Description
Lead AI solution strategy across multiple projects and teams. Drive innovation in AI solution practices and model optimization. Represent the AI solution team in executive meetings. Develop long-term plans for AI solution research and development.

Responsibilities

The job responsibilities include the following:
Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon.
Data Extraction, Cleansing and Manipulation – Manage large volume of data, research for variables and work with structured/unstructured data.
Predictive Modelling – Development of models using appropriate predictive analytics techniques.
Model Documentation – Transparent and Detailed Documentation of the modelling procedures.
Model Deployment and Automation
Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client’s need.
Modeling / Data Science: Model training and development,



Model monitoring, refitting models, diagnostics/analysis and publishing the model.
Model pipeline automation via airflow documentation.
Development dashboards containing model validation and monitoring KPIs.

Qualifications
Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
Essential Technological skills:
Hands-on experience in developing and deploying Machine Learning and Generalized Lineal Models as well as data preparation, transformation and analysis
Well versed in model development, validation, and monitoring process
Expertise in tools like Python, Pyspark, SQL
Positive knowledge of Natural Language Processing and Text Mining
Working knowledge with AWS Services like S3, EC2, EMR, Airflow, Sagemaker
Working knowledge of Snowflake
Experience in P&C; Insurance Industry is preferable.

📌 Manager Gurugram
🏢 EXL
📍 Gurugram