S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Sr. Data Scientist, AI Delivery/Deployment
XX
Sr Applied AI Data ScientistThe Hartford • United States
Postuler Maintenant
XX

Sr Applied AI Data Scientist

The Hartford
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

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 Small Business Applied AI team sits at the intersection of advanced analytics, AI innovation, and business strategy - delivering scalable, high impact solutions that enhance underwriting, product, and distribution in a dynamic competitive environment. We design and deploy cutting edge AI and ML solutions that drive smarter decisions, operational efficiency, and competitive advantage at scale.
Core Technical Capabilities
Develop AI solutions:
Create ML and generative AI systems for RAG pipelines, chatbots, classification, forecasting, and recommendation. Ensure alignment with enterprise standards, seamless integration, and secure scalability. End - to - End Solution Development:
Own the AI lifecycle from problem framing through deployment: data prep, modeling, evaluation, model change management, orchestration, observability, drift detection, and synthetic data generation. 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 Agent design:
Experience with system prompts, one-shot, few-shot, and ability to automate or optimize prompts using LLM as a prompt enhancer. Ability to design and orchestrate multi-agent pipelines such as sequential with well-orchestrated callbacks for deterministic AI agent, 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. Required Skills
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.
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:
$110,720 - $166,080
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.

10'000+ offres d'emploi : Trouvez des postes près de chez vous, sur site, hybrides ou à distance