Senior Data Scientist in London

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.

Your Day to Day:

• Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.
• Apply sophisticated quantitative methods—including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching—to answer complex business questions with statistical rigor.
• Build and evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
• Analyze how consumer behavior evolves across PayPal's product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
• Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
• Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
• Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
• Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
• Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
• Leverage AI-assisted tools and modern analytical workflows—including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms—to accelerate analysis, automate recurring workflows, and scale insight delivery.

What You Need to Succeed:

• The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
• Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
• Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
• Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
• Demonstrated experience applying advanced analytical methods—including machine learning, causal inference, synthetic controls, or difference-in-differences—in a business context.
• Experience developing and deploying analytical models in research and production environments.
• Experience presenting findings and recommendations to business stakeholders, including senior leaders.
• Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
• Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
• Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.

The Traits to Exceed:

• You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving.
• Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
• Have a track record of translating rigorous analytical work into measurable business outcomes.
• Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
• Communicate complex ideas clearly and confidently to audiences at all levels of the organization.

We Believe in You:

Interested? Don't hesitate to apply and let's talk — we'd love to get to know you!