> Markdown version of [/jobs/ext/231130-sr-applied-ai-data-scientist](https://www.wearedevelopers.com/jobs/ext/231130-sr-applied-ai-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Applied AI Data Scientist - **Company:** The Hartford - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $110,720.0 - $166,080.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Encodings, Python (Programming Language), Machine Learning, Language Modeling, NumPy, Object-Oriented Software Development, Tensorflow, Sentiment Analysis, SQL Databases, Google Cloud, Pytorch, Large Language Models, Snowflake, Prompt Engineering, Deep Learning, Generative AI, Jupyter, Git, Pandas, Scikit Learn, Information Technology - **Published:** May 20, 2026 - **Apply:** https://dejobs.org/x/x/EFD0EEF9123044FC8CBB855915CD0FA9/job/ ## About the Role * Proficiency in Python and SQL (ideally Snowflake); experience with pandas, numpy, scikit-learn. * Strong foundation in ML, deep learning, NLP; familiarity with PyTorch/TensorFlow and generative AI. * Experience with cloud tools (Google Vertex AI, AWS SageMaker/Bedrock). * Ability to build reproducible workflows using Jupyter and GIT. * Competence in end-to-end modeling: requirements, experiment design, evaluation, production monitoring. * Experience tracking forecasting metrics (MAPE/WAPE) and LLM evaluation. * Understanding agentic AI pipelines and prompt engineering for language models. * Ability to frame business problems with hypothesis-driven approaches and experimentation. * Excellent communicator-able to translate analytics into clear business narratives for stakeholders. Good to Have Skills * Object oriented programming and Google ADK. * Knowledge of embeddings and similarity (e.g., cosine-similarity). * Google Cloud Platform literacy. * Advanced PyTorch/TensorFlow skills. * NLP & Generative AI: hybrid+dense retrieval, chunking, structured outputs. * Customer sentiment modeling from diverse sources. * Innovation & continuous learning-driving enterprise capabilities with emerging AI techniques. Education & Experience * 6+ years with Bachelor's degree; less for Master's/Ph.D. * Master's or Ph.D. preferred in Machine Learning, Applied Math, Data Science, Computer Science, or related fields. 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. ## Description * End - to - End Solution Development: Own the AI lifecycle from problem framing through deployment: data prep, modeling, evaluation,model changemanagement,orchestration, observability, drift detection, and synthetic datageneration. * Collaborate closely with AI engineers, data engineers, platform, security, and IT to ensure solutions are robust, maintainable, production ready,follow safety filters/guardrails, and rollback plans. * Prompt and AI A gent desig n: Experience withsystem prompts,one-shot,few-shot,and ability to automate or optimize prompts using LLM as a prompt enhancer. Ability to design and orchestratemulti-agent pipelinessuch as sequential withwell-orchestratedcallbacks for deterministicAIagent, tool, or LLM behavior. * Project management for AI delivery: Drive execution from discovery to rollout by defining scope, milestones, and acceptance criteria; managing dependencies/risks; coordinating cross-functional workstreams; and maintaining clear status reporting, issue escalation, and delivery timelines. Stakeholder Collaboration , Domain Knowledge & Influence * Partners closely with Product, Underwriting, Distribution, Risk, Legal, and Compliance to align AI initiatives with enterprise objectives and governance expectations. * Translates complex model behavior and evaluation outcomes into clear, actionable business insights with defined success criteria (accuracy, cost, performance, reuse, ROI). * Develops deep understanding of insurance business processes, data, and regulatory constraints , embedding domain taxonomies, access controls, and security into solution design. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)