Senior Data Scientist - Dublin

IRL - County Dublin - Dublin - Corp - Ballycoolin Business Park, Ireland

PayPal

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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. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

What you need to know about the role:

As a Senior Data Scientist, you’ll partner with cross-functional teams to turn complex data into actionable insights that drive key strategic decisions and safeguard the business. You’ll work across areas such as fraud risk, customer experience, and operational performance to identify trends, build scalable analytics solutions, and influence stakeholders at all levels.

Meet Our Team:

You will be part of a dynamic, mission-driven analytics organization that spans fraud and risk monitoring, business intelligence, and operational performance. In this collaborative environment, you’ll engage with data scientists and engineers who build our platforms, product owners who define strategic initiatives, compliance and finance experts who guide risk and regulatory measures, and operations leads who implement process improvements. Together, you’ll harness data to protect the company, optimize the customer journey, and drive efficiency at scale.

Job Description:

Your Way to Impact

In this role, you will spearhead analytics initiatives that shape strategic direction, driving growth, profitability, and risk mitigation. You will design, validate, and monitor predictive models and business rules to uncover actionable insights, while delivering data-backed recommendations on new products, policy changes, and operational improvements. By translating complex analyses into clear narratives and intuitive dashboards, you will influence decision-making at all levels and partner closely with stakeholders to ensure analytics solutions are aligned with evolving business needs and deliver measurable impact at scale.

Day‑to‑Day Responsibilities

  • Analyse large, complex datasets to identify patterns, anomalies, and opportunities.

  • Monitor key metrics (e.g., fraud rates, loss ratios, customer KPIs) and develop forecasting models.

  • Define requirements and collaborate with data engineering and data science teams on data pipelines, model deployments, and platform enhancements.

  • Design and maintain dashboards and reports (e.g., in SQL, BI tools) to inform real-time decision-making.

  • Partner with global stakeholders to align analytics priorities and measure impact against targets.

What You’ll Bring

  • Experience: 6+ years in data science or a related field, preferably within fintech, e‑commerce, or financial services.

  • Technical Skills:

  • Proficiency in SQL and Python (or R) for data querying, analysis, and automation

  • Familiarity with BI tools (e.g., Tableau, Looker, Power BI) and cloud data platforms (e.g., BigQuery, Snowflake)

  • Understanding of fundamental statistical and machine learning concepts (e.g., regression, classification, clustering)

  • Domain Knowledge: Exposure to fraud prevention, risk modelling, or operational analytics is a plus.

  • Communication: Strong ability to distill complex data into compelling insights and influence stakeholders.

  • Collaboration: Proven track record of working effectively in cross‑functional teams to deliver measurable business outcomes.

  • Education: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent experience; advanced degree a plus.

Preferred Qualification:

.

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion 

PayPal provides equal employment opportunity (EEO) 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 federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com.  

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: BigQuery Business Intelligence Classification Clustering Computer Science CX Data pipelines Economics Engineering Finance FinTech Fraud risk KPIs Looker Machine Learning Mathematics Pipelines Power BI Python R Security Snowflake SQL Statistics Tableau

Perks/benefits: Career development Flex hours Health care Insurance Wellness

Region: Europe
Country: Ireland

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