Chief Machine Learning Architect

Job Title : Data Scientist

Overview

We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for applying Artificial Intelligence (AI) & Machine Learning (ML) solutions to complex business problems in the insurance space.

The ideal candidate will have a strong background in machine learning, with experience building and deploying ML models using AWS tools such as SageMaker and Bedrock.

As a Data Scientist, you will be working on a variety of projects, from classic machine learning to applying the latest advancements in generative AI.

Key Responsibilities

• Own the ML lifecycle for designated projects, including scoping, data prep, model development, validation, and handoff for deployment.
• Develop robust machine learning models and implement clean, testable Python code using libraries such as pandas, scikit-learn, and PyTorch / TensorFlow as needed.
• Design and execute SQL queries to profile, join, aggregate, and validate large datasets in Snowflake.
• Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure.
• Package models using Docker and deploy via CI / CD pipelines.
• Use AWS services like SageMaker and Lambda for scalable deployment.
• Monitor model performance and automate retraining workflows.
• Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability.
• Use monitoring tools (Streamlit, Power BI) to track model drift and accuracy.
• Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations.
• Present findings in stakeholder meetings and webinars.

Requirements

Benefits

This role offers a unique opportunity to work with a talented team and contribute to cutting-edge projects. You will have the chance to develop your skills and expertise in machine learning and AI, and work on diverse and challenging projects.

In addition, you will receive competitive compensation and benefits package.

How to Apply

If you are a motivated and experienced Data Scientist looking for a new challenge, please submit your application. We look forward to hearing from you!

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