Data Scientist

Data Consultant - 87IB5E

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.

Key Responsibilities

• 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.

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

• 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.