Customer Data Scientist

About the Role

Customer Data Scientist

Responsibilities

• Analyse, transform, augment and build datasets to convert customer, financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights.
• Use your coding skills to contribute to team tooling and automate processes, so that models and datasets can be consumed reliably in a self-service way by downstream teams.
• Design and develop customer-level models, including credit scores, affordability, segmentation, churn and retention, and other behavioural models, that inform decisions across other teams
• Analyse end user requirements to understand what our stakeholders, particularly the Portfolio and Portfolio Strategy teams, need, and translate those needs into deliverables you can support.
• Derive and communicate insights to stakeholders across the business.
• A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, Software engineering, etc.).
• Minimum 3-5 years of experience in a similar data science or analytics role, ideally in fintech or another data-rich environment.
• Experience in at least two prior roles, ideally across two or more industries
• we value the perspective that a range of backgrounds brings to the team.
• Strong data wrangling skills using SQL and Python.
• Strong modelling skills using sklearn, h2o, pytorch, etc
• A collaborative mindset
• you enjoy working closely with peers, sharing what you learn and learning from others.
• An ability to interpret problems, and simplify them to their essentials.
• The desire to innovate, be creative and work on challenging problems.
• Comfort with basic software development practices such as git and version control, sufficient to produce reliable, self-serviceable outputs.
• Experience working in fintech, specifically with lending products.
• Experience working with cloud computing.
• Personal projects you have worked on that you can showcase.
• Experience building customer-level models such as credit scores, affordability, segmentation or churn/retention.
• Experience in communicating complex concepts simply and clearly.
• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies