Associate Decision Scientist

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🕒 June 24

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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

• Shaping and optimizing data pipelines • Conducting in-depth statistical analyses • Building predictive models that influence key business decisions • Working closely with stakeholders across functions to explore questions • Telling stories through data and driving innovation through analytics • Designing dashboards with Power BI and Excel • Helping build end-to-end data pipelines using SQL and Python • Developing knowledge in statistical modeling, machine learning, and data storytelling

🎯 Requirements

• 1 to 3 years of experience; • Experience with SQL, Python; • Experience with Power BI or other data visualization tools; • Entry level knowledge with modeling and machine learning algorithms; • Nice to have • Insurance and actuarial skills;

🏖️ 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