At a Glance
- Tasks: Build and own machine learning features to enhance customer app experiences.
- Company: Join Booksy, a global team dedicated to helping people thrive.
- Benefits: Fully remote work, 26 days holiday, wellness benefits, and learning opportunities.
- Other info: Diverse and inclusive environment with excellent career growth potential.
- Why this job: Make a real impact by solving customer-facing problems with data-driven solutions.
- 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 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.
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 employer: Booksy
Contact Detail:
Booksy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Booksy. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the company’s products. Show us how your experience aligns with the role of Senior Data Scientist and be ready to discuss real-world applications of your work.
✨Tip Number 3
Don’t just apply and wait! Follow up on your application through our website. A quick message expressing your enthusiasm can make a big difference and shows us you’re genuinely interested.
✨Tip Number 4
Be yourself during the interview process. We want to see your personality shine through! Share your passion for data science and how you’ve tackled challenges in the past. Authenticity goes a long way!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your machine learning projects and any customer-facing product experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission. Share specific examples of how you've tackled ambiguous problems in the past.
Showcase Your Technical Skills: Don’t forget to mention your Python, SQL, and cloud platform experience! We want to see how you've used these skills in real-world applications, especially in marketplace environments.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it gets to the right people quickly!
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 analysis. Brush up on your experience with behavioural and customer data, especially in segmentation and lifecycle modelling. Be ready to discuss specific projects where you've delivered machine learning solutions end to end.
✨Showcase Your Problem-Solving Skills
This role requires defining ambiguous problems clearly. Prepare examples of how you've tackled complex issues in the past, particularly in a marketplace or customer-facing environment. Highlight your ability to engage stakeholders and communicate the impact of your work effectively.
✨Familiarise Yourself with Cloud Platforms
Since experience with GCP or AWS is essential, make sure you can talk about your familiarity with cloud platforms and data pipelines. Discuss any relevant projects where you’ve built or maintained data systems, as this will show your technical prowess and readiness for the role.
✨Prepare for Cross-Functional Collaboration
You’ll be working closely with Product, Engineering, Marketing, and Pricing teams. Think of examples that showcase your collaborative skills and how you’ve communicated trade-offs and impacts in previous roles. This will demonstrate your ability to work effectively in a fast-paced, dynamic environment.