Data Science Manager

Jobtailor; Connecticut; On-site; USD 170,000 - 250,000; Full time

Job summary

Jobtailor seeks a senior leader to manage a team of data scientists and data engineers, driving ML/AI initiatives for the Claims organization. You will shape research, design, deployment, and governance of models to deliver business impact.

With expertise in Python, SQL, and statistical modeling, you will communicate insights to senior leadership and collaborate across Data Engineering, IT, and business partners to deploy scalable solutions in an insurance context.

Qualifications

• Graduate degree in STEM with 6–8 years of insurance/data science experience.
• PhD preferred with 4–6 years in insurance/data science/AI.
• Experience mentoring or managing talent.
• Experience developing and deploying predictive models into production.
• At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
• Strong proficiency in Python and SQL.
• Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
• Strong written and verbal communication skills for business stakeholders and leadership.
• Claims experience preferred.

Responsibilities

• Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain ML/AI solutions for the Claims organization.
• Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
• Manages project scope, expectations, and timelines.
• Collaborates with Data Engineering, IT, and business partners to operationalize ML/AI solutions.
• Follows model governance processes including planning, validation, deployment, monitoring, and review.
• Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
• Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Skills

Machine Learning

AI Technologies

Python

SQL

Statistical Modeling

Predictive Modeling

Software Development Best Practices

Communication Skills

Mentoring

Team Management

Data Science

Analytics

Insurance Industry

Claims experience

Git

Version Control

Data Engineering Collaboration

Education

Graduate degree in Mathematics/Statistics/Engineering

PhD in Mathematics/Statistics/Engineering

Tools

Git

Version Control

Job description

• Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
• Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
• Manages project scope, expectations, and timelines.
• Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
• Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
• Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
• Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Requirements

• Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
• PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
• Prior experience mentoring or managing talent.
• Experience developing and deploying predictive models into production.
• At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
• Strong proficiency in Python and SQL.
• Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
• Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
• Claims experience preferred.

Core Competencies

Demonstrates expertise in managing teams to develop and deploy machine learning and AI solutions, with a strong focus on model governance, performance monitoring, and continuous improvement. Proficient in communicating complex technical concepts to stakeholders and leading projects within the insurance industry.

Highest-signal resume keywords

• Machine Learning
• AI Technologies
• Python
• SQL
• Statistical Modeling

ATS Optimization Keywords

Hard Skills

• Machine Learning
• AI Technologies
• Statistical Modeling
• Predictive Modeling
• Software Development Best Practices

Soft Skills

• Communication Skills
• Mentoring
• Team Management

Industry Keywords

• Insurance Industry
• Data Science
• Analytics

Tools & Technologies

• Git
• Version Control