Senior Data Scientist in London

Ready to revolutionize healthcare, making it faster and more accessible than ever before? Founded in 2013 by Dwayne D'Souza, HeliosX was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual. From day one, we've grown without external funding; scaling profitably through technology, disciplined execution, and deep medical expertise.

We've earned the trust of millions of people worldwide through category-leading products and well-known brands, including MedExpress, Dermatica, ZipHealth, RocketRX, and Levity. A key driver of our success is vertical integration; we operate our own manufacturing and proprietary products, led by in-house medical teams, researchers, and pharmacists at the top of their fields.

In 2025, HeliosX treated more than 1.7 million patients globally and reached £781m in revenue, representing +337% year-on-year growth and cementing our position as the clear market leader in the UK. That growth translates into real-world outcomes: our weight-loss treatments helped patients lose 8.5 million kilograms of excess weight in 2025 alone, contributing to an estimated 1,300 fewer cardiac events. This is growth with measurable, life-changing impact at scale.

Today, we operate across four international markets, with successful launches in Germany and Canada and continued expansion in the US. We were also recently recognised in the Sunday Times Top 100 fastest-growing tech companies, further validation of both our momentum and our ambition.

2026 is a step-change year. Our ambition is to reach £1.6bn in revenue, expand from four to eight global markets and significantly broaden our condition and treatment portfolio. Over the coming years, you'll help shape HeliosX into a truly world-leading healthcare partner; one that combines scale, speed, and clinical rigour to redefine how personalised care is delivered.

The Opportunity: As a Senior Data Scientist at HeliosX, you'll shape the future of personalised digital healthcare, building and deploying advanced recommendation models that enhance every step of the patient journey. Working with over a million patient interactions, you'll turn rich real-world data into actionable insights that improve outcomes and engagement. Partnering closely with Product, you'll design and test data-driven solutions using our modern stack (Snowflake, Hex, Claude) to deliver truly individualised care at scale. Your work will directly influence how millions of patients receive proactive, personalised support as we set the standard for GLP-1-driven digital health globally. This is a full-time, permanent role with a hybrid working arrangement. You'll be expected on-site at our Shoreditch office twice per week, with flexibility to work remotely three days p/w.

What you'll be doing:

• Clinical Prediction Models: Design and implement ML models predicting patient outcomes including medication adherence, treatment response, adverse event risk, and clinical deterioration.
• Patient Stratification: Build risk stratification models identifying patients who would benefit from clinical interventions, medication therapy management, or enhanced monitoring.
• Treatment Optimization: Develop models recommending optimal treatment pathways, medication alternatives, and personalized clinical interventions.
• Healthcare ML Best Practices: Ensure models meet healthcare standards for interpretability, clinical validation, and regulatory requirements (FDA guidance on clinical decision support).
• Product-Embedded Analytics: Lead integration of ML.