DCX Product Analytics Specialist

Marsh McLennan Inc. • New York, NY • 2h ago

We are seeking a talented individual to join our Analytics Solutions team at Marsh. This role will be based in New York City. This is a hybrid role that has a requirement of working at least three days a week in the office. DCX Product Analytics Specialist We will count on you to: Partner with brokers, client executives, and product teams to identify renewal pain points and translate them into clear analytics problems and success criteria. Prepare, clean, and feature-engineer data from multiple sources including policies, claims, quotes, broker notes, and third-party data. Build, evaluate, and validate predictive models that generate actionable insights to support broker renewal decisions. Proto@type broker-facing dashboards and reports that translate model outputs into clear, actionable guidance. Collaborate closely with engineering and MLops teams to operationalize models, define data contracts, and support deployment and testing. Document models, assumptions, data lineage, and conduct bias and fairness checks in line with governance requirements. What you need to have: Proficiency in Python (pandas, scikit-learn, xgboost/lightgbm) with experience in scripting and reproducible notebooks. Solid understanding of statistical modeling techniques including classification, regression, feature engineering, and model validation. Experience with BI and visualization tools such as Looker, Tableau, or Power BI to create proto@type dashboards and deliverable-ready visualizations. Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and ETL/transformation processes, including SQL and dbt. Exposure to MLOps concepts such as model packaging, CI/CD basics, and monitoring. Bachelor's degree in a quantitative or analytical discipline (Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience. 2-6 years of hands-on analytics or data science experience, including building and validating models. What makes you stand out: Master's degree in a quantitative field. Experience working in insurance, financial services, or with broker workflows. Demonstrated ability to translate technical results into actionable business insights and communicate effectively with diverse stakeholders. Product mindset with the ability to scope MVPs and prioritize features for adoption. Familiarity with Git and production model deployment environments. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit marsh.com, or follow us on LinkedIn and X. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh is committed to hybrid work, which includes the flexibility of working remotely and the col

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