Junior Data Scientist London, England
Job description
About Jaja
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.
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.
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.
Why join us?
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.
We have a collaborative team structure fuelled by an exciting mix of people welcoming both experienced people from the industry with both feet on the ground and tech-savvy dreamers who pave way for the new stuff. Come as you are and be yourself!
About the Role
Jaja Finance is looking for a Junior Data Scientist to join our team. 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 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. The Analytics team, which you will be a part of, comprises of 20+ analysts and Data Scientists with experienced leads, able to help you grow your career in Data Science.
Responsibilities:
- Be actively involved in 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
Requirements:
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Business Administration or related field
- Advanced knowledge of SQL (joins, aggregations, 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
- Eagerness to take initiatives and having the sense of ownership
Nice to have:
- 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
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
- Discretionary Bonus scheme
- Annual Salary Review
- 4x Life assurance cover
- Optional private health care
- Employee assistance programme
- Annual All Staff Get Together Event
- 25 day holiday allowance plus UK bank holiday
- Personal and business travel insurance
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].
