Senior Data Scientist - Predictive Analytics

Essential Job Functions and Responsibilities 

• Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities 

• Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention 

• Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine-tuning strategies, and novel generative AI applications 

• Designs and implements complex RAG and Agentic  systems with multi-modal capabilities and advanced reasoning 

• Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs 

• Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting-edge Vision AI technologies 

• Mentors junior data scientists and provides technical guidance on complex modeling projects 

• Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies 

• Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions 

• Designs and implements enterprise-level data pipelines and automated reporting tools 

• Establishes model governance frameworks and ensures compliance with regulatory requirements 

• Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations 

• Monitors and optimizes model performance across the enterprise and ensures data quality at scale 

• May have responsibility for performance coaching of staff and participatory role in talent selection and development 

• Drives AI strategy and roadmap development for the Predictive Analysis team 

• Performs other duties as assigned 

Job Requirements 

• Education:Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master’s or PhD in related field strongly preferred. 

• Experience: 5-6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members. 

Required Technical Skills: 

• Advanced Generative AI & LLM Leadership: • Expert-level knowledge of Large Language Models and generative AI architectures • Advanced experience with transformer models, attention mechanisms, and custom model development • Proven track record in BERT, GPT, and other foundation model implementations • Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods • Expert-level RAG system design and Agentic RAG implementation • Experience with multi-agent systems and AI orchestration frameworks 

• Advanced Vision AI & Computer Vision: • Expert proficiency in OpenCV and advanced computer vision techniques • Leadership experience with Vision Language Models and multi-modal AI systems • Advanced image processing, object detection, and video analysis • Integration of vision, language, and reasoning capabilities 

• Senior Technical Leadership: • Expert Python programming with deep knowledge of AI/ML ecosystems • Advanced experience with PyTorch, TensorFlow, and HuggingFace transformers • Database optimization and advanced SQL techniques • MLOps and model lifecycle management 

• Cloud & Enterprise Data Platforms: • Advanced Microsoft Azure architecture and AI services • Expert-level Snowflake implementation including: - Advanced Snowflake SQL and performance optimization - Snowflake Cortex AI/ML advanced features and custom implementations - Snowflake Intelligence advanced analytics and semantic search optimization - Snowflake data sharing and marketplace integration • Enterprise data pipeline architecture and governance 

• Leadership & Strategic Competencies: • Advanced statistical modeling and mathematical foundations • Enterprise model deployment and production optimization • Advanced data visualization and executive-level presentation skills • Deep understanding of insurance industry regulations and model governance • Proven leadership and mentoring abilities • Strategic thinking and AI roadmap development • Cross-functional collaboration and stakeholder management 

Scope of Job/Qualifications: 

Leads complex to large-scale AI/ML projects with enterprise impact. Proven expertise in optimizing advanced models and implementing cutting-edge machine learning solutions. Demonstrates deep understanding of the organization’s business and technology operations with ability to drive strategic AI initiatives. Shows comprehensive knowledge of industry trends, regulatory requirements, and emerging technologies in insurance and AI.