Description
At Trainline, our purpose is to empower greener travel choices, connecting people and places.
As a Senior Data Scientist, you will take ownership of investigations and solutions that span search, supply and commerce, working with detailed datasets and linking data sources to support projects across pillars.
Responsibilities:
- Work across search, supply and commerce, bringing together diverse datasets to tackle complex problems and deliver projects that span multiple pillars.
- Identify opportunities for our customers and our business, using data to shape solutions and building tools and approaches that make the wider team more effective.
- Develop a deep understanding of the customer experience, getting to the root causes of recurring problems and working cross-functionally to turn insights into lasting improvements.
- Drive continuous improvement by identifying recurring patterns and turning what you learn into reusable tools, frameworks and solutions that reduce investigation time and help the wider team move faster.
- Surface product and commercial opportunities through your analysis, connecting insights to business context and bringing opportunities to the right teams timely to drive action.
- Mentor and guide colleagues across Data and partner teams, helping others build their analytical capability and confidence.
- Partner closely with data scientists, data analysts and cross-functional teams across search, supply, commerce to solve problems that cut across organisational boundaries.
- Navigate competing priorities across multiple areas of the business, bringing structure, clarity and sound judgement to fast-moving and ambiguous situations.
Requirements:
- Substantial experience as a Data Scientist at a senior level, with the confidence, judgement and autonomy that come from having operated at this level before.
- Track record of owning a business or functional area end to end, taking responsibility for identifying opportunities, shaping the analytical approach and driving outcomes.
- Experience working across multiple business areas or domains, navigating competing priorities and adapting your approach to different problems, stakeholders and contexts.
- A strong track record of delivering measurable business impact through product analytics, translating data and insights into decisions and actions that improve customer and business outcomes.
- Strong SQL and Python skills, used confidently to explore, analyse and draw actionable insights from complex datasets.
- Confidence working with large, unfamiliar and diverse datasets, bringing together multiple data sources to build a robust and comprehensive understanding of a problem.
- Experience mentoring and supporting other Data Scientists, helping colleagues develop their technical skills, analytical thinking and approach to problem-solving.
Benefits:
- 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.
- Prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days.