Director, Applied Data Science


London, UK

Application Deadline

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary: Director, Applied Data Science


Reporting to the Vice President of Analytics and Metrics and working with the TST Applied Data Science team, the Director will drive enterprise-level impact from data science solutions by leading a team of data scientists and engineers; managing delivery and scaling of existing data science models; and lead experimentation and innovation to develop new capabilities.

The Role

1/ Lead a team of data scientists and engineers

  • Recruit, hire, and train distinctive data science and ML engineering talent
  • Serve as a senior technical leader on the team, guiding individual contributors in their development of data science and ML engineering solutions
  • Engage business and technical stakeholders across Mastercard to co-create solutions and collaboratively solve data science problems
  • Continuously raise the bar on the capabilities and impact of our data science solutions

2/ Manage delivery and scaling of existing models

  • Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution.
  • Implement Agile practices to scale development of individual solutions across distributed cross-functional teams
  • Lead the engineering team to deploy and manage critical models in production

3/ Lead experimentation and innovation

  • Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms.
  • Stay abreast of the latest advancements in data science, continually applying new techniques to enhance analytical capabilities.
  • Manage long-term development of market-differentiating capabilities alongside day-to-day value delivery

All about you

  • 7+ years of experience in data science with at least 2 as a people managerStrong experience in Python
  • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics.
  • Highly structured and organized with the ability to plan work to maximize the team's productivity and effectiveness.
  • Deep understanding of the AI development lifecycle
  • Proficiency in big data technologies like Hadoop, Spark, or similar frameworks.
  • Excellent skills in data visualization and interpretation.
  • Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects.
  • Excellent communication skills, capable of explaining complex data concepts in simple terms.
  • Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud.
  • Proven track record of delivering data products in environments with strict adherence to security and model governance standards.
  • Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master’s degree in one of these disciplines preferred.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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