Operational Responsibilities:
- Responsible to generate models based on business requirements
- Should work closely with the data scientist, onshore and offshore team to understand different business scenario, automate and create models in - Python
- Should be able to identify anomalies in data using different statistical tool
- Should be able to generate insights from data & share effectively with relevant stakeholders
- Suggest model change based on the change in business dynamic & data trends
- Responsible to document all the changes made in the models & business requirements
- Leverage root causes identified during Problem Resolution process to create new rules to automate emerging issue detection
- Observe claim adjudication process & anomalies detection and look for ways to continuously improve it
- Support ad-hoc complex analysis
- Automate ad-hoc complex analysis proven useful to enable junior analyst to use them on a recurrent basis.
- Explore new root cause analysis methodologies with warranty expert analysts and reliability engineers as a way to continuously improve the warranty analytics team capabilities
- Monitor and interpret process KPIs
People Management Responsibilities:
MUST HAVE:
Technical Skills;
- Expert in Python & - R
- Have worked extensively on SQL
- Expertise in developing text analytics models, AI & ML
- Experience in statistical/predictive modelling techniques like regression, multivariate analysis, forecasting, and reliability models, clustering techniques using python & R
- Experienced in working on big data platform Hadoop (HIVE, HDFS, PIG)
- Expert level capability in use of desktop software (MS Office Suite, with focus on analytical skills in Excel)
Didn’t find the job appropriate? Report this Job