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The Hartford Financial Services Group, Inc.

Principal Data Scientist

Posted 2 Days Ago
Remote
6 Locations
Senior level
Remote
6 Locations
Senior level
The Principal Data Scientist will lead AI initiatives, build advanced machine learning models, and develop solutions to optimize business processes for insurance. Responsibilities include project management, collaboration with cross-functional teams, driving innovation in AI, and mentoring team members. Requires expertise in AI technologies, data engineering, and strategic alignment with business goals.
The summary above was generated by AI

Dir & Data Scientist - GD06BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.   

         

Are you ready to disrupt the future of insurance with the power of Artificial Intelligence and Generative AI? The candidate will join and help build a practice on par with leading AI research laboratories that focuses on practical AI use cases for The Hartford. We are looking for visionary technical leaders who can effectively nurture, challenge and inspire our teams, push boundaries enterprise-wide, and revolutionize how we underwrite, assess risk, process claims, and create standout customer experiences in the fast-changing world of AI! 
 

This role requires an innovative, execution-focused Data Science leader with a deep scientific and implementation-focused understanding of the latest AI technologies, use cases, data engineering practices, and the ability to work with cross-functional teams across an enterprise. In this pivotal role, you will support the establishment of a world-class, leading-edge AI applied research team that leads in AI innovation and supports scaling and productization of the solutions with built in scalability, security, and self-service features.

The ideal candidate will have a deep AI research background and a proven track record integrating the latest AI capabilities and deliver solutions related to real-time data streaming, complex agentic frameworks, Data APIs, and graph knowledge bases, etc.

This role can have a Hybrid or Remote work arrangement.  Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).  Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship.

Responsibilities:

  • Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
  • Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
  • Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
  • A leader with strong architecture skills – who can conceptualize what needs to be built and then drive/contribute to the actual build.
  • Lead end-to-end AI projects from problem formulation to model deployment, integrated into a broader portfolio of advanced analytics.
  • Drive the development of state-of-the-art AI/ML models with a focus on, AI, GenAI, Agent architecture-based chat solutions, Automated scenario simulation and model optimization.
  • Develop LLM models and data-driven solutions to optimize business processes, improve process transparency and drive data-driven decision making.
  • Design and conduct experiments, tests, and causal inference analysis to evaluate the effectiveness of interventions and initiatives.
  • Champion the integration of AI solutions within The Hartford’s AI platform to maximize reuse, scalability, and governance.
  • Closely work with cross-functional teams to define, prioritize, and implement features, infrastructure, processes, and workflows.
  • Stay up to date with the latest developments in AI, Large Language Models, Machine Learning, and related fields. Evaluate emerging technologies for potential adoption.
  • Support development of a high-performing enterprise AI team, fostering individual growth and technical excellence. Provide strategic AI leadership, influence stakeholders across the organization, and drive transformative AI initiatives that enhance decision-making, automation, and business impact.
  • Provide training and mentoring to team members on AI & GenAI technologies, agentic workflows, and implementation strategies. Share knowledge and best practices to foster a culture of innovation and continuous improvement.

Qualifications:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field is preferred with 4+ years of professional experience in AI with strong foundation in Machine Learning. Masters or Bachelors in Computer Science or related areas with 12+ years of industry experience would also be considered. 
  • Ability to execute on a vision for AI initiatives and align them with business objectives. Strong understanding of AI trends and how to position AI as a strategic asset within the organization.
  • Experience in Data Science, Agent architecture (CrewAI, Semantic Kernel, Autogen, Prompt Flow), Large Language Models (Commercial and Open Source), LangChain, Retrieval Augmented Generation, Vector Databases, and Machine Learning models.
  • Proficiency in one or more general purpose programming languages like Python, Java and Machine learning libraries, e.g., PyTorch and scikit-learn.
  • Experience with both NoSQL and SQL database for data manipulation and querying.
  • Sound Knowledge of Docker, Kubernetes, Cloud based ML/LLMOps tools like SageMaker / ML Studio / Vertex AI. Experience with GCP, Cloud AI, Vertex AI, and Big Query strongly preferred.
  • Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
  • Experience creating production environment data analytics and applications.
  • Insurance industry experience would be a plus.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$138,000 - $207,000

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Top Skills

Big Query
Cloud Ai
Docker
GCP
Java
Kubernetes
Machine Learning
Ml Studio
NoSQL
Python
PyTorch
Sagemaker
Scikit-Learn
SQL
Vertex Ai

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