Data Analytics/Data Scientist, Launch Program 2027-India

Your Role Here’s what you will be doing:

Gather relevant information to define business problems. Apply creative thinking to link AI methodologies to identified business challenges. Develop AI/ML applications leveraging the latest industry and academic advancements. Collaborate cross-functionally and across borders with a broader team to execute the AI agenda effectively.

About You The company is looking for candidates who meet the following qualifications:

Currently enrolled in a bachelor’s or accelerated master’s program, graduating between December 2026 and June 2027. Less than 1 year of professional work experience (excluding internships). Experience or demonstrated coursework in data analysis. Knowledge of deep learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL. Familiarity with Big Data platforms such as Hadoop, Hive, Spark, and GPU Clusters for deep learning. Understanding of classical machine learning algorithms including Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, and Time Series ARIMA/ARMA. Experience with recommender systems such as Collaborative Filtering, FPMC, FISM, and Fossil. Knowledge of deep learning algorithms like Random Forest, GBM, KNN, SVM, Bayesian methods, Text Mining techniques, Multilayer Perceptron, Neural Networks including Feedforward, CNN, LSTM, and GRU is a plus. Familiarity with optimization techniques including Activity regularization (L1 and L2), Adam, Adagrad, Adadelta, and cost functions in neural nets such as Contrastive Loss, Hinge Loss, Binary Cross Entropy, and Categorical Cross Entropy. Experience developing applications in Kernel Ridge Regression (KRR), Natural Language Processing (NLP), Speech, and Image processing. Knowledge of deep learning frameworks for production systems like TensorFlow, Keras, PyTorch, XGBoost, Caffe, and Theano is a plus.

Training & Development The Launch Program supports your transition from student to Mastercard employee and includes:

Four-day orientation focused on Mastercard culture and skill-building. Professional skills workshops. Launch Innovation Week. Social impact pro bono team challenge. Global Volunteer Challenge.

Corporate Security Responsibility

Abide by Mastercard’s security policies and practices. Ensure confidentiality and integrity of accessed information. Report any suspected information security violations or breaches. Complete all mandatory security trainings as per Mastercard guidelines.