Head of Data Science
About this role
The AI-powered OS for beauty, wellness and self-care
About Fresha
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.
Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.
The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.
Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.
We process millions of transactions and generate rich behavioural data across consumers and partners. Despite this, data science is still early at Fresha. That's the opportunity.
The Mandate
Solidify data science as a core function at Fresha. Set the data science agenda - don't wait to be handed one. Identify the work that moves revenue or cost, prioritise ruthlessly, and get exec buy-in to make it happen. Champion data science across the business until the function is indispensable to how Fresha makes decisions and builds products.
About the Role
We're hiring a Head of Data Science to build data science into a core function at Fresha, not manage what already exists. The team is small but technically strong - production ML in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake stack. We're operating reactively, and there's significantly more value data science can unlock across the marketplace.
You'll have leadership buy-in and a technically strong team already in place. Your job is to set the direction, grow the team, and shift data science from a service function to something the business builds around. This role is right for you if you've done this before - taken a small data science team at a scaling company and turned it into something the business can't operate without.
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, this role will be based in our dog-friendly office 4 days per week in London: The Bower, 207-122, Old Street, London EC1V 9NR.
What You'll Do
Set the agenda & prioritise ruthlessly
Define the data science roadmap aligned to Fresha's business priorities across marketplace, payments, and partner growth
Identify data science opportunities that move revenue or cost - and deprioritise the rest
Make the case for data science investment at the exec table
Ship impact & build the technical foundation
Ship ML products that drive measurable business outcomes - not just models
Establish experimentation as a discipline: A/B testing, causal inference, automated experimentation
Build foundational data science infrastructure: feature store, model governance, monitoring, CI/CD for ML
Stay hands-on enough to evaluate architecture, hold technical trade-offs, and contribute to high-impact projects
Build the function
Champion data science internally through demos, stakeholder education, and proactive engagement with product and commercial teams
Scale the team as the roadmap demands - ML engineering, data science, MLOps
Develop the existing team, create career paths, set technical and cultural standards
What the First Year Looks Like
3 months: Data science roadmap defined cross-functionally and signed off. High-impact use cases on the table the business hadn't previously identified. First POCs or MVPs in flight. Data science visibly present in product planning - already shifting from reactive to proactive.
6 months: Multiple ML/AI use cases shipped or in live evaluation. Experimentation active in at least one product area. Data science achievements visible internally through demos and showcases; early external presence building.
12 months: Data science is a recognised, embedded function with a track record of delivery. Experimentation is a working discipline used beyond data science. MLOps maturity has stepped up. The team has grown in line with what was needed to get here.
What You Bring
Must-Haves
Track record of building a data science function from small into something the business relies on - not inheriting one
Shipped ML models to production at scale with measurable business outcomes
Exec-level stakeholder communication - comfortable making the case for data science investment to C-suite, product, and commercial leaders
Technical depth to evaluate architecture, review work, and call the right trade-offs
Hands-on comfort - reviewing code, contributing to architecture, getting into the weeds when needed
4+ years in data science or ML engineering, with 3+ years directly managing data science teams
Nice-to-Haves
Marketplace, SaaS, or fintech experience
Familiarity with our stack (SageMaker, Snowflake, dbt, Docker)
Built or contributed to experimentation platforms or MLOps infrastructure
Why This Role
Real data, real scale. Millions of transactions monthly across 120+ countries, rich behavioural signals across a two-sided marketplace. The data is there - the value is largely un-unlocked.
Strong technical foundation. Production ML stack, a team with deep context across the data and business, working models live. You're accelerating, not bootstrapping.
Visible impact. At Fresha's stage, data science improvements flow directly to business metrics. This isn't optimising the fifth decimal place - it's building capabilities that don't exist yet.
Exec-level ownership. You'll be at the table with the CTO and Deputy CPO, shaping the data science function from the ground up.
Interview Process
Screen Stage - 30 min call with the Talent Team
1st Stage - 60 min video interview: soft skills & technical
2nd Stage (Tactical) - 60 min get-to-know session with the data science team
3rd Stage (Strategic & Technical Case Study) - 2 hours onsite: case study with the data science + engineering team
Final Stage - 60 min strategic conversation with the CTO and Deputy Chief Product Officer
We aim to finalise the entire interview process and deliver feedback within 4 weeks.
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe.
Inclusive workforce
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
Company at a glance
Fresha is the world’s leading marketplace platform for the beauty, wellness, and self-care industry, trusted by millions of consumers and businesses worldwide.
For consumers, Fresha offers a seamless way to discover, book, and pay for beauty and wellness services with top local professionals. For businesses, Fresha provides an all-in-one platform that streamlines operations, from appointment management to client engagement, helping them grow effortlessly with powerful business software, integrated payments, financial services and cutting-edge technology solutions.
Fresha’s comprehensive ecosystem empowers businesses and professionals with everything they need to operate seamlessly and efficiently. From appointment bookings, point-of-sale, client management, and marketing automation to loyalty programs, inventory management, and team coordination, Fresha provides an all-in-one solution designed to drive business growth.
Fresha’s consumer marketplace helps businesses unlock their full revenue potential by maximizing online bookings and leveraging automated marketing tools. Through seamless integrations with major platforms like Instagram, Facebook, and Google, businesses can attract more clients while Fresha’s mobile apps ensure a smooth booking experience.
Today, 130,000+ businesses and 500,000+ professionals rely on Fresha, with over 1 billion appointments processed to date. Headquartered in London, United Kingdom, Fresha has a global presence with offices in New York City, Orlando, Vancouver, Madrid, Paris, Amsterdam, Warsaw, Sydney, Singapore and Dubai.
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