Data Science Director – Finance

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October 31

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Capgemini

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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

• - Contribute to advancing the company’s analytics vision during a critical phase of transformation, working alongside other Data & Analytics teams to embed data into the core of strategic decision-making. • - Assemble a high-performing, multicultural analytics team from scratch, aligning structure and skills with evolving business needs. • - Define and implement scalable processes, tools, and best practices to ensure consistent and high-impact analytics delivery. • - Collaborate directly with C-Level stakeholders to define KPIs, shape strategy, and deliver insights that influence top-level decisions. • - Lead time-sensitive projects with precision, ensuring insights are both fast and business-relevant. • - Convert complex data into clear, actionable recommendations that drive measurable business outcomes. • - Provide strategic and technical guidance to data scientists and analysts, fostering a high-performance culture. • - Use data to identify opportunities, solve problems, and accelerate growth across business units. • - Lead AI/ML model development and deployment, ensuring alignment with business goals and MLOps best practices. • - Work closely with IT, engineering, and business teams to optimize data infrastructure and analytics capabilities. • - Present complex analytics findings in a compelling and accessible way to both technical and non-technical audiences.

🎯 Requirements

• - Prior experience in P&C Insurance, Banking or Financial Services. • - Advanced SQL and Python for data modeling, forecasting, and auditing. • - Strong proficiency in Power BI (Data visualization). • - Ability to translate complex data into actionable business recommendations. • - Solid foundation in data science and analytics methodologies. • - Understanding of data’s role in driving innovation in regulated industries. • - Adoption and scalability of analytics processes across the organization. • - Team growth and effectiveness across multiple business lines. • - Familiarity with metrics such as GWP, NB, Retention Rate, Win Rate, Loss Ratio, PIF, and more.

🏖️ Benefits

• **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 • Note: Benefits differ based on employee level.