Senior Data Scientist

PayPal, Inc.; London; Hybrid; GBP 70,000 - 95,000; Full time

Job summary

A global payment solutions company in London is seeking a Senior Data Scientist to lead their data science initiatives. This role involves developing advanced machine learning models, collaborating with stakeholders, and mentoring junior data scientists. Candidates should have a minimum of 5 years of relevant experience, deep knowledge of Python, and experience with graph neural networks. This position offers a flexible work model, combining in-office and remote work.

Benefits

Flexible work environment

Employee shares options

Health and life insurance

Qualifications

• Minimum of 5 years experience in relevant data science roles.
• Expertise in developing and optimizing machine learning models.
• Solid understanding of data quality management.

Responsibilities

• Lead the development of advanced data science models.
• Collaborate with stakeholders to gather requirements.
• Mentor junior data scientists and drive best practices.

Skills

Advanced machine learning techniques

Python programming

Graph Neural Networks

Scalable machine learning pipelines

Education

Bachelor's degree in a related field

Tools

TensorFlow

Keras

PyTorch

Spark

Kubeflow

GCP Services

Job description

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:
This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Job Description:

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

The Ads Tech team is building PayPal's next generation advertising platform. It's a greenfield project based on advanced AI and large systems engineering to best utilize the wealth of merchant and transaction data available within the firm. The Ads Tech engineer's role will help to design and develop key parts of the platform. We believe in egoless programming - everybody is an equal and we value learning from and helping each other. We enjoy solving hard problems, but we recognize we cannot do so as individuals.

Job Description:
We are seeking a highly skilled Senior Data Scientist with a deep understanding of advanced machine learning techniques and frameworks. The ideal candidate will have extensive experience in Python, graph neural networks, and scalable machine learning pipelines. If you are passionate about developing innovative solutions and driving impactful projects, we want to hear from you!
Key Responsibilities:

• 5+ years experience in developing and optimizing machine learning models using Python with TensorFlow, Keras, and/or PyTorch.
• Expertise in Graph Neural Networks (GNNs) for node and link prediction, graph embedding, and graph-based classification.
• Proven experience in customer segmentation and/or recommendation systems tailored to client needs.
• Work with transformer models (e.g., BERT, GPT) in real applications, particularly within GenAI workflows.
• 5+ years experience in building and maintaining scalable ML pipelines using tools such as Kubeflow, MLFlow, Vertex AI, and SageMaker.
• 5+ years experience in processing and analyzing very large datasets using Spark or similar frameworks.
• Working with vector databases (e.g., Pinecone) for embedding-based applications including search and similarity tasks.
• Utilize GCP Services to deploy models at scale, particularly BigQuery and Vertex AI.

Nice to Have:

• Experience with GraphRAG and Knowledge Augmented Generation (KAG).
• Knowledge of Deep Neural Networks, Multi-task Learning (MTL) and AdTech.

Subsidiary:
PayPal

Travel Percent:
0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

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 [e-mail].

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.