Locations ----------
Posting Location: New York New York City, Cities, New York, Country: United States Working Schedule: Full-Time Work Arrangement: Hybrid Travel Required: 10 Relocation Assistance Available: No Posted Date: 05-Feb-2026 Job ID: 15247
Description and Requirements -----------------------------
The Team You Will Join ------------------------
The Pet Insurance Data & Analytics team sits within MetLifes Pet Insurance organization and partners closely with Claims Operations, Product, and Technology to drive measurable business outcomes through data analytics and AI. We are responsible for building trusted reporting and ground truth" measurement, developing production-grade models, and automation, and continuously improving decision quality and operational efficiency. A major focus of the team is modernizing the claims adjudication lifecycle-using structured and unstructured data, advanced ML, and Generative AI to reduce cycle time, increase accuracy, and improve customer and clinician experience. Our work is highly applied, end-to-end, and directly connected to how MetLife serves customers every day.
The Opportunity ----------------
The Data Scientist, Pet Insurance AI Automation, is responsible for designing, building, validating, and deploying production-grade rule-based and machine learning solutions that automate and augment claims adjudication. This role is needed to accelerate MetLifes Pet Insurances automation roadmap by improving decisioning quality, throughput, and consistency across the claims lifecycle. This is an exciting opportunity to build real-world AI systems that combine ML, LLMs, and data engineering best practices and to ship solutions that deliver immediate operational impact.
Success in this role requires strong execution, analytical problem-solving, and an engineering-minded approach to delivering production-ready AI. The Data Scientist, Pet Insurance AI Automation is responsible for owning key automation capabilities end-to-end and partnering closely with Claims Operations and Technology stakeholders to translate complex problems into scalable solutions. Youll collaborate closely with product owners, claims leaders, engineers, data governance partners, and analytics peers in an environment where every contribution is respected and every perspective is heard.
How Youll Help Us Build a Confident Future ---------------------------------------------
Key Responsibilities ----------------------
• Lead the end-to-end development of AI-driven claims automation capabilities from problem framing and experimentation through production deployment and monitoring. • Create scalable pipelines and evaluation frameworks for ground truth" generation, reporting, and continuous model measurement accuracy, stability, and business impact. • Oversee model validation, performance monitoring, and iterative improvements, ensuring solutions remain accurate, reliable, and aligned with operational needs. • Manage the full ML lifecycle for structured and unstructured data use cases, including feature engineering, training, testing, deployment, and ongoing optimization. • Develop LLM-enabled capabilities, prompt engineering, fine-tuning, where appropriate, and robust evaluation to support document understanding, decision support, and workflow automation. • Coordinate cross-functional delivery with Claims Operations, Technology, and D&A partners, Data Governance, Data Quality, Data Architecture, DevOps, BI, and Insights to ensure compliance, security, and production-ready outcomes.
Required Skills ----------------
• 5 - 8 years of relevant experience. • Bachelors degree in computer science, Information Technology, Engineering, or equivalent practical experience with a track record of delivering production-grade analytics and ML solutions. • Python proficiency. • Advanced SQL expertise to generate trusted reporting, ground truth datasets, perform deep analysis, and validate model outcomes. • Experience with Generative AI, LLMs, including prompt engineering and familiarity with fine-tuning and evaluation approaches. • Cloud and MLOps experience on Azure, AWS, GCP, especially CICD pipelines and operational observability, e.g., Log Analytics, with a strong production mindset. • Strong analytical and structured problem-solving skills with the ability to independently solve, troubleshoot, and drive to outcomes. • Clear communication and stakeholder partnership skills, able to translate between technical details and business impact with confidence.
Preferred Skills ----------------
• Machine learning development experience across the lifecycle, EDA, feature engineering, modeling, evaluation, monitoring, using common frameworks, e.g., scikit-learn, TensorFlow, or PyTorch, as applicable. • ML Ops experience, model registry, deployment patterns, monitoring, alerting, retraining strategies, governance workflows, in Azure or comparable cloud services. • Ability to work effectively in large codebases to build, test, and deploy ML, AI solutions. • Experience with OCR and document understanding tools and/or NLP libraries, e.g., spaCy, Transformers, applied to real-world text extraction and classification. • Power BI and/or data engineering knowledge to support scalable reporting, metric design, and operational dashboards. • Mentorship and technical leadership experience, particularly relevant for Grade 11, including leading solution design, estimations, and guiding other data scientists. • Insurance, financial services, or regulated-domain experience, including comfort operating within quality, security, compliance, explainability, and responsible AI guidelines.
Location Expectation ---------------------
This is a hybrid role requiring a minimum of 3 days per week in office.
Expected Salary Range ----------------------
The expected salary range for this position is $103,300 - $154,975. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.
Benefits ---------
We Offer ----------
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical, prescription drug, and vision dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife, and 401k with employer matching, group discounts on voluntary insurance products, including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program, EAP, and digital mental health programs, parental leave, volunteer time off, tuition assistance, and much more.
About MetLife --------------
Recognized on Fortune magazines list of the Worlds Most Admired Companies, Fortune Worlds 25 Best Workplaces, and the Fortune 100 Best Companies to Work For, MetLife through its subsidiaries and affiliates is one of the worlds leading financial services companies providing insurance, annuities, employee benefits, and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we are inspired to transform the next century in financial services. At MetLife, its All Together Possible. Join us.
MetLife is an Equal Opportunity Employer. All employment decisions are made without regard to race, color, national origin, religion, creed, sex, including pregnancy, childbirth, or related medical conditions, sexual orientation, gender identity or expression, age, disability, marital or domestic civil partnership status, genetic information, citizenship status, although applicants and employees must be legally authorized to work in the United States, uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law protected characteristics.
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.