Description

Data Scientist responsible for designing, deploying, and operating production ML and GenAI solutions to optimize business outcomes in the insurance and financial sectors.

This role is on-site.

Responsibilities

• Own technical decisions, project outcomes, timelines, and production stability within a defined domain.
• Design, train, and optimize machine learning and deep learning models for marketing and business engagement use cases.
• Analyze complex datasets to identify trends and actionable insights using SQL and exploratory data analysis.
• Integrate AI capabilities into business applications and workflows via APIs, SDKs, and microservices.
• Present findings to senior management through clear visualizations and storytelling.

Required Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or 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.
• Strong proficiency in Python for developing Machine Learning models, preferably in the cloud.
• Strong SQL knowledge and data analysis skills for data anomaly detection and exploratory data analysis.
• Familiarity with Dominos, Power BI, and/or Azure ML.
• Strong understanding of statistics and mathematics for data analysis and prediction.

Preferred Skills

• Experience with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring.
• Knowledge of ML-Ops best practices, distributed computing, and cloud-native architectures for efficiency and scalability.

Key Skills

Education

Bachelor's or Master's degrees