Data Scientist, Launch Program 2027 – India

Role Overview

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.

What You Will Do

As a Data Scientist, you will have the opportunity to gather relevant information to define the business problem, develop AI/ML applications leveraging the latest industry and academic advancements, and work cross-functionally to effectively execute the AI agenda.

Why It Might Be a Fit

We believe in connecting everyone to endless, priceless possibilities. We are looking for a creative thinker capable of linking AI methodologies to identified business challenges.

Requirements

• 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

Benefits

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