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- Tasks: Join our Growth team as a Senior Data Scientist to drive customer acquisition and retention.
- Company: PetLab Co. is the fastest-growing pet supplement business, impacting over 1.5 million dogs since 2018.
- Benefits: Enjoy flexible working hours, private health care, generous leave, and even puppy therapy!
- Why this job: Make a real impact on business strategy while working in a vibrant, fast-paced environment.
- Qualifications: 5+ years in data science with expertise in LTV modeling, Python, and SQL required.
- Other info: Work remotely with just one day a month in our London office; dogs are welcome!
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Senior Data Scientist - Growth & Retention role at PetLab Co.
Location: Remote (1 Day per month in London office)
Department: Data
Reports to: Director of Data
Type: Full-time
About Petlab Co.
PetLab Co. is the world's fastest-growing pet supplement business. Launching in 2018, we successfully achieved a 9-figure revenue in 2024 without any external funding. We have a loyal community of loving pet parents and over 1.5 million happy dogs whose lives have been positively impacted by our innovative products. Our team is vibrant, fast-moving, and customer-driven where high-performers are valued and rewarded. And it is the ideal place for an ambitious, hardworking, animal lover who wants to progress their career rapidly.
About The Role
We're looking for a Senior Data Scientist to join our Growth team and play a key role in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your work will directly influence business strategy, growth initiatives, and long-term customer value. Our data warehouse is hosted in Big Query and we use Power BI as our visualisation tool. We move and think fast so it's important that you are able to thrive in a fast-paced environment and are happy to roll up your sleeves to do whatever it takes to support the team in every way possible. If that sounds exciting - we would love you to join our pack!
What You'll Do
- Develop and maintain robust LTV (Lifetime Value) forecasting models, subscription and churn models to inform marketing spend and retention strategies.
- Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends.
- Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs.
- Collaborate with cross-functional teams to translate business goals into data-driven solutions.
- Communicate insights clearly and effectively to technical and non-technical stakeholders.
- Delve into large-scale datasets using SQL and perform advanced statistical techniques in Python.
- Continuously evaluate and improve existing models and testing frameworks to increase predictive accuracy and business impact.
Requirements
What We're Looking For
- 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles.
- Deep understanding of LTV modeling, forecasting, and experimental design.
- Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels).
- Advanced SQL skills and experience working with large datasets in modern data environments.
- Experience working with cross-functional growth or marketing teams.
- Competent user of data visualisation tools.
- Comfortable working in fast-paced, agile environments with changing priorities.
- Excellent communication skills with the ability to explain complex topics to non-technical audiences.
- Experience in e-commerce, subscription services, or other B2C/consumer-facing businesses.
Nice to Have
- Exposure to tools like DBT or GCP Cloud Platform.
- Understanding of causal inference techniques and uplift modeling.
Benefits
- Private Health Care through Vitality.
- Generous Annual Leave - 28 days + public and bank holidays.
- Flexible Working Hours.
- Help@Hand Employee Assistance Programme.
- Royal London Pension Scheme with an employer contribution of 5% through salary sacrifice.
- Enhanced Maternity/Paternity/Adoption Leave.
- Puppy Therapy working in partnership with Paws in Work.
- Generous Learning and development budget.
- Free breakfast, fruits and snacks.
- Working Environment - dogs are welcome!
- Life Assurance providing a tax-free lump sum equivalent of four times your basic salary.
- Gympass subscription.
- Electric Vehicle Scheme.
- Give Back Day - an extra day off to volunteer plus a £50 contribution to your chosen charity.
- Health Cash Benefit.
Contact Detail:
PetLab Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Growth & Retention
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Big Query and Power BI. Having hands-on experience or even a project showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with LTV modelling and forecasting in conversations or interviews. Be prepared to discuss specific examples of how your models have influenced marketing strategies or customer retention in previous roles.
✨Tip Number 3
Showcase your ability to work in fast-paced environments by sharing examples from your past experiences. Discuss how you adapted to changing priorities and contributed to team success under tight deadlines.
✨Tip Number 4
Prepare to communicate complex data insights clearly to both technical and non-technical stakeholders. Practising how to explain your findings in simple terms can demonstrate your communication skills, which are crucial for this role.
We think you need these skills to ace Senior Data Scientist - Growth & Retention
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in growth and retention roles. Emphasise your proficiency in Python, SQL, and any experience with LTV modelling or A/B testing.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it aligns with PetLab Co.'s mission. Mention specific projects or achievements that demonstrate your ability to drive customer acquisition and retention.
Showcase Your Technical Skills: Include examples of your work with large datasets and any tools you've used, such as Big Query or Power BI. Highlight your experience with statistical techniques and how they have contributed to business outcomes.
Prepare for the Interview: While this is about the written application, it's good to think ahead. Be ready to discuss your previous projects in detail, especially those that involved collaboration with cross-functional teams and how you communicated insights to non-technical stakeholders.
How to prepare for a job interview at PetLab Co.
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis and modelling, particularly in Python and SQL. Highlight specific projects where you've built predictive models or conducted A/B tests, as this will demonstrate your technical expertise relevant to the role.
✨Understand the Business Context
Research PetLab Co. and its growth strategies. Be ready to explain how your data-driven insights can directly impact customer acquisition and retention. This shows that you’re not just a data scientist but someone who understands the business landscape.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to communicate your findings effectively is crucial. Prepare examples of how you've done this in past roles.
✨Demonstrate Adaptability
PetLab Co. thrives in a fast-paced environment, so share experiences where you've successfully adapted to changing priorities or tackled unexpected challenges. This will show that you can thrive under pressure and contribute positively to the team dynamic.
