Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Data Scientist, Monetisation image - Rise Careers
Job details

Data Scientist, Monetisation

About us:

We are champions of rail, inspired to build a greener, more sustainable future of travel. 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. 

Great journeys start with Trainline 🚄 

Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. 

Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. 

💻 Data Scientist

📍London (Hybrid, 40% in office)

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.  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 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 Data Scientist at Trainline, you will... 🚄    

As a Data Scientist on the Monetisation team, you will lead analytical efforts to optimise ad performance and drive revenue growth. You will develop statistical models, conduct deep analyses, and generate insights to enhance ad targeting, partnerships, and ancillary strategies. Collaborating with engineers, product managers, and commercial teams, you will translate complex data into actionable recommendations that improve ad effectiveness. 

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 team.  

  • 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... 🔍    

  • 2+ 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.  

  • Experience of product engagement evaluation and measurement of success. 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.   

  • 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, AWS Athena + More! 

More information:

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, 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. Jump on board and supercharge your career from day one! 

Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: 

  • 💭 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. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor

Trainline Glassdoor Company Review
3.8 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
Trainline DE&I Review
3.9 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
CEO of Trainline
Trainline CEO photo
Jody Ford
Approve of CEO

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Monetisation, Trainline

At Trainline, we are passionate about revolutionizing travel and making it greener and more accessible for everyone. As a Data Scientist on the Monetisation team based in London, you’ll play a pivotal role in optimizing ad performance and driving revenue growth. With over 2 years of experience in data science, you’ll lead analytical efforts that deeply analyze our product experiences and identify new opportunities for growth. Your expertise will empower you to translate complex data into actionable insights, enabling cross-functional teams to thrive. Imagine collaborating with engineers, product managers, and commercial teams, driving innovation and continuous learning! You’ll also have the autonomy to influence product and business outcomes significantly. Use your predictive modeling skills and a variety of analytical techniques, like A/B testing, to showcase the effectiveness of our features and engage more users. Plus, we offer fantastic perks such as private healthcare, generous family-friendly benefits, and a strong emphasis on career growth with defined paths in our diverse and inclusive team. Get ready to thrive in a dynamic environment where great journeys start with Trainline, Europe’s leading rail app!

Frequently Asked Questions (FAQs) for Data Scientist, Monetisation Role at Trainline
What are the responsibilities of a Data Scientist at Trainline?

As a Data Scientist at Trainline, your primary responsibilities include optimizing ad performance, conducting deep analyses, and developing statistical models to drive revenue growth. You’ll collaborate closely with engineers and product managers to ensure that your data-driven insights translate into actionable recommendations that enhance product effectiveness and profitability.

Join Rise to see the full answer
What qualifications do I need to become a Data Scientist at Trainline?

To qualify for the Data Scientist position at Trainline, you need at least 2 years of commercial experience in data science and analytics, strong skills in statistical modeling, and experience with A/B testing. Additionally, you should possess excellent communication skills to clearly articulate complex analyses to various stakeholders, including senior management.

Join Rise to see the full answer
What technologies do Data Scientists at Trainline use?

Data Scientists at Trainline utilize various technologies such as SQL, Python, R, and Tableau for data analysis and visualization. Familiarity with AWS Athena or other data platforms is also beneficial, especially when working on machine learning techniques and predictive modeling.

Join Rise to see the full answer
How does Trainline ensure career growth for Data Scientists?

Trainline is committed to the career growth of its Data Scientists by providing clear career paths, transparent pay bands, personal learning budgets, and regular learning days. You’ll have the opportunity to continually develop your skills and advance within the organization.

Join Rise to see the full answer
What is the company culture like for Data Scientists at Trainline?

The company culture at Trainline fosters inclusivity and diversity, encouraging collaboration and teamwork. With values that prioritize thinking big, ownership, and making a positive impact, you will be part of an environment that values your contributions and promotes personal growth.

Join Rise to see the full answer
Common Interview Questions for Data Scientist, Monetisation
Can you describe your experience with A/B testing?

