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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and analytics to drive business decisions, with a strong focus on product engagement evaluation and A/B testing. Proficient in predictive modeling and data visualization, leveraging tools like Tableau and SQL to derive actionable insights.
Highest-signal resume keywords
Data ScienceA/B TestingPredictive ModelingData VisualizationSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisProduct Engagement EvaluationPredictive ModelingA/B TestingData-Driven Decision-MakingStatistical TechniquesMachine Learning TechniquesData Set NavigationAutomationComplex Analysis
Soft Skills
Communication SkillsPresentation SkillsCollaborationInfluencing SkillsClear Articulation
Tools & Technologies
TableauPower BISpotfireSQLPythonRAWS Athena
Industry Keywords
B2B SolutionsRail Travel SolutionsProduct RoadmapCross-Functional TeamGrowth Opportunities
Tech Stack
Tools & technologiesAWSPythonSQLTableau
About the role
Key responsibilities & impact- Develop deep understanding of product experiences and opportunities for growth
- Actively contribute to product-team roadmap and goals
- Drive regular cross-functional team reviews to measure progress toward goals
- Discover and articulate new product opportunities and help shape team direction
- Support product experiments, launches, and growth through data-driven decision-making
- Define focus through metrics to enable learning from experimentation and release cycles
- Influence product and business outcomes with autonomy and business impact
- Work within Trainline Partner Solutions, the B2B arm providing rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe
Requirements
What you’ll need- 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
- Experience of product engagement evaluation and measurement of success
- Experience running A/B tests to evaluate product effectiveness or using front-end data to quantify feature effectiveness and changes in 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 coding for analysis and basic automation of day-to-day work processes
- Strong PowerPoint and presentation/communication skills
- Strong data visualisation skills using tools like Tableau, Spotfire, and Power BI
- Expertise in predictive modelling, including parametric techniques such as logit/probit and non-parametric techniques such as random forest and neural networks
- Knowledge of wider ML techniques such as clustering and random forest is desirable
- Tech stack experience with SQL, Python, R, Tableau, and AWS Athena
- Ability to commit to attending the office a minimum of 60% over a 12-week period
Benefits
Comp & perks- Private healthcare and dental insurance
- Generous work from abroad policy
- 2-for-1 share purchase plans
- EV Scheme
- Extra festive time off
- Excellent family-friendly benefits
- Clear career paths
- Transparent pay bands
- Personal learning budgets
- Regular learning days
- Hybrid working model
- 28-day Work from Abroad policy