Senior Data Scientist

A career at
Booksy
means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their \"me time\" moments, we're in the business of helping people thrive.
Responsibilities
As a
Senior Data Scientist
, reporting to the
Head of Data Science
in our
Data & Analytics
team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience. You will work on customer-facing problems such as search and ranking, recommendations, segmentation, lifecycle modelling including activation, churn, and reactivation, lead scoring, and personalization. You will operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems. You will take real ownership, contributing to data pipelines, partnering closely with engineers on real-time systems, and ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue. You will collaborate cross-functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem-solver who can clearly communicate trade-offs and impact.
Qualifications
Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer-facing product environment
Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems
Strong Python and SQL skills, with the ability to work across modelling and data preparation
Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained
Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments
At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication.
Additional skills
Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role
Experience working with real-time or near real-time systems
Exposure to pricing or marketing optimisation problems
Benefits
This is a fully remote position. We take pride in being a globally distributed team.
A generous holiday allowance of 26 days plus public holidays.
Access to a global learning and development program, wellness benefits, and discounts across partner platforms.
How AI Helps Us Find Great People
Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role - but don't worry,
AI never makes the decisions. Real people do.
Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application - it won't affect your chances in any way. If you have questions, just drop us a note - we're happy to explain more.
Diversity and Inclusion Commitment
We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at , so we can best support you.
Kindly submit your application and CV in English to ensure it is successfully reviewed.
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