Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
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.
10,000+ employees
Founded 1967
🏢 Enterprise
🤖 Artificial Intelligence
🔒 Cybersecurity
Data Scientist
May 7
Capgemini
Enterprise • Artificial Intelligence • Cybersecurity
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.
10,000+ employees
Founded 1967
🏢 Enterprise
🤖 Artificial Intelligence
🔒 Cybersecurity
📋 Description
• Capgemini is seeking a highly motivated and detail-oriented Data Scientist for a top 10 US Insurance Carrier. • Our Client 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, our Client is part of one the largest Insurance Groups in the world. • Role Description • Executes on moderate level business challenges involving data science. • Succeeds in projects by scoping, defining measures of success, utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines. • Executes on intermediate level projects with a sense of urgency. • Utilizes knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work. • Utilizes moderate knowledge of programing, complex ETL and specialized modeling methods to execute projects. • Demonstrates clean reusable code and effective documentation, encourages other to do the same. • Partners closely with IT, business, and data management/engineering teams to understand, utilize, and improve our data infrastructure. • Advises on fundamental concerns and serves as an objective and transparent partner to drive fact-based decision making and a measures of success culture. • Develops presentations and presents to leadership. • Occasionally communicates complex technical material understandable to non-technical associates. • Manages moderate model deployments via MLOps techniques. • Works with analytics and IT teams to deploy models/rules in various platforms and support testing of new solutions. • Mentors junior data science team members. • Provides coaching and knowledge around technical and non-technical skills.
🎯 Requirements
• Bachelor´s Degree in Data Science, Statistics, Mathematics, Business Analytics or related. • Full English proficiency • At least 5 years of experience working on large-scale structured and unstructured multidimensional data using moderately advanced knowledge of open-source cloud-enabled analytical programming languages and strong experience and knowledge of data analysis manipulation tools (SQL, Python, Snowflake) and cloud computing services (AWS). • Working knowledge of data visualization tools • Deep understanding of deploy models/rules in various platforms and support testing of new solutions. • Predictive Modeling • Machine Learning • Statistical Analysis • P&C Knowledge & Operations (rating making, reserving, claims, distribution, etc.) - Basic • Python • SQL • AWS Cloud Tools • PowerBI is a plus • Insurance Background is a plus
🏖️ Benefits
• This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses • Comprehensive benefits package • Career development and training opportunities • Flexible work arrangements (remote and/or office-based) • Dynamic and inclusive work culture within a globally renowned group • Private Health Insurance • Pension Plan • Paid Time Off • Training & Development
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