
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.
🔥 12 minutes ago
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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.
• Develop and implement predictive models using statistical and machine learning techniques such as regression, clustering, decision trees, and neural networks • Prepare, structure, and analyze large datasets from internal and external sources • Build and maintain programs for predictor and response variables, ensuring model accuracy, scalability, and reliability • Partner with business stakeholders to translate business challenges into analytical solutions • Analyze data to identify trends, patterns, opportunities, and potential business impacts • Present analytical findings and recommendations to technical and non-technical audiences • Explain modeling methodologies, data sources, assumptions, and results clearly • Perform data validation and quality checks • Contribute to predictive modeling frameworks, processes, and best practices • Develop knowledge of data sourcing, mapping, transformation, and integration across systems • Support enterprise data migration and transformation projects • Collaborate with analysts, data scientists, and business partners • Share knowledge and best practices with junior team members
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related discipline • Strong foundation in statistics, predictive modeling, and machine learning concepts • Experience working with large datasets and performing data preparation, transformation, and analysis • Experience developing and validating predictive or statistical models • Programming experience in Python, R, SQL, or similar analytical languages • Strong analytical and problem-solving skills • Ability to communicate technical concepts and analytical findings clearly to non-technical stakeholders • Strong attention to data quality, model accuracy, and analytical rigor • Ability to work collaboratively with business, technical, and analytics teams • Fluent English communication skills required • Valid, local legal authorization to work in Brazil at the time of hire
• 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 • CVs must be submitted in English • Valid, local legal authorization to work in the country where the role is based at the time of hire • No parallel employment, professional activities, or paid work for other entities during employment • Ownership, partnership, directorship, or participation in other businesses must be disclosed and formally reviewed under conflict-of-interest policies
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