Senior Data Scientist (Healthcare)

Location: London, England, UK; hybrid work arrangement

Salary: £75,000–£95,000 per year, plus potential equity

Company

Hims & Hers is a public health and wellness platform providing personalized access to healthcare, from diagnosis and treatment through delivery.

What you will do

• Build scalable data products and machine learning models for operational optimization, marketing, and customer experience.
• Own the full model lifecycle, including data extraction, feature engineering, deployment, A/B testing, and performance monitoring.
• Write complex SQL, develop features, and deploy baseline models in 0-to-1 environments before iterating toward more advanced solutions.
• Partner with Engineering, Product, Finance, and other stakeholders to define requirements and turn model outputs into business insights.
• Maintain production-ready code, participate in code reviews, and contribute to data engineering standards.
• Mentor junior data scientists and analysts while helping deliver projects through technical ambiguity.

Requirements

• 5+ years of applied experience in Data Science or ML Engineering, with production model delivery experience.
• Strong Python and SQL skills, including pandas, NumPy, scikit-learn, and standard machine learning frameworks.
• Experience with AWS or GCP, Git, CI/CD workflows, and MLOps principles.
• Ability to connect technical metrics with business outcomes and explain models, limitations, and findings to non-technical stakeholders.
• BS, MS, or equivalent experience in Data Science, Statistics, Economics, Computer Science, Applied Mathematics, or a related quantitative field.

Nice to have

• Experience building first-generation machine learning models and automated production pipelines.
• Experience with customer behavior and propensity modeling, including churn, lead scoring, or lifetime value.
• Experience with time-series forecasting, anomaly detection, optimization, or non-stationary data.
• Experience with causal inference, quasi-experiments, difference-in-differences, or advanced experimentation.

Culture & Benefits

• Equity may be included as part of the total rewards package.
• Environment focused on ethics, wellness, inclusion, and belonging.
• Talent-first flexible and remote work approach within the role's hybrid structure.