Data Scientist - GD08AE

Sr Data Scientist - GD07AE

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.

The Hartford seeks a Data Scientist within the Small Commercial Data Science (SCDS) team to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. SCDS supports the profitable growth of the Small Commercial business organization through various work streams including product, underwriting, sales, distribution, among others.

As a Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest cloud technologies, machine learning methods, MLOps, GenAI and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.

• Create statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems.
• Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations.
• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage.
• Participate in the creation and deployment of long-term tools to continually evolve the business.
• Contribute to the successful implementation of strategies to achieve targeted business objectives.
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise.
• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function.
• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions.
• Utilize GenAI to build agents that streamline work processes and improve efficiency.

• 2+ years of relevant experience.
• Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a related analytical field, or progress towards a relevant professional designation.
• Proficient in statistical modeling, inference, and developing machine learning algorithms using Python.
• Experience with SQL and database navigation (e.g., Oracle, Snowflake) for data extraction.
• Familiarity with the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation.
• Exposure to cloud-native modeling solutions (e.g., SageMaker) is a plus.
• Strong communication skills for engaging with both technical and non-technical teams.
• Ability to translate complex technical concepts into actionable business strategies.
• GenAI skills (e.g., experience with generative models, prompt engineering, model fine-tuning, NLP, or AI ethics) are a strong plus.
• Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.