Note: The job is a remote job and is open to candidates in USA. Alliant Insurance Services is one of the nation’s largest and fastest-growing insurance brokerage and consulting firms. The Lead Data Scientist will serve as the senior technical leader for data science and machine learning initiatives, providing architectural guidance and mentorship while leading complex AI and analytics programs.
Responsibilities
- Helps define and advance the organization's AI, machine learning, and data science strategy
- Identifies and champions innovative AI solutions that deliver measurable business value
- Provides technical leadership and mentorship to the Data Science team across multiple initiatives
- Establishes and promotes standards, methodologies, and best practices for the Data Science team
- Supports talent development and technical growth within the organization
- Leads architecture and technical design efforts for enterprise AI, machine learning, and analytics solutions
- Defines solution patterns, frameworks, and technical standards for scalable AI development
- Acts as the primary technical lead on complex and high-impact initiatives
- Leads the design and implementation of agentic AI systems, intelligent assistants, and workflow automation solutions
- Establishes best practices for orchestration, tool integration, and autonomous AI workflows
- Leads the development of advanced machine learning models, predictive analytics solutions, and AI applications
- Oversees technical quality, model performance, and delivery across major initiatives
- Drives the transition of AI solutions from experimentation to production deployment
- Partners with engineering teams to establish standards for MLOps, monitoring, scalability, and operational excellence
- Leads strategic analytics and automation initiatives that improve organizational effectiveness and decision-making
- Develops frameworks and reusable capabilities that accelerate delivery of AI and analytics solutions
- Ensures adherence to AI governance, security, compliance, and responsible AI standards
- Provides technical oversight for model validation, risk management, and solution review processes
- Partners with business and technology leaders to shape AI initiatives and solution priorities
- Communicates technical strategy, architectural decisions, and business impacts to executive and operational stakeholders
Skills
- Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience
- Master's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field
- Seven (7) or more years of experience in Data Science, Machine Learning, Artificial Intelligence, Analytics, or related disciplines
- Strong knowledge of machine learning, statistical modeling, predictive analytics, and AI solution architecture
- Advanced proficiency in Python, SQL, and modern AI/ML frameworks
- Strong problem solving and communication skills
- Proven ability in leading enterprise-scale AI and machine learning initiatives
- Ability to design and deploy production-grade AI solutions
- Ability to mentor technical teams and lead cross-functional initiatives
Benefits
- Comprehensive, high quality employee programs to meet employees' needs now and in the future
- Very competitive financial package
Company Overview
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