December 12
• Combining hands-on data science and strategic involvement for data platform direction. • Responsible for technical guidance of patient engagement software product. • Hands-on problem solving, algorithm design, and data modeling. • Manage a Data Engineer for data pipeline management & optimisation. • Build and lead an efficient data team, scaling capacity.
• MSc degree or higher in data science or equivalent, from a leading university • Confident in architecting highly efficient, scalable data pipelines. • Expertise in Python and associated data science libraries (e.g Scikit-learn, PyTorch, TensorFlow, Keras...) and modern data pipeline frameworks such as Dagster, dbt for transformation, etc. • Strong exposure designing and implementing data science models that have led to competitive advantages for companies • Proficiency in leveraging automation tools • Used to communicating with non-technical staff such as product manager, clinicians, operational staff and management • Experience in a health tech start up
• £90 - 110K salary range, depending on experience • 28 days annual leave pro-rata (plus public holidays) • £500 annual training budget • £200 home working budget • Flexible working around 9.30 - 4pm core hours • Company wide meeting free blocks • Up to 6% pension match and unlimited personal contribution • Enhanced parental & family leave up to 20 weeks full pay first carer leave • Friendly and collaborative team who value and respect each other • We collaborate with honesty and integrity • We are reflective and evolve • We are forward thinking and proactive, challenging the status quo • We are fuelled by our passion to help others • We trust each other to deliver excellence
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