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FBS - Predictive Analytics Manager I

1 month, 2 weeks ago
Mexico, Brazil
Full-time
Senior
Data Scientist
Data Science and Analytics
Feature Engineering Machine Learning Neural Networks Python R SQL
Apply Now
Capgemini

Capgemini

Capgemini is a global leader in consulting, technology services, and digital transformation, empowering businesses with innovative solutions and expertise to thrive in a rapidly evolving market.

Internet Software & Services
100K+
Founded 1967
$93M raised
View All Jobs 73

Description

  • Develop and implement predictive models using statistical and machine learning techniques.
  • Build and maintain programs for predictor and response variables to support model accuracy and scalability.
  • Partner with business stakeholders to translate needs into analytical solutions and actionable insights.
  • Present analytical findings to non-technical audiences and explain methods, data sources, and business impact.
  • Explore, prepare, and structure large internal and external datasets for model development and enhancement.
  • Design and continuously improve modeling frameworks, processes, and best practices.
  • Validate data quality and model integrity through rigorous 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 while sharing best practices.

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.
  • Advanced knowledge of statistical analysis, data mining, data preparation, and feature engineering.
  • Strong understanding of data ecosystems and the ability to navigate complex data environments.
  • Ability to translate complex data into clear, actionable insights and present findings to diverse audiences.
  • Problem-solving mindset with the ability to work independently in a fast-evolving environment.
  • Experience building or contributing to analytics capabilities from scratch is highly valued.
  • Collaborative, 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.
  • Private health insurance.
  • Pension plan.
  • Paid time off.
  • Training and development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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