Analyst/ Sr. Analyst

1. Operate in collaboration with Business Teams and discover the opportunities in the Business environment, associated business risk and create solutions/platforms for the Business

· Formulate hypothesis / insights based on requirement of Business

· Develop different data science methodologies for the program

· Execute program based on Business Plan

2. Develop & create solutions using Advanced Data Science tools based on requirement of Business

· Identify and collect data required (structured and unstructured data)

· Transform and prepare data for the Model

· Apply multiple modelling techniques and do validation

· Deploy and monitor a validated model in an operational environment

3. Develop/Contribute by teaching and mentoring Business teams with basics of statistics concepts and methods essential to find structure in data and continuously develop and update herself/himself with application knowledge of advanced data science tools and techniques

· In depth statistical knowledge, good understanding of sampling, probability, distributions and scenario analysis both descriptive & inferential

· Application knowledge of basic ML algorithms and validation processes based on dataset

· Good exposure to predictive/prescriptive modelling, time series forecasting and recommendation systems

based on state-of-art ML/DL/RL techniques.

· Expertise in model deployment in on-premise and cloud-based environment including model monitoring and its maintenance

· Good knowledge on SQL, Database architecture, Python programming and Optimisation techniques

· The following operation knowledge will be an added advantage

o Data visualisation tools

o GCP (Google Cloud Platform)

o Oracle DB

o AIIMS Optimisation Tool

o Any Logic Simulation Tool