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About the Role

We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.

Responsibilities

• Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.
• Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.
• Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.
• Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.
• Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.
• Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.
• Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.
• Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.
• Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.
• Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.
• Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.
• Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.
• 5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.
• Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.
• Strong experience developing Machine Learning models using Python, preferably in cloud environments.
• Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.
• Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).
• Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.
• Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.
• Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.
• Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.

Skills

• Machine Learning
• Artificial Intelligence
• Generative AI
• Python
• Azure cloud technologies
• Azure Machine Learning
• Domino Data Lab
• Power BI
• SQL
• Data Analysis
• Anomaly Detection
• Data Validation
• Exploratory Data Analysis (EDA)
• Statistics
• Predictive Modeling
• Machine Learning Algorithms
• Data Science Methodologies
• APIs
• SDKs
• Microservices
• MLOps
• Cloud-native architectures
• Distributed computing
• Responsible AI
• Data privacy
• Model governance
• Bias mitigation
• Model monitoring
• Generative AI
• Large Language Models (LLMs)
• AI frameworks
• Model lifecycle management
• Scalable AI/ML deployment patterns

Location

• Cary, NC

Work Type

• Onsite
• Hybrid

Experience Level

• 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering
• 5+ years of experience in the Insurance and/or Financial Services industry

Education Level

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.

Salary/Compensations

• 85786- 97273

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

About the Company

• Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
• It is a responsible and diverse group of 340,000 team members in more than 50 countries.
• With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
• It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
• Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.