Senior Data Scientist

Salary: £58,000 - 98,000 per year

Requirements:

• We require 3+ years of relevant experience and a bachelors degree, or an equivalent combination of education and experience.
• We are looking for a data-driven candidate with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
• We need significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience with large and complex datasets.
• We require advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real business problems.
• We are looking for demonstrated experience applying advanced analytical methods such as machine learning, causal inference, synthetic controls, or difference-in-differences in a business context.
• We need experience developing and deploying analytical models in research and production environments.
• We require experience presenting findings and recommendations to business stakeholders, including senior leaders.
• We value proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
• We need strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
• We are looking for someone who can work proactively and independently in a fast-paced environment, manage competing priorities, and bring structure to complex business challenges.

Responsibilities:

• We lead the development and implementation of advanced data science models.
• We collaborate with stakeholders to understand requirements.
• We drive best practices in data science.
• We ensure data quality and integrity in all processes.
• We mentor and guide junior data scientists.
• We stay updated with the latest trends in data science.
• We lead deep-dive analyses to uncover drivers of business performance, diagnose trends, challenge assumptions, and identify growth opportunities.
• We apply sophisticated quantitative methods, including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching, to answer complex business questions.
• We build and evolve customer segmentation frameworks to reveal distinct consumer cohorts and support targeted growth strategies.
• We analyze how consumer behavior evolves across our product ecosystem and quantify the impact on activation, retention, monetization, and customer value.
• We monitor key consumer funnel metrics across products, customer segments, and geographies.
• We develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
• We lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
• We partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
• We serve as a trusted analytical partner by translating complex analyses into clear, actionable recommendations.
• We leverage AI-assisted tools and modern analytical workflows, including LLM-based technologies, to accelerate analysis and scale insight delivery.

Technologies:

• AI
• Support
• LLM
• Looker
• Machine Learning
• Marketing
• Python
• SQL
• Security
• Tableau
• ChatGPT
• Claude Code
• Network

More:

We are PayPal, a global commerce platform operating in approximately 200 markets, helping consumers and businesses move money, sell, shop, and complete payments securely and simply. Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy, focused on uncovering untapped growth opportunities across our product suite through advanced analytics, experimentation, and causal inference. This Senior Data Scientist role is based in London, County London, England, United Kingdom, is full time, and follows our balanced hybrid work model for most employees, with 3 days in the office and 2 days split between the office or home. We offer comprehensive, choice-based benefits to support physical, emotional, and financial wellbeing, including generous paid time off, healthcare coverage for you and your family, and resources for financial security and mental health. We are committed to inclusion, innovation, collaboration, wellness, diversity, and belonging, and we strive to create a flexible, supportive environment where our people can do their best work.

last updated 34 week of 2026