Data Scientist in London

We’re looking for a Data Scientist to take ownership of and develop our statistical modelling capabilities. You’ll work closely with our operations team to forecast our orders, optimising how to most efficiently meet customer demand in our factory. You’ll also partner with our trading team to identify causal relationships between our proposition and customer satisfaction, and generate actionable insights about our proposition to improve how well we can best meet the needs of each and every customer.

We’re Tails.com, a dog food subscription company with a big difference. We create truly tailored food for each and every dog we serve. We start by asking people a few simple questions about their dog. Then we use that information to create their dog’s unique Tails.com recipe – so their dog gets exactly the nutrition they need, in the taste they love, delivered to their door every month.

We’ve got bold plans. Having created an entirely new category in pet food, we’re now scaling fast in the UK and Europe – backed by Purina, one of the world’s largest pet food companies. You’ll join a bunch of smart people working towards the same goals.

We’re building a brand, fast. We set ambitious goals. We challenge and support each other in equal measure. At the pace we’re moving, we prefer to test ideas and learn quickly rather than spend months building a business case. That means we celebrate when things go right, and we learn when things go wrong.

The role involves taking ownership, developing and creating data products to meet operational and commercial needs of the business. You’ll be instrumental in the end to end data science lifecycle, from curating data sources through to operationalising models, working collaboratively with teams across data, engineering, operations, trading and more.

Your Responsibilities:

• Operations & Finance - Order & Revenue forecasting: You will take ownership of our existing order and revenue forecasting capabilities, ensuring we operate as efficiently as possible in meeting customer demand.
• Trading - Customer Lifetime Value: You will partner with our trading team to identify key drivers of customer lifetime value through segmentation, predictive modelling and causal analysis, generating actionable insights and recommendations.
• Trading & CRM - Churn prediction: Take ownership of existing churn prediction models, assessing performance and identifying opportunities for optimisation, enhancement, or redevelopment.
• Ongoing model monitoring: Collaborate with our analytics engineering team to develop a monitoring suite to report on the ongoing health of data science models.

The skills you’ll bring:

• 2-4+ years in a data science role, with a proven track record of successfully applying data science approaches and deploying advanced statistical models.
• Highly Desirable: A bachelor's or master's degree in a STEM related field.
• Advanced proficiency in Python and SQL with extensive experience working with core data science libraries (e.g. pandas/polars, scikit-learn).
• Familiar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster).
• Desirable: Experience leveraging Snowflake AI/ML and robust data pipelines.
• Strong communication skills – able to translate technical insight into clear business recommendations.
• Highly competent time management, with the ability to source, generate, prioritise and deliver on impactful work collaboratively.
• Skilled in data visualisation and data storytelling (e.g. ThoughtSpot, Looker, Tableau).
• Experience working with and influencing cross-functionally (Product, Proposition, Engineering, R&D, and Data teams).
• Highly Desirable: Subscriptions business experience.

What’s in it for you?

• Competitive salary, reviewed annually.
• Flexible core hours, giving you true work-life balance.
• Hybrid role to ensure this role works for you (2 days in London office).
• 25 days of holiday.