Senior Data Scientist - Agentic AI
Senior Data Scientist - Agentic AI

Senior Data Scientist - Agentic AI

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office possible
Booksy

At a Glance

  • Tasks: Build and own machine learning features that enhance customer experiences.
  • Company: Join a global team at Booksy, empowering people every day.
  • Benefits: Fully remote work, 26 days holiday, and wellness benefits.
  • Other info: Diverse and inclusive environment with excellent learning opportunities.
  • Why this job: Make a real impact by solving customer-facing problems with data.
  • Qualifications: Experience in machine learning, Python, SQL, and cloud platforms required.

The predicted salary is between 60000 - 80000 ÂŁ per year.

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.

The people you’ll like to work with and the impact you’ll enjoy driving:

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 personalisation. 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.

Essentially, to ensure you succeed in this role you’re going to need:

  • 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.

It will also help you to have:

  • 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.

Our 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 belonging@booksy.com, so we can best support you.

Kindly submit your application and CV in English to ensure it is successfully reviewed.

Senior Data Scientist - Agentic AI employer: Booksy

At Booksy, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a fully remote scale-up, we offer generous benefits including 26 days of holiday, access to global learning programmes, and wellness initiatives, all while working on impactful projects that enhance customer experiences. Join us to take ownership of your work in a collaborative environment where your contributions directly shape the future of our marketplace.
Booksy

Contact Detail:

Booksy Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Agentic AI

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills can directly impact their goals. Practise common interview questions and think about how you can showcase your experience with machine learning solutions.

✨Tip Number 3

Show off your projects! If you've built any data products or worked on relevant machine learning projects, make sure to highlight them during your conversations. Having tangible examples can really set you apart from other candidates.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at Booksy.

We think you need these skills to ace Senior Data Scientist - Agentic AI

Machine Learning
Python
SQL
Data Preparation
Cloud Platforms (GCP, AWS)
Data Pipelines
Segmentation
Lifecycle Modelling
Search and Recommendation Systems
Problem Definition
Stakeholder Engagement
Communication Skills
NLP (Natural Language Processing)
Real-time Systems
Generative AI

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning solutions and customer data, as these are key for us. Use specific examples that showcase your skills in Python, SQL, and cloud platforms.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our mission at Booksy. Be sure to mention any relevant projects or experiences that align with the job description.

Showcase Problem-Solving Skills: In your application, emphasise your ability to define problems clearly and engage stakeholders. We love candidates who can communicate their thought process and impact effectively, so don’t hold back on sharing your approach to tackling challenges.

Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets the attention it deserves and helps us streamline the process. Plus, it’s super easy to do!

How to prepare for a job interview at Booksy

✨Know Your Data Inside Out

As a Senior Data Scientist, you'll need to demonstrate your expertise in machine learning and data handling. Brush up on your Python and SQL skills, and be ready to discuss specific projects where you've delivered end-to-end solutions. Prepare examples that showcase your experience with customer data, segmentation, and lifecycle modelling.

✨Understand the Business Impact

It's crucial to connect your technical skills to real-world outcomes. Be prepared to explain how your work has improved KPIs like conversion and retention in previous roles. Think about how you can articulate the trade-offs and impacts of your decisions to stakeholders, as this will show your ability to engage with cross-functional teams.

✨Embrace Ambiguity

Booksy thrives in a fast-paced environment where priorities can shift. Show that you're comfortable defining problems from ambiguous ideas and can adapt quickly. Share experiences where you've successfully navigated uncertainty and delivered results, highlighting your problem-solving skills.

✨Communicate Clearly and Confidently

Since English is the company language, practice articulating your thoughts clearly. Prepare to discuss complex concepts in a straightforward manner, ensuring that even non-technical stakeholders can understand your insights. This will demonstrate your ability to collaborate effectively across teams.

Senior Data Scientist - Agentic AI
Booksy

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