Our Mission

Trainline is the leading independent rail and coach travel platform selling rail and coach tickets to millions of travellers worldwide.  Via our highly rated website and mobile app, people can seamlessly search, book and manage their journeys all in one place. We bring together millions of routes, fares and journey times from 270 rail and coach carriers across 45 countries.  We offer our customers the best price for their journey and smart, real time travel information on the go.  Our aim is to make rail and coach travel easier and more accessible, encouraging people to make more environmentally sustainable travel choices.

 

Over half of our staff are technologists, we're changing the way that people travel through the use of high quality software and technological innovation.

 

Data @ Trainline

Data is at the heart of what we do, creating data-driven products that both challenge and change how our customers travel and enable our Trainliners to make better and more informed decisions. The Data team comprises Data Scientists, Data Engineers, BI Engineers as well as Reporting and Marketing specialists.

 

Data is at the heart of what we do at Trainline with a vision to ignite data-driven innovation and improvements throughout the company and the industry.  Within the Data team we have a breadth and depth of experience and capability across building our Data Platform, Data Engineering and Data Science.

 

Data Science is central to how we build products, make decisions, delight our customers and grow our business.  Our data scientists are embedded in cross-functional teams which exist across product and marketing.  Data scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.   

 

As a data scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team.  You will be able to develop and launch machine learning and data-driven features when needed, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever techniques that will unlock the most impact.

 

Data science at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and core data science for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact – as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning.

 

 

As a Data Scientist you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will; 

 

- Develop deep understanding of our product experiences and opportunities for growth

- Actively contribute to roadmap and goals for the product pillar

- Drive regular cross functional team reviews to measure progress toward goals

- Discover and articulate new product opportunities helping shape the team's direction

- Build train and test models and data API’s to support data-driven features

- Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful

- Define focus through metrics to enable a broad spectrum of learning from experimentation / release cycles

 

 

- University degree or equivalent, preferably in a quantitative field (such as economics, mathematics, engineering, finance etc.)

- At least 3 years of data science experience;

- Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management

- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc

- Experience of Product engagement evaluation and measurement of success. For example, running AB testing to evaluate product effectiveness or using front end data to quantify the effectiveness of new features and how it changes user engagement

- Navigating imperfect data sets and complexity/ambiguity of analysis to derive clear insights and actionable results

- Excellent Excel skills; good PowerPoint skills

- Experience of working with multiple data sources including Oracle and AWS Athena (desirable)

- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

- Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques

Our Culture

Everything begins with great people, as well as aptitude, we put a heavy emphasis on attitude.

- We prioritise the focus on being one team over elevating the heroics of an individual, for us the true heroes are those individuals who are excellent at nurturing, coaching and generous in sharing their knowledge with others.

- Everything that we do takes into account the morale of every member of our team, their opportunities for growth and for participation in exciting challenges.

- We have a mentoring community that is constantly growing, we provide people with mentors or buddies from various teams.

- We hire awesome people capable of making smart decisions - empowerment is a great enabler of agility.

 

We value open expression at Trainline, we believe it’s the diversity of experience, backgrounds and perspectives of our employees that makes us who we are. We encourage everybody to play a part in changing the way people travel across the world.