Piramal - Manager - Group Analytics - Data Scientist

Industry - Banking

Skills - R, SAS, Python, SQL, Tableau, Analytics,

Job Type - Permanent

Job Description - Data scientists will be responsible for building and implementing next generation predictive models leveraging traditional and non-traditional data.

- In addition, data scientists will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.

- Data Scientists will work closely with internal stakeholders and be able to implement analytical solutions to drive higher ROI.

- Data scientists will interact and at times work with external partners in the industry to ensure he/she remains abreast with the knowledge in financial services industry especially in analytics domain

Essential Skills & Experience

- Predictive Analytics - Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering.

- Exploratory Data Analysis - Data Preparation, Data Exploration, and Data Visualization.

- Expertise - Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.

Analytics Tools - R, SAS, Python, SQL, Tableau, SPSS & MS Excel.

Master's in Economics, Statistics, Computer Sciences, Mathematics, Operational Research or any quantitative domain

Contact - Sonam Shah

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