Data Science Intern in London

Job description

Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

As a Data Science Intern at PayPal, 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. Please note this is a 12 week full-time Summer internship located in London. We require candidates to have appropriate working rights for this opportunity.

Your Day-to-day Will Involve

  • Using modeling and analytics to understand how business decisions impact our bottom line.
  • Developing fraud prevention solutions for complex use cases
  • Leveraging data analysis tools and technologies. For example, using machine learning to determine new fraud trends.
  • Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal.
  • The Ideal Candidate Is

  • 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.
  • Basic Qualifications

  • Actively pursuing or recently obtaining a Master's degree in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)
  • Basic experience with data extraction, analysis, and visualization tools such as SQL, Python

  • We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

    Extra information

    Status
    Open
    Education Level
    Other
    Location
    London
    Working hours per week
    4 - 40
    Type of Contract
    Casual / Part Time Jobs
    Published at
    07-02-2021
    Profession Sub-category
    Customer Service
    Full UK/EU driving license preferred
    No
    Car Preferred
    No
    Must be eligible to work in the EU
    No
    Cover Letter Required
    No
    Languages
    English

    London | Customer Service Jobs | Casual / Part Time Jobs | Other

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