Lead Predictive Analytics Manager – Insurance & AI

Capgemini

United States

On-site

USD 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Comprehensive benefits package
Career development and training
Flexible work arrangements
Dynamic and inclusive work culture
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development

Job summary

Farmers Insurance is seeking a Predictive Analytics Manager to help build a high-impact analytics function from the ground up. You will design and implement data-driven solutions, working in a fast-paced, startup-like environment within a large organization.

You will lead predictive modeling initiatives, mentor junior analysts, and partner with business stakeholders to translate needs into actionable insights that drive profitable growth and improved operational efficiency across the enterprise.

Qualifications

  • 6+ years of experience in predictive analytics, data science, or related field.
  • Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
  • Professional experience in insurance or pricing analytics is a strong plus.
  • Strong experience with Python, R, and SQL.
  • Advanced knowledge of predictive modeling and machine learning techniques.
  • Statistical analysis and data mining.
  • Data preparation and feature engineering.
  • Strong understanding of data ecosystems and ability to navigate complex data environments.
  • Ability to translate complex data into clear, actionable insights.
  • Excellent communication skills, with the ability to present analytical findings to diverse audiences.
  • Problem-solving mindset with the ability to work independently in a fast-evolving environment.
  • Experience contributing to or building analytics capabilities from scratch is highly valued.
  • Collaborative and proactive approach, with a willingness to share knowledge and mentor others.
  • Experience working with cross-functional teams in data-driven environments.

Responsibilities

  • Develop and implement predictive models using advanced statistical and machine learning techniques (e.g., regression, clustering, decision trees, neural networks)
  • Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability
  • Partner with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights clearly
  • Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact
  • Explore, prepare, and structure large datasets (internal and external) to support model development and enhancement
  • Contribute to the design and continuous improvement of modeling frameworks, processes, and best practices
  • Ensure data quality and model integrity through rigorous validation and review processes
  • Develop a strong understanding of the data landscape, including sourcing, mapping, and integrating data across systems
  • Support enterprise data initiatives (e.g., data migration and transformation programs)
  • Collaborate with and mentor junior analysts, sharing knowledge and promoting best practices
  • Stay current on industry trends, particularly within insurance analytics and predictive modeling

Skills

Predictive analytics
Data science
Python
R
SQL
Communication
Mentoring

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field

Tools

SAS

Job description

Farmers Insurance is seeking a Predictive Analytics Manager to help build a high-impact analytics function from the ground up. You will design and implement data-driven solutions, working in a fast-paced, startup-like environment within a large organization.

You will lead predictive modeling initiatives, mentor junior analysts, and partner with business stakeholders to translate needs into actionable insights that drive profitable growth and improved operational efficiency across the enterprise.

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