Data Scientist II at Mastercard
Role Type: Full-Time Recruitment
Year: 2026
🛠️ Key Skills Required
Please refer to the Job Description section below for the full list of required skills and qualifications.
📌 Hiring Details
Mastercard is hiring talented professionals for the position of Data Scientist II in Navi Mumbai, India (Finicity). This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
💡 Candidate Insights
Mastercard has announced exciting career opportunities for the position of Data Scientist II in Navi Mumbai, India (Finicity). This is a great chance for qualified candidates to join a globally recognized organization in 2026. Read on for complete details on eligibility, responsibilities, and how to apply.
✅ Why Apply at Mastercard?
- Work with a globally recognized Fortune-500 organization.
- Competitive salary packages and excellent employee benefits.
- Structured career growth and learning opportunities.
- Exposure to cutting-edge technologies and global projects.
📋 Job Requirements & Description
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Scientist IIWho 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 Data Scientist II. 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 technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
Role
- Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets.
- Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) and LLMs to solve analytical problem statement.
- 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 analysis, vision and roadmap effectively to a wide variety of stakeholders
All about you:
- 3-5 years in data science/ machine learning model development and deployments
- Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
- A strong understanding of 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. GenAI, LLMs, Agentic AI, TensorFlow, Python, Sklearn, Pandas, etc.).
- Strong desire to collaborate and ability to come up with creative solutions.
- Additional Finance and FinTech experience preferred.
- Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics.
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.
#AI
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.
🚀 Why Data Scientist II is a Strategic Career Move in 2026
Joining Mastercard as a Data Scientist II offers excellent growth prospects. Here's why this role is trending:
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
- Data Science is labeled the 'Sexiest Job of the 21st Century'.
Industry Insight: Data Scientist roles in Navi Mumbai, India (Finicity) are currently seeing high demand.
🎯 How to Prepare for Data Scientist II Role
To crack the interview at Mastercard, focus on the following:
- Brush up on Statistics and Probability theory.
- Practice SQL queries for data extraction and manipulation.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
🔗 Important Links & Apply
💡 Quick Interview Tips
- 📌 Research Mastercard's recent projects and company values before the interview.
- 📌 Prepare examples using the STAR method for behavioural questions.
- 📌 Review fundamentals related to the Data Scientist II role — especially domain-specific tools.
🎯 Final Thoughts
This Data Scientist II role at Mastercard is a fantastic opportunity to grow your career with a leading organization. Make sure your resume is updated and highlights your relevant skills before applying. We wish you the very best for your application process. Don't wait—apply today!
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
