# Predictive Analytics Manager I

**Company**: Capgemini
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Consulting
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/hEYCcWhpZHeEJHheVdm6GE/remote-fbs---predictive-analytics-manager-i-in-mexico-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8e4d9f7d-ee4

## Description

Farmers Insurance, one of the United States' largest insurers, serves over 10 million U.S. households with more than 19 million individual policies. As part of a global insurance group, they offer a range of insurance and financial services.

We are seeking a Predictive Analytics Manager I to join a new team focused on transforming enterprise decision-making through advanced analytics, actuarial concepts, automation, and AI. In this role, you will build predictive analytics capabilities from the ground up, driving profitable growth, improving operational efficiency, and strengthening business intelligence.

Responsibilities:

- Develop and implement predictive models using advanced statistical and machine learning techniques such as regression, clustering, decision trees, and neural networks.

- Build and maintain programs for predictor and response variables, ensuring model accuracy and scalability.

- Collaborate with business stakeholders to understand needs, translate them into analytical solutions, and communicate actionable insights.

- Present analytical findings to non-technical audiences, explaining methodologies, data sources, and business impact.

- Explore, prepare, and structure large datasets 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 such as 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 a related field.

- Bachelor's degree in Mathematics, Statistics, Computer Science, or a 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.

- 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.

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.

## Skills

### Required
- Python
- R
- SQL
- Machine Learning
- Statistical Analysis
- Data Mining
- Predictive Modeling

### Nice to have
- SAS

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