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Company Description
We are advocates for rail travel, motivated to create a more sustainable, environmentally friendly future of travel. Our mission drives us. It energizes us because we know we are making a difference. As we pioneer towards a greener future, we do it as a team. We are all about connections - with each team member, with our customers, and with the world around us. Just like our platform connects the world, our goal unites us. We encourage each other to push beyond our boundaries, to be innovative, to embrace failure and to continually grow.
With more than 110 million visits to our platform every month and £4.3 billion in net ticket sales, we constantly innovate, moving forward towards our end goal — a world where traveling is as simple, effortless, and affordable as it ought to be.
None of this would be possible without our incredible team propelling us forward. Today, we are a FTSE 250 company, offering a dynamic and diverse work environment, home to over 1000 'Trainliners' from over 60 different nationalities, across offices in London, Paris, Barcelona, Milan, Edinburgh, Berlin, Madrid, and Brussels. Our strength lies in our vibrant cultural diversity which powers our ability to achieve great things.
With future growth targets set in Europe, there has never been a better time to come on board this high-speed train and be part of our success.
Great journeys start with Trainline.
Job Description
Introducing Data Science at Trainline! Data Science is crucial to how we develop products, satisfy our customers and expand our business. Our Data Scientists work within cross-functional teams throughout the product and marketing departments. They operate with a high level of autonomy, empowered to drive their team’s success using all available data and methodologies.
As a Data Scientist, your role involves driving insights and strategies for the product team, designing and measuring value through experimentation, focusing on metrics and objectives, and gaining in-depth knowledge of what is most impactful for each team. You will understand the intricate dynamics of our complex environment, identify insights and strategic directions using this knowledge. Most importantly, you should focus on driving impact within the product team using any analytical and statistical techniques that will yield the most returns.
Trainline's Data Science team operates as part of the wider Data organization within the tech department, and is supported by our data engineering teams, data platform teams, and Machine Learning teams. Our self-sufficient model creates a huge opportunity for personal influence and impact. As a Data Scientist on the team, you will be actively driving innovation by contributing to strategy, execution, and continuous learning.
As a Data Scientist at Trainline, your main responsibilities will be to influence product and business outcomes, have the autonomy to initiate change and have an obsession with making a business impact. More specifically, you will:
- Develop deep understanding of our product experiences and growth opportunities
- Contribute actively to the roadmap and goals for the product team
- Regularly review cross-functional team progress towards goals
- Highlight and articulate new product opportunities to shape team direction
- Support product experimentations, launches, growth through data-driven decision making whilst ensuring the team remains accountable and impactful
- Define focus through metrics, enabling broad spectrum of learning from experimentation and release cycles
Qualifications
We would welcome your application if you have:
- Over 2 years proven experience using Data Science and analytics to drive business decisions
- Ability to simplify and articulate the results of complex analyses to all levels, including senior management
- Experience in Product engagement valuation and success measurement. For instance, familiarity with executing AB testing to evaluate product effectiveness, or using front-end data to quantify the effectiveness of new features and how it impacts user engagement
- Capability to navigate complex and/or ambiguous data sets, conduct analyses, and generate clear insights and actionable results
- Strong PowerPoint and presentation/communication skills
- Excellent data visualization skills using tools such as Tableau, Spotfire, Power BI etc.
- Expertise in predictive modelling, including parametric (e.g. logit/probit) and non-parametric techniques (e.g. random forest, neural net), and other ML techniques such as clustering, or random forest (desirable)
- Tech Stack: SQL, Python, R, Tableau, Power BI, AWS Athena + more
Additional Information
Why should you jump on board?
We pay special attention to learning and development, organizing quarterly company learning days and offering a learning budget that you can utilize towards resources of your choice. Your professional subscription costs are covered, and you will have access to our dedicated learning platform.
At Trainline, we take employee wellbeing seriously. We host puppy therapy sessions, yoga classes in-office, run Mental Health First Aider training as part of several company benefits.
We regularly host fun social events such as pub quizzes, karaoke nights, and large-scale Summer and Winter Festivals every year. Additionally, we love hosting meetups in our fantastic event spaces, providing opportunities to support internal and external community groups.
We also hold companywide hackathons and our annual Trainline Tech Summit, wherein our team can share their stories, learning experiences or new skills with their colleagues in a supportive environment.
Our flexi-first approach: We believe in the importance of a healthy work-life balance and the value of a flexible workforce. Our flexible first approach outlines our commitment to a hybrid work structure. We value the energy of our workplaces, and that’s why we offer the best of both worlds. In practice, this means attending the office for at least 40% of the time over a 12-week period. These in-office days are typically lead by the team which allows us to come together, collaborate and create.
Our Values:
- Think Big: We are building the future of rail
- Own It: We care about every last detail
