Senior Data Scientist

About Fresha

Fresha is the leading marketplace platform for beauty & wellness trusted by millions of consumers and businesses worldwide.

Fresha is used by 110,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.

The company is headquartered in London, United Kingdom, with 12 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 subscription-free 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.

Role overview

Given our exciting growth plans, we are looking for an exceptional Senior Finance Analyst to partner with our finance teams, especially our VPs of Accounting and Finance Strategy, to drive our financial strategy, scenario modelling, audit and accounting processes using our data platform.

Your expertise will guide us in growing our revenue, making us more profitable, keep us compliant, raise capital and identify commercial opportunities across the business.

Reporting into the Lead Commercial Analyst and working closely with Finance professionals, other Analysts, commercial teams, marketers and product managers, you will create data models, data products, metrics and find insights that fuel our growth and uncover new ways of thinking.

This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact.

Accountabilities

• Develop and maintain models for fraud detection, image validation, recommendations and other ML use cases, both batch and real time
• Discover and prioritise new use cases for data science techniques across Fresha’s product and workflows
• Prioritise your roadmap for maximum impact across different functions
• Mentor and coach an existing team of junior data scientists
• Collaborate closely with product, engineering, marketing and commercial teams to bring data science techniques to life




You’ll also work with the rest of the analytics team to find robust data sources and leverage existing capabilities, then develop new architectures only where needed.

Key skills

• Technical Skills: You should be highly proficient with programming languages such as Python/ R and SQL. You should also have extensive experience with data mining, mathematics, and statistical analysis, with the capability to derive actionable insights from complex data sets.
• ML: You should have demonstrable experience applying data science methods to real-world data problems, particularly in building, deploying, and optimising machine learning models across a variety of projects.
• Commercial: You need a strong understanding of how data science fits into the wider business context, with the ability to use data insights to influence commercial strategies and decision-making. Your insights should be directly tied to improving business KPIs with ML models.
• Communication: Exceptional communication skills are needed. You should be comfortable explaining complex data insights in simple terms and persuasively communicating your findings to influence strategic decisions.
• Motivation: The ideal candidate is ambitious, determined, and self-motivated, able to navigate the fast-paced and dynamic environment at Fresha. Your ability to stay motivated, navigate challenges, and drive forward our analytics offering will be crucial for your success
• Preferred but not required: Familiarity with dbt and other data analysis tools would be a bonus

Bonus points:

• Experience using cloud notebooks and AWS containerisation
• Experience with Streamlit 
• Experience working in fast-paced scale ups

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.