Senior Data Scientist

The Petlab Co.
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist and Machine Learning Researcher

Senior Data Scientist

Senior Data Scientist

Join to apply for theSenior Data Scientistrole atPetLab 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.

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.

The Good Stuff

  • 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 which enables you to claim a certain amount of cashback when you pay for something that is health related.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.