Senior Data Scientist + GenAI Experience

Mandatory: Data Science, GenAI with Banking, or Insurance domain Experience

Job Description:

• We’re looking for a highly skilled Senior Data Scientist with technical expertise and GenAI knowledge for our Auto Consumer Strategy & Analytics group.
• This candidate will be responsible for supporting initiatives across machine learning and AI model development, model governance, and emerging generative AI innovations.
• This candidate will also partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML/AI solutions and tools, and ensure responsible, effective deployment of AI solutions. Successful candidates should have hands-on experience with data and modeling, while demonstrating strong communication skills and the ability to influence a complex organization.
• The Work Itself In this role, you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation.
• You will design and implement advanced models utilizing experimentation, multi- modal data, and the latest AI techniques to solve complex problems and unlock new opportunities.
• As a technical expert and innovator, you will collaborate closely with cross- functional teams to ensure our ML/AI systems are robust, responsible, and deliver measurable impact.
• You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence.

Key Responsibilities

• Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance
• Leverage novel approaches to continuously improve model performance and business outcomes
• Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment
• Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems
• Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Ally Proprietary Ally Proprietary
• Bachelor’s degree in quantitative /Technical Discipline (Mathematics, ComputeScience, Data Science/Analytics, Economics)
• Minimum 3 years of data science / quantitative modeling work experience, with hands on experience working with large datasets (including text)
• Practical experience with deploying LLMs highly preferred
• Deep expertise in statistics and exploratory data analysis (EDA), paired with the ability to establish trustworthy benchmarks and operational performance monitoring for deployed models
• Strong knowledge in programming languages of Python, SQL or R
• Solid written and verbal communication skills, including the ability to effectively present data analytics results to internal and external stakeholders
• Highly self-motivated and adaptable, with a proven ability to deliver high-quality results in a fast-paced, rapidly evolving environment Preferred Qualifications
• Proven experience designing and implementing predictive models, Generative AI, and agentic systems, with a track record of developing novel AI approaches to boost model performance
• Strong foundational knowledge of responsible AI practices, including the integration of data governance, ethical AI considerations, and security protocols throughout the model-development lifecycles
• Experience with GitHub and repositories
• Master’s degree or higher in a quantitative field

Roles & Responsibilities

• Develop/Implement/Test AI solutions for the Consumer Auto organization, including supporting vendor-developed Agentic AI models and its governance
• Leverage novel approaches to continuously improve model performance and business outcomes
• Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment
• Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems
• Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage