Job Summary We’re looking for a data scientist to join our UK team in London. This role goes beyond providing reports and analyses by generating insights through extensive data analysis. The candidate will develop a deep understanding of PayPal’s payments business, our site and mobile app functionality, and enhance their analytic, leadership, and presentation skills while collaborating with a wide range of functional teams. Essential 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.

Minimum Qualifications

5+ years of relevant experience and a Bachelor’s degree OR an equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications Key Responsibilities

Collaborate with stakeholders in Marketing, Product, Sales, Portfolio, and Finance to achieve business objectives using data‑driven solutions. Aggregate large and varied datasets, building pipelines to serve reports and dashboards. Develop insights in areas such as 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 high‑priority initiatives. Work with Legal and Compliance stakeholders to meet regulatory objectives, including Consumer Duty compliance.

Requirements

Degree in a quantitative field is highly desirable; equivalent experience may be considered. 8+ years in data science/analytics, specifically within consumer credit (credit cards, personal loans, BNPL, neobank, etc.) involving diverse datasets and stakeholders. Experience with SQL (essential); proficiency in creating dashboards (Tableau) and scripting with Python. Familiarity with AI and LLM‑based tools (e.g., Claude, ChatGPT) to accelerate analysis is a plus. Strong written and verbal communication skills; capable of building relationships with non‑technical stakeholders and translating 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 is desirable.

Equal Employment Opportunity PayPal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. #J-18808-Ljbffr