Senior Data Scientist

Overview

As Senior Data Scientist at Trainline, you will own investigations spanning search, supply and commerce to improve the customer journey. You’ll link datasets, uncover root causes of incidents, and develop reusable analytical solutions with real business impact. You’ll mentor teammates and collaborate with cross-functional partners to turn insights into product and commercial improvements. This role offers breadth across pillars in a fast-moving, data-driven environment with a tangible impact on travellers’ experiences.

Pay / Benefits

• private healthcare & dental
• work from abroad policy
• 2-for-1 share purchase plans
• EV Scheme to reduce carbon emissions
• extra festive time off
• family-friendly benefits

Responsibilities

• Investigate incidents such as checkout errors, empty search results, and conversion declines to identify root causes
• Identify recurring patterns across incidents and build reusable solutions to reduce investigation time
• Work across search, supply and commerce, linking data sources to support multi-pillar projects
• Spot product and commercial opportunities from analysis and raise them with relevant teams
• Mentor junior colleagues and share problem-solving approaches to build team capability
• Partner with data scientists, data analysts and cross-functional teams for core customer experiences
• Balance competing priorities across multiple business areas to bring structure to ambiguity
• Contribute to continuous improvement by turning incidents into lasting improvements

Key requirements

• Senior level data science experience with demonstrated judgment and ownership
• Strong SQL and Python skills for exploring and analyzing complex datasets
• Experience across more than one business area or pillar
• Track record of owning a business or functional area and delivering outcomes
• Confidence mentoring junior colleagues and helping others grow
• Comfort working with detailed datasets and connecting diverse data sources
• Marketplace or tech-driven business experience preferred but not essential
• Experience with product analytics or using AI tools alongside SQL and Python is a plus

• Mentoring and coaching
• Strong problem-solving mindset
• Cross-functional collaboration
• SQL
• Python
• Data analysis of large datasets

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