Python Job: Data Science- Risk Strategy and Analysis Intern

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: What you need to know about the role Our 2023 Data Science / Risk Strategy & Analysis Internship Programme is now open for applications. All submissions received will be assessed on a continuous basis throughout Winter 2022 / Spring 2023. Internship duration: 6 months, starting July 2023 Internship location: Ireland To be considered, applicants must currently be enrolled in a bachelor’s or master’s degree in a quantitative field (Business, Maths, Economics, Finance, Statistics, Science, Engineering). You should also have an interest and general knowledge of the Payment industry, Fintech companies and more broadly Internet/e-commerce. You will also have experience with or willingness to learn data extraction, analysis, and visualization tools such as SQL, R, Python, Tableau. Applicants must reside in the country where the internship is based, for the duration of the internship and must hold the required work authorization.

Job Description:

Your way to impact

Using your analytical skills, you will support the team as we tackle major company challenges. You will act as a business consultant to drive recommendations and implement solutions that ultimately impact the bottom line. And you will do it all by collaborating with a global team of colleagues across sales, operations, product, data science, and finance in an environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

Your day to day

• Using modeling and analytics to understand how business decisions impact our bottom line. This may include assessing risks of new products, determining fraud policies, or identifying inefficiencies in existing operations.
• Ensuring the team is delivering on our KPIs by using various data mining and data visualization tools to monitor portfolio performance and identify improvement opportunities
• Developing hypotheses through account reviews and set up your own problem frameworks to test for the best solutions. You will also scope the operational feasibility, lead implementation efforts, and monitor the success of your solutions.
• Leveraging data analysis tools and technologies. For example, using machine learning to determine new fraud trends.
• Creating new solutions rooted in empathy and research that assist all customers as they work to better manage their finances.
• Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal.

What do you need to bring?

• Innovative & Curious - You have the desire and ability to connect and empathize with our customers. You have an entrepreneurial spirit and get excited about creating new businesses and reinventing current ones. You ask why, explore, and bring your unique perspective to the table.
• Analytical & Action-Oriented - You are data driven and outcome focused. You grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. You have a desire to take action, try new things, and sometimes fail. You persevere but know when to change course and are up for juggling multiple deliverables.
• Collaborative & Team-Oriented - You always keep the people around you informed and are excited to communicate complex ideas clearly to make sure your co-workers understand the “why” behind their work and their key priorities.

• Inclusive - You will empathize with those around you and care about their success, as you bring people together around what’s possible. \

• Currently enrolled in a bachelor’s or master’s degree in a quantitative field (Business, Maths, Economics, Finance, Statistics, Science, Engineering)
• Experience with or willingness to learn data extraction, analysis, and visualization tools such as SQL, R, Python, Tableau

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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:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

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 [email protected].

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.