Description

Lead the planning and execution of data science use cases, ensuring alignment with business goals and objectives. 
Model Development: Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases 
Data Analysis: Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies. 
Collaboration: Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions. 
Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices. 
Stakeholder Communication: 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 (Azure). 
Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and Machine Learning. 

Required: 
• Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. 
• 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) 
• Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring. 
• Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis. 
• Experience with Dominos, Power BI, and/or Azure ML
• Statistical Knowledge: A strong understanding of statistics and mathematics is essential for data analysis and prediction

Key Skills

Education

Bachelor's or Master's degrees