Description

You will lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives.

This role is on-site.

Responsibilities

• Design, train, and optimize machine learning and deep learning models for marketing and business engagement use cases.
• Analyze complex datasets to identify trends, patterns, and actionable insights that inform business strategies.
• Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
• Visualize data, create reports, and present findings to senior management and cross-functional teams.
• Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools.

Required Skills

• 8+ years of overall experience in AI/ML engineering and/or data science.
• 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
• Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
• Experience in developing Machine Learning models using Python (preferably in the cloud).
• Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
• Experience with Azure ML, Databricks, and Power BI.
• Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.

Preferred Skills

• Bachelor's or Master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Strong understanding of statistics and mathematics for data analysis and prediction.
• Ability to stay up to date with the latest advances in AI, Data Science, and Machine Learning.

Key Skills

Education

Bachelor's or Master's degrees