Predictive Analytics Manager I

🕒 June 23

🌐 Brazil, Mexico – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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

• 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

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