Data Scientist (Machine Learning)

Location: Hybrid role based in Richmond, UK

Company

hirify.global is a B Corp providing personalised dog nutrition through subscription meal plans, backed by Purina.

What you will do

• Own and improve lifetime value, predicted lifetime value, acquisition signal, survival, propensity, and churn modelling.
• Predict customer value using acquisition, behavioural, dog, plan, and early-engagement data.
• Connect model outputs with Meta, Google, CRM, and paid-media activity to improve acquisition, conversion, retention, and payback.
• Design controlled tests, holdouts, and measurement standards for conversion, retention, uplift, incrementality, and retained value.
• Deploy models with data engineering support and monitor model health, drift, and retraining.
• Partner with Marketing, CRM, Customer Experience, Product, Finance, Engineering, and Data teams to turn modelling into commercial decisions.

Requirements

• 2–4+ years in data science, with a proven record of deploying statistical and machine learning models on complex, messy, real-world data and demonstrating business impact.
• Experience building customer lifetime value, survival, propensity, or churn models, ideally for a subscription business and used in CRM or marketing.
• Strong experimental design and causal inference skills, including A/B tests, holdouts, control groups, uplift measurement, and incrementality.
• Experience sending model outputs to paid media, including value-based bidding, offline or server-side conversion events, or predicted-value audiences on Meta or Google.
• Experience with marketing mix modelling or attribution.
• Bachelor’s or master’s degree in a STEM-related field.
• Advanced Python and SQL proficiency with extensive experience using core data science libraries such as pandas, polars, and scikit-learn.
• Familiarity with cloud platforms such as AWS and orchestration tools such as Airflow or Dagster for operationalising data science products.
• Experience with Snowflake ML and robust data pipelines for scalable, production-ready data science solutions.
• Decision-first mindset: start from the business decision and owner, and recommend stopping when a test does not deliver.

Nice to have

• Subscriptions or direct-to-consumer business experience.

Culture & Benefits

• Hybrid working from the Richmond office.
• Private healthcare through AXA.
• A nine-day fortnight, with the office closed every other Friday.
• 25 days of annual leave plus 8 additional remote-working days.
• Equal-opportunity employer with a structured and inclusive recruitment process.

Hiring process

• CV review by the Talent Acquisition Team, followed by a Talent Acquisition call.
• Video call with the hiring manager, followed by a task presentation to an interview panel.
• Final informal conversation with peers; reasonable interview adjustments are available on request.