About this role

Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, RAG, Vector Database) and Agentic AI solutions.
Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, Lang Chain etc.) would be a necessary requirement.
Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary.
Exposure to Generative AI and Agentic AI technologies.

Potential candidates should possess 3 to 7 years of working experience as a Data Scientist.
BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics).
Possess a strong analytical mindset and be very comfortable with data.
Experience with handling both relational and non-relational data.
Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn).
Background of Computer Science with excellent Data Science working experience.

Data Scientist

Key skills