Booksy

Booksy is a cloud-based appointment booking software for beauty professionals, offering automated scheduling, calendar management, payments, and marketing tools. With over 23 million clients worldwide, Booksy is the largest Beauty Booking Marketplace, ...

Diversified Consumer Services

Consumer Discretionary

251-1K (605)

Founded 2014

$119M raised

9 open positions

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Senior Data Scientist

1 month, 1 week ago

Spain, United Kingdom, Poland

Full-time

Senior

Data Scientist

Data Science and Analytics

AWS GCP Generative AI LLM Machine Learning NLP Python SQL

Apply Now

Booksy

Diversified Consumer Services

251-1K

Founded 2014

$119M raised

View All Jobs 9

Description

Build and own machine learning-powered features that improve the customer app and marketplace experience.
Work on customer-facing use cases including search and ranking, recommendations, segmentation, lifecycle modelling, lead scoring, and personalization.
Shape ambiguous product ideas into clearly defined data science problems.
Develop models, run experiments, deploy production systems, and monitor their performance.
Contribute to data pipelines and partner with engineers on real-time systems.
Ensure models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue.
Collaborate cross-functionally with Product, Engineering, Marketing, and Pricing.
Communicate technical trade-offs, findings, and business impact clearly to stakeholders.
Operate with end-to-end ownership across modelling, delivery, and production support.

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, with GCP preferred and AWS also welcome.
Understanding of how data pipelines are built and maintained.
Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments.
Conversational-level English language skills are required.
Experience applying NLP and LLMs to real product use cases is a plus.
Experience working with real-time or near real-time systems is preferred.
Exposure to pricing or marketing optimisation problems is a plus.

Benefits

Fully remote position.
Generous holiday allowance of 26 days plus public holidays.
Access to a global learning and development program.
Wellness benefits.
Discounts across partner platforms.

Interested in this position?

Apply directly on the company website

Apply Now

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