Job Description
Job Title:
Lead Data Scientist
Overview:
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Manager, Data Science. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong people leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
Role
Manage, Lead, mentor and grow data science teams focused on developing production-grade services and capabilities
Plan and direct data science / machine learning projects within the team.
Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data.
Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models.
Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science.
Present technical problems and findings to business leaders internally and to clients succinctly and clearly.
Leverage best practices in machine learning and data engineering to develop scalable solutions.
Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team
Be a strong, confident, and excellent writer and speaker, able to communicate your vision and roadmap effectively to a wide variety of stakeholders
All about you:
Managed, grew and attracted the talent to build the team
Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
A strong understanding and hands on LLM, NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods.
Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis.
Solve problems that are new to the company, the financial industry and to data science
SQL / Database experience is preferred
Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms.
Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.).
Strong desire to collaborate and ability to come up with creative solutions.
Additional Finance and FinTech experience prefered.
Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
Lead Data Scientist
Overview:
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Manager, Data Science. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong people leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
Role
Manage, Lead, mentor and grow data science teams focused on developing production-grade services and capabilities
Plan and direct data science / machine learning projects within the team.
Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data.
Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models.
Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science.
Present technical problems and findings to business leaders internally and to clients succinctly and clearly.
Leverage best practices in machine learning and data engineering to develop scalable solutions.
Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team
Be a strong, confident, and excellent writer and speaker, able to communicate your vision and roadmap effectively to a wide variety of stakeholders
All about you:
Managed, grew and attracted the talent to build the team
Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
A strong understanding and hands on LLM, NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods.
Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis.
Solve problems that are new to the company, the financial industry and to data science
SQL / Database experience is preferred
Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms.
Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.).
Strong desire to collaborate and ability to come up with creative solutions.
Additional Finance and FinTech experience prefered.
Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
💡 Quick Summary
Seeking a career-building opportunity? The Lead Data Scientist position is now open for candidates interested in the Software Developer Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.