Data Scientist

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.   

Hartford Funds is seeking a thoughtful and versatile Data Scientist to join our growing Emerging Tech and AI team. This role combines core modeling and analytics expertise with a strong awareness of modern AI, automation, and workflow technologies. Ideal candidates are hands-on with data, comfortable with ambiguity, and motivated to create value through intelligent systems and automation.

• Develop and deploy statistical and machine learning models to solve a range of business problems, including forecasting, classification, segmentation, and causal inference.
• Collaborate across business and technology teams to scope projects, identify opportunities, and deliver actionable insights.
• Contribute to AI and automation-related initiatives, helping evaluate and implement GenAI and workflow solutions.
• Support scalable data solutions using modern cloud tools and APIs, and help maintain analytical and data science codebases.

Education

• Bachelor’s degree in Statistics, Computer Science, Mathematics, or a related discipline.
• Master’s degree in Statistics, Computer Science, Mathematics, or a related discipline.

Experience

• Minimum 4 years of hands-on experience in data science or a related field.
• Preferred 6+ years of hands-on experience in data science or a related field.

• Strong foundation in statistical modeling and machine learning, including regression, time series forecasting, tree-based algorithms, optimization, and causal analysis. You should be comfortable applying the right methods to the right problems.
• Strong Python and SQL. Familiarity with R is a plus, especially for supporting legacy code.
• Understanding of the Microsoft Copilot ecosystem; including Copilot Studio, Azure Foundry, and prompting best practices. Experience building or configuring Copilot agents is a huge plus.
• Experience working with Snowflake or a similar cloud data platform.
• Ability to work with APIs, write modular and reproducible code, and support basic data engineering tasks (e.g., pipeline design, version control).

• Familiarity with robotic process automation tools such as UiPath, Power Automate, or similar platforms.
• Awareness of workflow automation tools (e.g., n8n, Apache Airflow, etc) and how they integrate with predictive models or LLMs.
• Understanding of how automation, GenAI, and decision systems can be orchestrated to create agentic or semi-autonomous solutions.
• Exposure to MLOps or DevOps practices such as CI/CD pipelines, model versioning, or containerization.
• General understanding of Salesforce and its role in enterprise data ecosystems.

• Strong communication skills with the ability to translate technical work into clear, business-relevant insights.
• Ability to balance hands-on technical development with broader strategic thinking.
• Curiosity about emerging technologies and a pragmatic approach to applying them in real business contexts.

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:

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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