data scientist
3 the last 312 days, recently 2024-03-13
Responsibility
- about Jaja
- lead your own projects, across the end-to-end lifecycle of model development
- be actively involved in the end-to-end lifecycle of model development
Show more +20 - support the end-to-end lifecycle of model development
- compose the necessary datasets in order to tackle the task at hand
- the role
- pre-process/clean the data according to the ML algorithm of your choice
- jaja Finance is looking for a Senior Data Scientist to join our team
- conduct exploratory data analysis to identify trends, patterns, and insights
- train, tune and evaluate the performance of the model
- your role will span across the whole lifecycle of model development
- build the necessary monitoring in order to measure performance and quickly spot data drift
- our Mission: To be the UK’s Digital Lender of Choice
- 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
- collaborate with stakeholders from different functions in order to understand their requirements and provide the appropriate solutions
- our Company Values: Collaboration, Excellence, Innovation, Empathy, Passion
- we are 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
- actively search for areas where ML solutions could have a big impact on the business
- 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
- support the rest of the Analytics team by building complex visualisations in Tableau
- communicate findings and insights to technical and non-technical stakeholders
- 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 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
Requirements
- master’s Degree in Data Science/Machine Learning or related discipline
- knowledge of Deep Learning frameworks, ideally Keras/Tensorflow
- familiarity with software version control
Show more +12 - 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
- 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
- eagerness to make an impact and lead on model delivery
- eagerness to take initiatives and having the sense of ownership
- ability to work in a fast-paced, dynamic environment
- previous experience developing underwriting or behavioral models for credit extension
- ability to comprehend research papers and possibly apply their solutions
- in-depth knowledge of regulatory requirements and industry best practices related to credit risk
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