Senior Data Scientist - Growth & Retention

PetLab Co.; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading pet supplement company is seeking a Senior Data Scientist to enhance customer acquisition and retention. In this role, you will collaborate with various teams to build predictive models and drive strategic decisions. The ideal candidate thrives in fast-paced environments and possesses strong analytical skills.

Benefits

Private Health Care

Generous Annual Leave

Flexible Working Hours

Employee Assistance Programme

Pension Scheme

Enhanced Leave

Puppy Therapy

Learning and Development Budget

Free Snacks

Life Assurance

Qualifications

• 5+ years of experience in data science, ideally in growth or marketing roles.
• Deep understanding of LTV modeling and experimental design.

Responsibilities

• Develop and maintain LTV forecasting models and churn models.
• Design and analyze A/B tests across acquisition funnels.

Skills

Python

SQL

Communication

Education

Bachelor's Degree

Tools

Big Query

Power BI

Job description

Senior Data Scientist - Growth & Retention

Senior Data Scientist - Growth & Retention

1 month ago Be among the first 25 applicants

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 Coud 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 - We focus on results and trust people to manage their time, whether working from home, while travelling, or in the office!
• Help@Hand - Employee Assistance Programme
• Royal London Pension Scheme - We offer a workplace pension scheme with one of the UK's leading providers of group pensions. With an employer contribution of 5% through salary sacrifice!
• Enhanced Maternity / Paternity / Adoption Leave - because time with new family members is important!
• Puppy Therapy - working in partnership with Paws in Work to provide a boost of oxytocin twice a year
• Generous Learning and development budget - We always want you to keep learning
• Free breakfast, fruits and snacks - refuel and revitalise with free munchies in the office
• Working Environment - dogs are welcome!
• Life Assurance - In the event of your death, while employed by us, your chosen beneficiaries will be provided with a tax-free lump sum equivalent of four times your basic salary
• Gympass - All in one subscription bringing you the largest selection of gyms, studios and apps
• Electric Vehicle Scheme - Employees sacrifice salary in return for a new electric car, typically saving 30-40% of costs through income and tax and national insurance
• Give Back Day - An extra day off in the year to volunteer plus a £50 contribution to your chosen charity
• Health Cash Benefit - We offer the bronze package with enables you to claim a certain amount of cashback when you pay for something that is health related, i.e dental

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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