Lead UK Data Science — Senior Manager (Remote)

Learndevs; United Kingdom; Remote; GBP 84,000 - 109,000; Full time

Job summary

Hims & Hers is building a Senior Manager, Data Science to establish and lead the UK data science team, closely aligned with the US organization. You will govern the roadmap, mentor distributed data scientists, and ensure collaboration with Finance, Marketing, and Operations to translate business priorities into impactful data products.

You will drive practical forecasting, causal methods, customer modeling, and marketing measurement, while maintaining strong Python, SQL, and MLOps standards

Qualifications

• 8+ years of experience in Data Science or ML Engineering, including 2+ years directly managing data scientists or ML engineers.
• Experience joining or shaping a brand-new team, office, or region from an early stage is required.
• Proven ability to lead across time zones and partner with US teams to establish unified standards.

Responsibilities

• Establish and lead the UK data science team in partnership with US counterparts.
• Set and execute the UK roadmap, prioritizing requests from Marketing, Operations, Product, and Finance.
• Review designs and code to ensure technical quality and production readiness.
• Unblock ambiguity and drive high-impact data science initiatives into production.
• Set the technical bar for code reviews, documentation, and model monitoring.
• Own delivery of 0-to-1 builds and ensure reliable production performance.

Skills

Data Science Leadership

People Management

Roadmap Prioritization

Forecasting

Causal Inference

Experimentation

MLOps

Model Monitoring

Executive Communication

Distributed Team Leadership

Education

BS/MS/PhD in quantitative field

Tools

Python

SQL

CI/CD

ML Ops

Job description

Hims & Hers is building a Senior Manager, Data Science to establish and lead the UK data science team, closely aligned with the US organization. You will govern the roadmap, mentor distributed data scientists, and ensure collaboration with Finance, Marketing, and Operations to translate business priorities into impactful data products.

You will drive practical forecasting, causal methods, customer modeling, and marketing measurement, while maintaining strong Python, SQL, and MLOps standards