Data Scientist (New Business)

Location: London, United Kingdom; hybrid model with office work required at least 60% of the time over a 12-week period. A 28-day Work from Abroad policy is available.

Company

hirify.global is a European rail and coach travel platform helping customers find and book journeys through its app, website, and B2B partner channels.

What you will do

• Own data science work from question definition through solution delivery and impact measurement within an embedded product team.
• Analyse customer behaviour and product usage to identify friction, opportunities, and potential business value.
• Identify ways to simplify customer journeys and add value across insurance, protection, hotels, car hire, attractions, and other travel experiences.
• Design, run, and analyse experiments using sound statistical methods, and help define success metrics.
• Build, test, and improve forecasting, personalisation, and customer behaviour prediction models.
• Translate findings into practical recommendations for product and monetisation strategy for technical and non-technical audiences.

Requirements

• Hands-on experience applying data science to real product or customer problems, ideally within an embedded or cross-functional team.
• Confidence using Python and SQL to explore large customer-activity datasets, build models, and write efficient, readable code.
• Experience evaluating product engagement and measuring success, including A/B testing or using front-end data to assess feature effectiveness and changes in user engagement.
• Ability to explain complex ideas simply and adapt communication for different audiences.
• Experience with SQL, Python, R, Tableau, and AWS Athena.

Nice to have

• Interest in monetisation, advertising, recommendations, or e-commerce.
• Familiarity with dbt, Looker, or Tableau.

Culture & Benefits

• Hybrid work with a 28-day Work from Abroad policy.
• Private healthcare and dental insurance.
• 2-for-1 share purchase plan and an EV scheme.
• Extra festive time off and family-friendly benefits.
• Clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
• Inclusive workplace focused on thinking big, ownership, teamwork, and positive impact.