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.

Changing the world of pet food for good

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. It’s clever stuff.

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 – and a bunch of smart-ish dogs, all working on their own thing.

Together, we’ll change the world of pet food for good.

The data team at Tails.com sits within the Tech Function at Tails.com, and partners across the whole business. Our team covers the entire spectrum of data-related tasks, from collecting and processing data to synthesising impactful, actionable insights and conducting statistically rigorous experiments. We play a vital role in helping individuals at Tails.com make informed decisions, driving the continued success and growth of our business.

Build our brand

We’re building an 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.

Sound like a team you want to join? Here’s how you’ll make a difference:

The role

We’re looking for a Data Scientist to take ownership, develop and create 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, with the aim of ensuring we are operating as efficiently as possible in meeting the demand on our factory from our customers

• 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 you will generate actionable insights and make recommendations on how we can better align with customer expectations

• Trading & CRM - churn prediction

  • Take ownership of existing churn prediction models, assessing performance and identifying opportunities for optimisation, enhancement, or redevelopment.

  • Provide expert guidance on segmenting churn prediction across customer types and cohorts, and partner with stakeholders and analysts on how to effectively use insights to proactively improve customer retention.

• Ongoing model monitoring

  • You will collaborate with our analytics engineering team to develop a monitoring suite to report on the ongoing health of data science models, ensuring any aberrations are quickly identified and corrected

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 using complex, messy, real-world data, into a production environment

• Highly Desirable: A bachelors or masters 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) in relation to operationalising data science products

• Desirable: Experience leveraging Snowflake AI/ML and robust data pipelines to deliver scalable, production-ready data science solutions

• Strong communication skills – able to translate technical insight into clear business recommendations to audiences of varied technical backgrounds

• Highly competent time management, with the ability to source, generate, prioritise and deliver on the most impactful work collaboratively with key partners

• 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 (excluding bank holidays) which increases over time to a max of 27 days

• 9/10 day working fortnight to enhance your wellbeing without a reduction in pay and leave allowance - this totals over 20 additional days off in 2025!

• Optional 5 days unpaid leave and 1 paid volunteer day each year

• When you need a change of scenery, you can work from abroad 2 weeks every 6 months

• Health insurance for you, paid by Tails.com

• Extended maternity, paternity, shared parental and adoption pay. 6 months at 70% pay

• Flexible paid care leave to support immediate dependants, people close to you and pets

• In house L&D team, with access to year round courses to help drive your development

• 50% discount on all Tails.com

• Discounted gym membership

What’s next?

If this sounds like it matches your experience and what you’d love to do, we can’t wait to hear from you! If you’re unsure whether you fit our criteria exactly, please get in touch anyway. And because we believe that diverse teams perform better, we’d especially love to hear from you if you’re from an under-represented demographic.

Here’s a taster of how our recruitment process works:

1. Once you have applied your CV will be reviewed by the Talent Acquisition Team.

2. If selected, you will then have an Initial screening call with the Talent Acquisition Team.

3. If selected, you will then have an interview with the Hiring Manager to understand more about your skills and experience (60 mins).

4. Should you be successful, the next stage will be a take-home assignment followed by a video call with the hiring manager and Head of to present your findings and field questions about your approach and the overall project (75 minutes)

5. If successful, you will be invited to a final interview (60 mins).

Our Commitment

We’re proud to be an active equal opportunity employer. We want to give everyone a fair chance to join us in changing the world of pet food for good. We do this by conducting a structured recruitment process for all candidates, as well as actively promoting our roles to communities that are under-represented at Tails.com.

During your interview process you’ll meet some of our team with varying levels of responsibility and experience. We want to give every candidate a fair interview process and if you need any reasonable adjustments made, please let us know.

Department

Data

Locations

Richmond

Remote status

Hybrid