Data Analytics Data Scientist Launch Program 2027-India

Mastercard Inc.; Gurugram District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Mastercard is seeking a Data Analytics/Data Scientist for its Launch Program in India. The role focuses on gathering data, defining business problems, and linking AI methodologies to strategic challenges.

You will build AI/ML applications using current industry and academic advances, collaborating across functions and international teams. The program includes orientation, professional workshops, and opportunities to contribute to social impact initiatives, with a path toward a broader Mastercard

Qualifications

• Enrollment in a bachelor’s or accelerated master’s program graduating between Dec 2026 – Jun 2027.
• Less than 1 year of professional work experience (not including internships).
• Experience or coursework in data analysis.
• Knowledge of Python, R, and SQL with deep learning techniques.
• Big Data platforms such as Hadoop, Hive, Spark for deep learning.
• Classical ML algorithms like logistic regression, decision trees, clustering (K-means, etc.).
• Recommender systems with collaborative filtering ideas.
• Deep learning frameworks (TensorFlow, Keras, PyTorch).

Responsibilities

• Gather information to define the business problem.
• Link AI methodologies to identified business challenges.
• Develop AI/ML applications leveraging established industry/academic advances.
• Collaborate across functions and borders to execute the AI agenda.

Skills

Data analysis

Python

R

SQL

Deep learning

Machine learning

Recommender systems

Neural networks

Time Series

Education

Bachelor’s or accelerated master’s program

Tools

Hadoop

Hive

Spark

TensorFlow

Keras

PyTorch

XGBoost

Caffe

Job description

Job 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 Analytics/Data Scientist, Launch Program 2027-IndiaOverview

Mastercard works to connect and power a sustainable and inclusive global economy. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe in connecting everyone to endless, priceless possibilities.

Launch Program

• Four-day orientation focused on getting to know Mastercard, building your skills, and be a force for good (Mastercard’s culture)
• Professional skills workshops
• Launch Innovation Week
• Social impact – pro bono team challenge
• Global Volunteer Challenge

Role Description

• Gather relevant information to define the business problem.
• Creative thinker capable of linking AI methodologies to identified business challenges.
• Develop AI/ML applications leveraging the latest industry and academic advancements.
• Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda.

Qualifications

• Currently enrolled in a bachelor’s or accelerated master’s program graduating between December 2026 – June 2027.
• Less than 1 year of professional work experience (not including internships).
• Experience or demonstrated coursework in data analysis
• Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL
• Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning
• Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA
• Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil
• Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost
• Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus.

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.