Data Scientist

Role Overview

The Data Scientist will own Tails.com’s predictive modelling and machine learning work, with a primary focus on improving customer lifetime value (LTV) and driving more sustainable, profitable growth. They will build and develop models that help the business better understand which customers are likely to stay, spend and engage long-term, using these insights to improve acquisition strategies, customer retention and the overall customer experience.

What You Will Do

The Data Scientist will build and develop models that help the business better understand which customers are likely to stay, spend and engage long-term, using these insights to improve acquisition strategies, customer retention and the overall customer experience. They will work closely with Performance Marketing, CRM, Customer Experience & Retention, Product, Finance, Engineering and Data teams, taking ownership of projects from identifying opportunities and building models through to testing, implementation and measuring commercial impact.

Why It Might Be a Fit

The Data Scientist will have ownership & influence, commercial impact, and cross-functional exposure, with the opportunity to shape the wider data science roadmap and influence business strategy.

Requirements

• 2-4+ years in a data science role
• proven track record of deploying statistical and machine learning models on complex, messy, real-world data
• experience building customer lifetime value, survival, propensity or churn models
• strong experimental design and causal inference
• experience feeding model outputs into paid media
• experience with marketing mix modelling or attribution
• advanced proficiency in Python and SQL
• experience working with core data science libraries
• familiarity with cloud platforms and orchestration tools
• experience leveraging Snowflake ML and robust data pipelines
• decision-first mindset
• highly desirable: subscriptions or D2C business experience

Benefits

• Private Healthcare through AXA
• 9 day fortnight
• 25 days of Annual Leave
• 8 additional remote working days