary datasets in order to tackle the task at hand  
• Pre-process/clean the data according to the ML algorithm of your choice  
• Conduct exploratory data analysis to identify trends, patterns, and insights  
• Train, tune and evaluate the performance of the model  
• Build the necessary monitoring in order to measure performance and quickly spot data drift   
• Collaborate with stakeholders from different functions in order to understand their requirements and provide the appropriate solutions  
• Actively search for areas where ML solutions could have a big impact on the business  
• Communicate findings and insights to technical and non-technical stakeholders  

• Support the rest of the Analytics team by building complex visualisations in Tableau 

Essential skills and Experience  

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Business Administration or related field  
• Advanced knowledge of SQL (joins, aggregations, Tableau, CTEs and window functions)  
• 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  
• Ability to comprehend research papers and possibly apply their solutions  
• In-depth knowledge of regulatory requirements and industry best practices related to credit risk. 

Desired skills and Experience  

• 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)  

  What's in it for you?     

• The chance to make a real impact in a growing start-up on a mission to change the face of the consumer finance industry forever.   
• Competitive salary     
• Remote Hybrid working model    
• Bonus scheme   
• Annual Salary Review   
• 4x life insurance cover   
• Optional private health care   
• Employee assistance program   
• Annual staff get together  
• 25 day holiday allowance plus UK bank holiday  
• Pension Contributions  

Fair Processing Notification    

The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by [https://www.cifas.org.uk/fpn].