FBS - Actuarial Predictive Analytics Manager I

Capgemini

Mexico

On-site

MXN 2,034,000 - 3,051,000

Full time

18 hours ago
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Benefits offered by this job

Comprehensive benefits
Career development
Flexible work
Health insurance
Pension plan
Paid time off
Training & Development

Job summary

Farmers Insurance in the United States is seeking a Predictive Analytics Manager to lead a startup-like analytics initiative within a large insurer. You will design and deploy predictive models and data-driven solutions that improve profitability and operations across the enterprise.

You will partner with business teams, translate requirements into analytics, mentor junior analysts, and help scale analytics capabilities while staying current with industry trends in insurance analytics and

Qualifications

  • 6+ years in predictive analytics, data science, or related field.
  • Bachelor's degree in Mathematics, Statistics, CS, or related.
  • Insurance or pricing analytics experience is a strong plus.
  • Proficient in Python, R, and SQL; SAS a plus.
  • Ability to translate complex data into clear insights.

Responsibilities

  • Develop and implement predictive models using advanced statistics and ML.
  • Collaborate with stakeholders to translate needs into analytical solutions.
  • Present findings to non-technical audiences with clear business impact.
  • Prepare and structure large datasets for model development.
  • Mentor junior analysts and share best practices.
  • Ensure data quality and model validation.
  • Stay current on industry trends in insurance analytics.

Skills

Predictive analytics
Data science
Python
R
SQL
Communication skills
Mentoring

Education

Bachelor's degree in Math/Stats/CS

Tools

SAS

Job description

Farmers Insurance is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one the largest Insurance Groups in the world.

About The Role

We are looking for a Predictive Analytics Manager to join a newly established, high-impact team focused on transforming enterprise decision-making. This team is at the forefront of delivering timely, accurate, and forward-looking financial and operational insights by combining advanced analytics, actuarial concepts, automation, and AI-enabled capabilities.

In this role, you will help build predictive analytics capabilities from the ground up in a fast-paced, "startup-like" environment within a large organization. You will play a key role in designing and implementing data-driven solutions that drive profitable growth, improve operational efficiency, and strengthen business intelligence across the enterprise.

This is an excellent opportunity for a data-driven professional who enjoys autonomy, thrives in ambiguous environments, and wants to influence how analytics is built and scaled.

What You'll Do
  • 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
Requirements
  • 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
    • Experience with SAS is a plus
  • 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
Benefits

Competitive compensation and benefits package:

  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Note: Benefits differ based on employee level.

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