Data Science, Manager/ Lead (Insurance, 65k)

Lead the design, development, and production deployment of machine learning solutions, automated data pipelines, and advanced customer analytics models. Drive technical excellence across the data science lifecycle, including solution architecture, engineering standards, code quality, and team mentorship. Perform data preparation, feature engineering, and customer segmentation to generate actionable business insights.

Develop, validate, and optimize predictive models such as propensity, churn, future value, and risk-scoring models. Establish model monitoring frameworks, track performance, and proactively manage model drift and degradation. Collaborate with Product, Marketing, and Technology teams to embed analytics into business processes and customer engagement initiatives.

Translate complex analytical outputs into clear business insights for both technical and non-technical stakeholders. Enhance model performance through continuous feature innovation and integration of new data sources. Work closely with Cloud, Infrastructure, Cybersecurity, DevOps, and IT teams to ensure scalable, secure, and resilient deployments.

Manage project deliverables, timelines, milestones, risks, and stakeholder communications. Act as a key liaison between business and technical teams to align analytics initiatives with strategic objectives. ML in Cloud environment, Churn Prediction Model

Partner IT, Cloud, Infra - Deployment, Milestone Update Bachelor's or Master's degree in Data Science, Statisti