At a Glance
- Tasks: Drive insights and strategy for product teams using data science and analytics.
- Company: Join Trainline, Europe's leading independent rail platform focused on greener travel.
- Benefits: Enjoy private healthcare, generous leave, and a work-from-abroad policy.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Make a real impact on sustainable travel while innovating in the rail industry.
- Qualifications: 5+ years in data science with strong analytical and communication skills.
The predicted salary is between 60750 - 74250 £ per year.
About us At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.
We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels. Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
Now is a brilliant time to join us and help shape the future of travel.
Introducing Data Science & Analytics at Trainline Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts 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. Data Science and Analytics 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 Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), which is the B2B arm of Trainline that provides seamless rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe. TPS also works to develop new technologies/products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses.
With a team of over a hundred technologists delivering daily data-driven product releases and platform updates, TPS prioritises scalability, security and above all else innovation. As sustainability becomes a key focus in travel, TPS is dedicated to making rail a more accessible and efficient choice for businesses and travellers alike.
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.
- Develop deep understanding of our product experiences and opportunities for growth.
- 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.
5+ years commercial experience using data science and analytics to drive business decisions.
Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management. For example, running A/B tests 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.
Experience using AI to responsibly accelerate your coding for analysis, as well as basic automation of day-to-day work processes.
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, AWS Athena + More!
Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days.
We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.
Think Big - We're building the future of rail. Own It - We focus on every customer, partner and journey. Travel Together - We're one team. Do Good - We make a positive impact.
We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought.
Senior Data Scientist- Hybrid in London employer: Trainline
Trainline is an exceptional employer, dedicated to fostering a culture of innovation and sustainability in the travel industry. With a strong emphasis on employee growth, we offer clear career paths, personal learning budgets, and a supportive environment for mentorship and collaboration. Our hybrid work model, generous benefits, and commitment to diversity make Trainline a rewarding place to build a meaningful career while contributing to a greener future.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist- Hybrid in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Trainline!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist- Hybrid at Trainline.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Trainline.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist- Hybrid at Trainline, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist- Hybrid in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trainline, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trainline. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trainline
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trainline!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
