Data Science Lead, Health AI (AI)

TL;DR

Data Science Lead, Health AI (AI): Building the data foundations to power hirify.global's health AI companion, focusing on scaling and optimizing data pipelines, datasets, and metrics frameworks. Focus on understanding user behavior, evaluating model performance, and measuring health impact to ensure the AI systems are safe, effective, and grounded in evidence.

Location: London, United Kingdom

Company

hirify.global AI is inventing an AI Companion for everyone designed with real personality and emotional intelligence.

What you will do

• Develop metrics for Copilot's healthcare category and drive product insights.
• Enable A/B testing for new features.
• Design, build, and maintain high-quality data pipelines and models.
• Partner with product and clinical teams to define datasets and metrics for user engagement, safety, and health outcome evaluation.
• Drive continuous improvement in data quality and observability.
• Contribute to data infrastructure strategy and tooling for health AI systems.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, or related field OR equivalent experience.
• Experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.
• Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.
• Experience working with Python for data processing, analytics, or pipeline orchestration.
• Experience applying data science in a scaled consumer products environment.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders.

Nice to have

• Experience working in healthcare or digital health data environments; Ideally, familiarity with typical health data taxonomies, governance, data privacy, and compliance standards (HIPAA & PHI handling, De-identification standards, etc.)
• Exposure to large language model (LLM) or generative AI systems, particularly in analytics or model evaluation contexts.

Culture & Benefits

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.