AI Data Scientist

The Hartford • Columbus, OH

21h • Hybrid

About The Position

Step into the future with The Hartford as an AI Data Scientist, where AI isn't just a buzzword—it's central to our strategy. Join a team that's pioneering AI-driven solutions in corporate functions, transforming how we operate and make decisions. As part of our AI corporate function team, you'll tackle advanced use cases and shape the development of AI capabilities across the corporate functions. Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you. We are looking for candidates with strong fundamental skills, who are passionate about keeping up with the quick evolution of AI technologies. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations(Hartford, CT, Charlotte, NC, Columbus, OH, Chicago, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday).

Requirements

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field.
• 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.
• Proven experience in statistical modeling and building machine learning algorithms in Python
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, etc.
• Strong analytical, problem solving and debugging skills.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
• Candidate must be authorized to work in the US without company sponsorship.

Nice To Haves

• Professional experience with Gen AI using LLMs
• Experience working in Agile
• Experience with cloud architecture
• Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.
• Experience with cloud platforms such as GCP, AWS, Azure, etc.

Responsibilities

• Deep understanding of the fundamentals of ML, AI, and Gen AI: Our AI systems combine predictive models, rule-based decisions, and interactions with LLMs. Your grasp of theoretical underpinnings and practical implications will help you match solutions to problems and handle non-standard implementations.
• Software development: We deploy AI systems in production, so you need to write production-grade code in Python. This includes object-oriented programming, unit testing, version control using Git, and familiarity with (or curiosity about) design patterns and best practices in software architecture.
• Problem solving: We develop first-time solutions to unique challenges, requiring strong analytic skills, resourcefulness, experience in crafting AI solutions, and judgment about the feasibility of different approaches.
• Experimentation: We guide the development of AI solutions by evidence and measure performance of specific steps and end-to-end solutions. You will need to design pragmatic experiments with solid methodology and meaningful metrics.
• Data processing and analysis: While our focus is on unstructured data with AI, we still regularly handle tabular datasets, requiring mastery of the traditional data science toolkit (e.g., pandas, SQL, Excel, matplotlib).
• Communication and collaboration: We partner on projects with other teams and serve as an AI expertise source across the enterprise. A collaborative approach and effective communication are key to your success.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level