Job 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:

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Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon.

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Data Extraction, Cleansing and Manipulation – Manage large volume of data, research for variables and work with structured/unstructured data.

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Predictive Modelling – Development of models using appropriate predictive analytics techniques.

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Model Documentation – Explicit and Detailed Documentation of the modelling procedures.

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Model Deployment and Automation

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Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client’s need.

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Modeling / Data Science: Model training and development,



Model monitoring, refitting models, diagnostics/analysis and publishing the model.

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Model pipeline automation via airflow documentation.

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Development dashboards containing model validation and monitoring KPIs.

- Qualifications: Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)

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Essential Technological skills:

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Hands-on experience in developing and deploying Machine Learning and Generalized Lineal Models as well as data preparation, transformation and analysis

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Well versed in model development, validation, and monitoring process

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Expertise in tools like Python, Pyspark, SQL

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Good knowledge of Natural Language Processing and Text Mining

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Working knowledge with AWS Services like S3, EC2, EMR, Airflow, Sagemaker

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Working knowledge of Snowflake

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Experience in P&C; Insurance Industry is preferable.

📌 Manager (India)
🏢 EXL Service
📍 India