Data Scientist, Predictive Analyst – Mid Level

🕒 May 30

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

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.

📋 Description

• - Help support Auto and Home Actuarial team update Base Rate Offset tool into Python. This role requires strong Python skills as well as self-learning skills. • - Contributes to the development and implementation of predictive analytics through the application of adva nced statistical and analytical techniques in order to deliver data driven insights supporting business objectives. • - Uses appropriate modeling techniques to address business needs. • - Utilizes broad knowledge of advanced modeling techniques and procedures to develop new modeling techniques and skills. Conducts appropriate evaluation of model performance. • - Designs and publishes reports to communicate results and track model performance. • - Develops various programs including predictor and response variable programs. Reviews programs to ensure they conform to quality standards. • - Supports preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models. • - Creates ad-hoc data analyses, as needed Communicates analytics to other modelers as well as to non-technical business partners. • - Contributes to the continuous improvement of the modeling process. Contributes to the continuous improvement of the modeling process.

🎯 Requirements

• **English Proficiency** • - Minimum Required: Fluent (We work 100% in English) • ****Software / Tool Skills** • - Python - Advanced • - SQL - Intermediate • - Power BI - Intermediate • - Excel - Intermediate****

🏖️ Benefits

• - Competitive salary and performance-based bonuses • - Comprehensive benefits package • - Career development and training opportunities • - Flexible work arrangements (remote) • - Dynamic and inclusive work culture within a globally renowned group • - Private Health and Dental Insurance • - Pension Plan • - Meals tickets • - Life Insurance

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