Job Description: We are also looking for a go getter person who can define:

- Has excellent hands-on experience working on end-to-end model development process using AI and ML models, preferably in Insurance domain
- Has worked on defining, developing and deploying ML/AI projects
- Has developed analytical strategies to meet the demands of business requirements and convert business problems into data science-based solutions
- The person will be part of the Data Science team for a major Insurance client. He/ She will work with different stakeholders as SME for data science.
- Engages in technical problem solving across multiple technologies; often needs to develop new solutions.
- A typical workday will involve collaborating with stakeholders as an individual contributor or with junior data scientists to gather requirements, develop AI/ML models and deploy them to achieve business objectives.
- A suitable candidate should have 4+ years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity.

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 – Clear 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: Required Education and Essential Skills

- Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
- Essential Technological skills:
- Hands-on experience in developing and deploying Machine Learning, Generalized Linear Models and Deep Learning 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
- Working knowledge of any cloud environment

- Experience in P&C; Insurance Industry is preferable.

📌 Lead Assistant Manager (India)
🏢 EXL Service
📍 India