Company Overview
PayPal is a global payments platform that connects merchants and consumers in approximately 200 markets. The company promotes inclusion, innovation, collaboration, and wellness.
Job Summary
Data Scientist – London, UK. Lead data science projects, generate insights from PayPal’s data, collaborate with cross‑functional teams, mentor junior scientists, and drive strategic initiatives.
Responsibilities
- Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
- Develop and maintain data models, algorithms, and reporting systems to support analysis and decision‑making.
- Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
- Collaborate with cross‑functional teams to understand data needs and provide actionable insights.
- Ensure data quality and integrity through regular audits and validation processes.
- Mentor and guide junior data scientists, fostering continuous learning and improvement.
- Collaborate with stakeholders in Marketing, Product, Sales, Portfolio, and Finance to achieve business objectives using data‑driven solutions.
- Aggregate PayPal’s large datasets and build data pipelines for reports and dashboards.
- Develop insights in customer segmentation, product usage, marketing campaigns, and portfolio behaviour.
- Design and analyze A/B tests and experiments to evaluate product and marketing initiatives, translating results into clear recommendations.
- Identify key metrics and build executive‑facing dashboards to track progress of the business.
- Work with Legal and Compliance to achieve regulatory objectives, including Consumer Duty compliance.
Qualifications
- A Bachelor’s degree (or equivalent combination of education and experience) and 5+ years of relevant experience.
- 8+ years in a data science/analytics role in consumer credit (credit cards, personal loans, BNPL, neobank, etc.) with diverse datasets and stakeholders.
- Strong experience with SQL, Tableau (dashboard creation), and Python. Familiarity with AI and LLM‑based tools (e.g., Claude, ChatGPT) is a plus.
- Excellent written and verbal communication skills, with the ability to build relationships with non‑technical stakeholders and translate complex problems into actionable solutions.
- Good understanding of financial products and payments data, ideally in a regulated environment.
- Experience mentoring junior colleagues or leading a small team.
- A degree in a quantitative field is highly desirable but not mandatory.
Benefits
- Hybrid work model – 3 days in office, 2 days remote.
- Generous paid time off.
- Healthcare coverage for employees and families.
- Resources for financial security and mental health support.
Equal Employment Opportunity Statement
PayPal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We will provide reasonable accommodations for qualified individuals with disabilities.
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