Key Responsibilities:

Marketing Analytics Domain Understanding:
Understanding of P&C insurance marketing/ Campaign working understanding
Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
Programming, reporting the findings, using end results to contribute to large scale planning and processes to create decision strategy
Generate campaign and project performance reports with ability to understand marketing concept
Data Analytics:
Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
Review and analyze complex data aggregations
Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
ML techniques:
Knowledge of Modelling based on large set of variables from varied sources
Understanding and working knowledge of statistical and Machine learning techniques

Qualifications & Skills:

Education: Masters in Statistics/Economics/MBA, Engineering
Experience: 3-6 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.
Technical Skills: Python for data analytics and modeling, Machine Learning Techniques,
Organizational Skills: Strong time-management skills, with the ability to manage multiple projects and deadlines. Outstanding ability to multitask.
Communication: Strong verbal and written communication skills for collaborating with internal and external teams.
Competencies: Strong attention to detail and problem-solving skills.

Machine Learning Specialist