Data Scientist
2 days ago
🔄 Hybrid – London
Description
• On a typical day for the data science team, we sync in the morning during stand-ups to discuss the on-going work, identify blockers or areas of collaboration. • Have a critical role in training and productionising our machine learning models such as ranking models, recommendation algorithms and forecasting methods. • Be collaborating with other data scientists, product managers and other teams to brainstorm best approaches for solving the problems at hand, being them product-related or with our infrastructure. • Help design experimentations to test our ideas and prove incremental improvements to our models. • Advise on how to collect data to provide datasets for future data science projects. • Deliver ML models with agreed organisational standards to ensure that our capabilities are resilient, scalable and future-proof. • Improve our MLOps infrastructure. • Bring energy and positivity to the role, looking for every opportunity to learn and craft the role around our values: care wildly; think deeply, act swiftly; stay open, be curious; lead change for good.
Requirements
• Have demonstrable experience applying machine learning techniques to solve customer and business problems. • A minimum of 2/3 years of relevant exp. • Have strong programming skills in Python for delivering production-ready, well-structured and documented code. • Experience with large datasets and proficiency with SQL, exposure to snowflake and dbt is a plus. • Are curious about the customer and have a pragmatic approach to solve for their needs. • Take a collaborative, data-driven and experimental approach to solving complex problems at pace and with pragmatism, and are able to demonstrate the ability to foster this mindset in your colleagues. • Have a positive and optimistic attitude - you overcome setbacks and obstacles, and inspire and motivate those around you too. • Have a collaborative style that enables you to work with a range of different people and teams and allows for open and inclusive discussion. • Are keen to learn and stay up-to-date with the latest technologies and value sharing your knowledge with your peers. • Experience working on an e-commerce site or in a fast-growing (preferably consumer-facing) start-up. • Knowledge of MLOps or have an inclination to learn and develop in that area.
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