Fresha on cord

Fresha

Head of Data Science

External position
London, UK
Hiring internally for Fresha?
Wellness · Marketplace · Retail Technology
The top-rated destination for beauty and wellness
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Head of Data
Experience level: Leadership
Core skills considered: Machine Learning, Data Architecture, Data Pipelines, Data Modeling
Other skills considered: Data Mining, Data Warehousing, AWS, Snowflake

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid (up to 1 remote day p/w)
Visa sponsorship: Not available

Job Description

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

Company Benefits

  • Thriving Scale Up with Boundless Opportunities: Fresha is a well-funded and rapidly growing scale up, offering immense potential for personal and professional growth. Join us at this exciting stage and be part of a journey where your career can skyrocket.

  • Competitive Compensation: We believe in recognising the value you bring to the table. Your salary will be competitive and commensurate with your experience.

  • Accelerated Career Development: Are you a high achiever ready to soar? At Fresha, we provide a fast-track career path for exceptional performers like you. Demonstrate your skills and dedication, and watch your career reach new heights with us.

  • Collaborate with Top Engineering Talent: Join our team and collaborate with some of the finest engineering minds in Europe. Fresha brings together talent from London, Warsaw, Pristina and beyond, creating an environment where innovation flourishes and ideas come to life.

  • Global Impact, Transforming an Industry: As a member of our team, you'll work on a global platform that is revolutionising a rapidly growing industry segment. Your contributions will shape the future and make a tangible impact on businesses worldwide.

  • Vibrant and Collaborative Culture: Join a company that exudes energy and fosters collaboration. Our vibrant company culture promotes teamwork, creativity, and open communication. You'll be part of a supportive community that values your ideas and encourages personal growth.

  • Engaging Social Events: We believe in celebrating successes and fostering strong bonds within our team. Enjoy company social events that provide an opportunity to unwind, connect with colleagues, and have fun together.

  • Work with Great People: Join an energetic team of professionals who are leaders in their respective fields. At Fresha, you'll be surrounded by driven individuals who are passionate about their work and strive for excellence.

Head of Data Science at Fresha
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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