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We are hiring multiple data scientists to embed into our consumer credit and operations divisions and assist our leadership team in making data-informed decisions. We are interested in meeting Junior, Senior, and Lead Data Scientists.
We believe that Data Science consists of 4 key elements:
Data Analysis
Data Visualisation
Data Engineering
Applied Statistics & Machine Learning
You don't have to be great at all of these areas for us to want to talk to you. We want to help you grow and develop your skills in areas you are less familiar with over time.
We expect Junior Data Scientists to focus primarily on Data Analysis & Visualisation, whereas we expect Lead Data Scientists to have strong grounding across all 4 elements.
A little about us:
We are on a mission to bring better financial wellbeing to frontline workers.
We partner with some of the world’s most famous employers, like Bupa, Burger King, Greene King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they’re paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app.
We are unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world's leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn ‘premium’ lower-income earners pay for financial services each year.
You’d be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission.
The Team:
We are hiring multiple roles into two different teams.
Credit
Sitting in the Credit division, you will report directly to the Senior Director of Credit Engineering while collaborating heavily with Data Science and Software Engineering communities to deliver business & customer impact.
Operations
Sitting in the Operations division, you will report directly to the VP of Operations while collaborating heavily with our Data Science and Software Engineering communities to deliver business & customer impact.
What will you be doing?
The specific activities of the role will depend on the division and seniority.
Our Tech Stack:
What experience might you have?
Must-haves:
Nice to haves:
Salary: Dependent on seniority, minimum £60,000 with no upper bound + equity
Career structure: DS1 - Junior Data Scientist, DS2 - Data Scientist, DS3 - Senior Data Scientist, DS4 - Lead Data Scientist, DS5 - Staff Data Scientist, DS6 - Head of Data Science
Benefits:
Additional:
We celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. We are an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.
Position: Data Scientist - Location: London - Salary: from £60,000 - Working Policy: Hybrid, with three office days per week
Chat Support Offline!
Live chat is available during business hours, 9:00 to 5:00 Monday to Friday. Please get in touch with us through Contact Us and one of our recruiters will reply within 1 business day.