Head of Data Science
Required skills
4-5 years in data science, ML engineering, or related technical fields, 3+ years directly managing and growing DS teams, Track record of building a DS function - not just inheriting one. You've taken a team from small to meaningful and made DS matter to the business, Shipped ML models to production at scale with real business outcomes, Strong stakeholder management - comfortable influencing C-suite, product leaders, and commercial teams, Technical depth to evaluate architecture decisions, review work, and call the right trade-offs, Experience developing people - grown ICs into leads, created career ladders, built team culture
Preferred skills
Experience in the marketplace, SaaS, or fintech businesses, Familiarity with our stack: SageMaker, Snowflake, dbt, Docker, Built or contributed to feature store, MLOps, or experimentation platform infrastructure, Experience in establishing experimentation and A/B testing as an organisational practice, Thought leadership - blog posts, talks, open-source contributions
Technologies
SageMaker, Snowflake, dbt, Docker
Responsibilities
Strategy & Influence Define the DS roadmap and align it to Fresha's business priorities across marketplace, payments, and partner growth Shift DS from reactive (responding to product requests) to proactive (identifying opportunities, building POCs, running demos) Build DS credibility with leadership - make the function visible, understood, and sought out Partner with Product, Engineering, and Commercial teams to embed DS into decisions Delivery & Technical Leadership Ship ML products that drive measurable business impact - not just models, but outcomes Establish experimentation as a discipline: A/B testing infrastructure, causal inference, automated experimentation for optimisations Build foundational DS infrastructure: feature store, model governance, monitoring, CI/CD for ML Stay hands-on enough to evaluate technical decisions and architecture trade-offs Contribute directly to high-impact projects when needed Visibility & Advocacy Champion DS internally through demos, stakeholder education, and proactive engagement with PMs Drive external visibility: engineering blog posts, conference talks, thought leadership Help Fresha attract top DS talent by making the function known Team Building Scale the team in line with what the roadmap demands - hiring across ML engineering, data science, and MLOps Develop the existing team, create career paths, and set technical and cultural standards
Seniority
Head of Data Science
Domain
Beauty, wellness, self-care, AI, SaaS, fintech
