Senior Data Scientist
London, United Kingdom
Applications have closed
Trainline
Wondering what it's like to work at Trainline? Our people come first, and our benefits are designed with health, wellbeing and work-life balance in mind.Company Description
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.
Job Description
Introducing Data Science at Trainline👋
Data Science is central to how we build products, 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 Senior 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 determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits.
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 ML teams 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 at Trainline, you will...🚄
As a Senior 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
- 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
We'd love to hear from you if you have...🔍
- Proven experience in Data Science
- Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management
- 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
- Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results
- Strong PowerPoint and presentation/communication skills
- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.
- Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable)
- Tech Stack: SQL, Python, R, Tableau, Power BI, AWS Athena + More!
Additional Information
But why should you join?
You will be working in a high performing and collaborative multi-cultural team. We have over 42 nationalities across our 5 offices in London, Paris, Edinburgh, Barcelona and Milan who work closely together.
We want our people to stretch their minds, abilities, and share their knowledge. Each year we hold The Trainline Tech Summit, which provides Trainliners with an opportunity to stand up and share their story, learnings, or new skills with their colleagues in a safe environment.
We've always paid special attention to flexible working as we value a strong work/life balance. The pandemic has taught us that a balance between remote working and being in a collaborative office environment leads to productive teams.
Our Culture
Coaches Over Heroes
We prioritise the focus on being one team over elevating the heroics of an individual, for us the true heroes are those who are excellent at nurturing, coaching and generous in sharing their knowledge with others.
Well-being
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.
Mentoring and Learning
We have a mentoring community that is constantly growing, we provide people with mentors or buddies from various teams.
Trust
We hire awesome people capable of making smart decisions - empowerment is a great enabler of agility. It is within a supportive team that you will feel the strength to thrive and try new things knowing that everyone will be there for you along the way.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Clustering Deep Learning Engineering Machine Learning Power BI Python R Spotfire SQL Statistics Tableau Testing
Perks/benefits: Career development Flex hours Startup environment
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