Jobs / hel***
Senior Data Scientist
hel*** · London
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LondonHybrid
Remuneration
Not specified
Location
London
Visa sponsorship
Sponsors visa
Job summary
<div class="content-intro"><p>Ready to revolutionize healthcare, making it faster and more accessible than ever before? </p> <p><span style="font-size: 14pt;"><strong>How we started:</strong></span></p> <p>Founded in 2013 by Dwayne D’Souza, hel***<em> </em>was built on a simple but powerful idea: healthcare should be easier to access, faster to receive, and centred around the individual.
Benefits
Of coming on board:</p>Li>Generous equity allocations with significant upside potential</li>Li>25 Days Holiday (+ all the usual Bank Holidays)</li>Li>Private health insurance, along with extra dental and eye care cover</li>Li>Employee Pension with Smart Pensions</li>Li>Enhanced parental leave</li>Li>Cycle-to-work Scheme</li>Li>Electric Car Scheme</li>Li>Free Dermatica and MedExpress products every month, as well as family discounLi>Home office allowance</li>P><span style="color: rgb(255, 255, 255);">#LI-Hybrid #LI-Senior #LI-DNI</span><Find more English Speaking Jobs in United Kingdom on Arbeitnow
Qualifications
- FDA guidance on clinical decision support)</li>
- li>Product-Embedded Analytics: Lead integration of ML models into customer-facing features improving medication management, adherence tracking, and personalized health recommendations</li>
- li>Patient Journey Optimization: Build models that personalize patient experiences across online consultation, prescription fulfillment, and ongoing medication management</li>
- li>Real-Time Clinical Insights: Develop streaming ML capabilities providing real-time patient risk alerts and intervention recommendations</li>
- li>Cross-Functional Product Leadership: Partner with product managers, clinical teams, and engineers to translate model insights into actionable product features</li>
- li>Production ML Infrastructure: Establish robust MLOps practices using MLFlow, SageMaker, or similar platforms for model versioning, deployment, and monitoring</li>
- li>Model Performance Monitoring: Implement comprehensive monitoring for model drift, performance degradation, and clinical safety metrics</li>
- li>A/B Testing & Validation: Design and execute experiments measuring clinical and business impact of ML-driven interventions</li>
- li>Regulatory Compliance: Ensure ML models meet healthcare regulatory
- including model documentation, validation, and audit trails</li>
- li>Data Science Strategy: Define technical roadmap for healthcare ML capabilities supporting product innovation and clinical outcomes</li>
- li>Team Development: Mentor data scientists and analysts in healthcare analytics, ML best practices, and clinical domain knowledge</li>
Responsibilities
- p><strong>What you'll be doing:</strong></p>
Skills
CommunicationEnglishLeadership
Degrees
AssociateMasterPhD
Languages
EnglishGerman
Industry
BankingEnergyHealthcareInsuranceLogisticsManufacturingMediaPharma
Company size
Smb