Data Scientist & AI Senior Engineer

Purpose: Strengthen the advanced analytics practice by working closely with Consumer Business Unit on impactful use cases to contribute to business strategy and roadmap. Functional Context : Analytics team is the custodian of analytics enablement within the organization. This team serves as a shared function and utilizes the power of data and BI to provide timely and accurate insights and turn business problems into opportunities. Role:

Understand business requirement for Consumer Business Unit and implement data mining models to do value addition on top of existing analyticsEnd to end AI/ML based model building & advance analytics use cases in data science tool (e. g. , SAS /R/Python) and SQL with feature extraction, pre-processing of data, training, scoring, and actionable insight extraction. Working as part of shared function across organization on use cases to support product growth, cost optimization, customer engagement etc. Feature engineering and insights through statistical measures/algorithms/graphs/info graphics.

AI/ML based Advanced Analytics Models Training/Scoring and automation Presenting results of the models in a business-friendly format Continuous support to use case owner departments by optimizing the models via optimization and self-learning Aggressive tracking of results and utilization of leads. Manage the Data Science Operational Framework. Minimum Experience, Essential Knowledge & Skills: At least Eight (8) years of years of experience in AI/ML base advanced analytics and development experience using a leading data science tool. At least Five (5) years with a telecom operator in similar capacity while working with Technology teams. Excellent understanding of Telco.

Commercial practices Minimum Entry Qualifications: Bachelor’s Degree from a reputed Educational Institute in Computer Science, IT. Preferred Qualifications (if any): Certification in leading data science tools.