In your response, outline specific examples where you have successfully designed and executed A/B tests, including the metrics you used to measure success and any insights gained from the process that influenced product decisions.

Join Rise to see the full answer
How do you approach data visualization?

Discuss your preferred tools such as Tableau or Power BI and provide examples of how you've used data visualization to communicate complex findings effectively to different stakeholders, highlighting the impact of your visualizations on business decisions.

Join Rise to see the full answer
What statistical methods are you experienced with?

Be sure to mention techniques such as regression analysis, clustering, or other predictive modeling methodologies you've applied to real data problems, emphasizing how these methods have contributed to your past projects' success.

Join Rise to see the full answer
How do you stay current with data science trends and best practices?

Share any resources you follow, such as blogs, journals, or communities, and explain how you apply new strategies or technologies in your work to continually enhance your skill set and keep your analyses fresh and relevant.

Join Rise to see the full answer
Describe a time when you faced a challenging data problem.

Illustrate a specific instance where you navigated a complex data issue, what steps you took to solve it, and the outcome of your efforts. This demonstrates your problem-solving abilities and resilience.

Join Rise to see the full answer
How do you ensure the accuracy of your data analyses?

Discuss the techniques and checks you implement to validate your data sets and results, including peer reviews or using multiple data sources to triangulate your insights.

Join Rise to see the full answer
How do you prioritize competing projects when working in a team?

Explain your approach to project management, such as using planning tools or prioritization frameworks, to balance the needs of various stakeholders while ensuring impactful outcomes.

Join Rise to see the full answer
What role do you think data science will play in the future of Trainline?

Share your vision of how data science can drive innovation and enhance customer experience at Trainline, potentially discussing emerging technologies or methodologies that could be beneficial.

Join Rise to see the full answer
Can you give an example of how your work has impacted business outcomes?

Provide a case study or anecdote where your data findings led to a significant change in strategy, product enhancement, or revenue growth, detailing your involvement and the measurable results.

Join Rise to see the full answer
What motivates you to work in data science?

Convey your passion for data analytics, problem-solving, and how being part of a team focused on making travel easier and more efficient resonates with your professional goals and values.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 6 days ago
Photo of the Rise User
Allegiant Hybrid Las Vegas, NV
Posted 11 days ago
Shaker Recruitment Marketing Hybrid 1100 Lake St, Oak Park, IL 60301, USA
Posted 14 days ago
Photo of the Rise User
Central California Alliance for Health Remote Mariposa County, California; Merced County, California; Monterey County, California; San Benito County, California; Santa Cruz County, California
Posted 10 days ago
Photo of the Rise User
DoorDash USA Hybrid San Francisco, CA; Sunnyvale, CA; Seattle, WA
Posted 2 days ago
Photo of the Rise User
Atomic AI Hybrid South San Francisco, California, United States
Posted 12 days ago

We are Europe’s leading independent rail and coach platform. Our aim is to bring together all rail, coach and other travel services into one simple experience so people can get the best prices and smart, real time travel info on the go.

25 jobs
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 11, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
LATEST ACTIVITY
Photo of the Rise User
134 people applied to Data Annotation Specialist at FI
Photo of the Rise User
Someone from OH, Columbus just viewed US Product Designer at Praxent
Photo of the Rise User
56 people applied to Data Entry Clerk at Barkerross
Photo of the Rise User
35 people applied to Data Entry Operator at AECOM
Photo of the Rise User
Someone from OH, Cleveland just viewed Accounting Co-Op (Part-Time) at Avery Dennison
Photo of the Rise User
Someone from OH, North Ridgeville just viewed Product Manager at ShiftCare
Photo of the Rise User
Someone from OH, North Ridgeville just viewed Product Operations at Binance
Photo of the Rise User
Someone from OH, Mentor just viewed Sales & Service Lead - Pinecrest at Alo Yoga
Photo of the Rise User
Someone from OH, Mason just viewed Marketing & Communications Intern at Per Scholas