Data Scientist in England

Data Scientist in England

England Full-Time 47250 - 57750 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform complex data into insights that drive change in pet care.
  • Company: Join Pets at Home, a leader in pet care innovation.
  • Benefits: Enjoy hybrid working, competitive salary, and a supportive team culture.
  • Other info: Diverse and inclusive workplace where your unique contributions are valued.
  • Why this job: Make a real impact on the future of pet care with your data skills.
  • Qualifications: Experience in Data Science, strong SQL, R/Python skills, and statistical knowledge.

The predicted salary is between 47250 - 57750 £ per year.

Unlock Insight, Drive Innovation and Shape the Future of Pet Care! Join us at Pets at Home, on our mission to create a better world for pets and the people who love them. We’re looking for a curious, commercially minded Data Scientist to help shape the future of pet care through advanced analytics, predictive modelling, optimisation and marketing personalisation.

About the Role

As part of our Data Science & Insights team, you’ll work across the entire Pets at Home Group – using data to spark debate, influence decisions and drive meaningful change for millions of customers. The role offers hybrid working from our Support Office in Handforth, Cheshire.

Key responsibilities

  • Turning complex data from a wide range of sources into thought‑provoking insights that guide strategic conversations at all levels
  • Building evidence‑based stories and presenting them in compelling, action‑driving ways
  • Acting as a domain expert within Advanced Analytics, spotting commercially valuable opportunities for our brands and customers
  • Developing and deploying data science products that enhance understanding, improve operations and support smarter decision‑making
  • Leading by example: sharing expertise, championing best practices and helping upskill colleagues across Data Science and the wider business

What you’ll bring

Essential

  • Proven experience applying Data Science techniques to deliver real commercial impact, ideally in a consumer‑focused environment
  • Strong SQL skills and experience working with large‑scale data warehouses
  • Hands‑on experience with R and/or Python
  • Solid understanding of core methods: classification, regression, forecasting, clustering, nearest neighbour, neural networks, embeddings, dimensionality reduction and anomaly detection
  • Strong statistical knowledge and the ability to translate complex findings for non‑technical audiences
  • Experience delivering end‑to‑end data science projects, from scoping and data gathering through to deployment and measurable success

Desirable

  • Exposure to GIS and geospatial analytics
  • Experience with marketing attribution modelling
  • Experience working on large‑scale recommendation or personalisation engines

Pets just see people. They aren’t biased and they don’t discriminate. We take our inspiration from pets, and we value and respect difference in all its forms. Our aim is to reflect the diversity of the communities we operate in, and every colleague can help us achieve this. We encourage our people to be themselves so even if your skills and experience don’t perfectly align, if you think you can make a unique contribution through your values and behaviours, we want to hear from you!

Data Scientist in England employer: Pets at Home

At Pets at Home, we are not just building a pet insurance business; we are creating a vibrant and innovative environment where your contributions truly matter. As a Senior Pricing Analyst, you will enjoy the unique opportunity to work with unparalleled data assets while being part of a passionate team dedicated to improving outcomes for pets and their owners. With a supportive culture that values diversity and encourages personal growth, this role offers a chance to make a significant impact in a dynamic start-up atmosphere backed by the stability of a leading brand.

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Contact Details:

Pets at Home Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in England

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pets at Home!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Pets at Home.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Pets at Home.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Pets at Home, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist in England

Data Science Techniques
SQL
Large-Scale Data Warehousing
R
Python
Classification
Regression

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Pets at Home, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pets at Home. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Pets at Home

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pets at Home!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.