Lead Data Scientist, Octopus Money

• 5+ years of hands-on experience in a data science role, with a track record of delivering end-to-end projects that have a measurable business impact
• Exceptional communication and presentation skills, with a proven ability to explain complex data science concepts and results to stakeholders with varying levels of data literacy
• Strong experience building, training, and validating machine learning models (e.g., using scikit-learn)
• Expert-level proficiency in Python (including structured, object-oriented code) and SQL
• A strong foundation in applied statistics, including hypothesis testing and experimental design (A/B testing)
• A deep interest in coaching and mentoring teams

Desirable

• We’re looking for a Data Science Tech Lead to help us build the scalable data models, technology and insights needed to transform millions of lives, by making high quality money advice affordable and accessible
• This is an ideal opportunity for an ambitious self-starter to accelerate your development in a broad and varied role within a rapidly growing company
• The Data Science Tech Lead will play a pivotal role in designing and building the models, tools and processes that move us beyond reporting into prediction and optimization, ensuring we deliver a world-class customer experience
• As our first dedicated data science hire, the role has significant potential for progression and impact
• You will also play a key role in mentoring and developing our in-house analytics talent, helping them grow into data science careers
• The ideal candidate will be able to chart their own path – whether that’s building out best-in-class machine learning capabilities, driving transformational insights, or evolving into a senior leadership role within data science
• Partnering with teams across the business to scope, prioritize, and manage high-impact data science projects
• Preparing and modeling data in our modern stack (Snowflake & DBT), as well as wrangling data from third-party APIs when needed
• Conducting deep-dive analyses and running A/B tests to uncover insights, test hypotheses, and guide company strategy
• Designing, training, and evaluating predictive models in Python, with flexibility to deploy within Snowflake, AWS, or both
• Deploying models into production in simple, scalable ways, with monitoring to ensure long-term accuracy and business impact
• Managing and mentoring 2 data scientists with varying degrees of knowledge and experience