Senior Data Scientist - Agentic AI
About the role
Senior Data Scientist - Agentic AI
Company: Booksy
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.
Working in a fast-moving scale-up where priorities shift and not everything is perfectly defined is not for everyone. If you prefer rigid scope, narrow ownership, and purely research-focused roles, this likely is not your place. But if you enjoy defining problems properly, owning delivery end to end, and building data products that real customers use every day, you will feel right at home.
About the Role
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. That may mean 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.
Requirements
- 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.