TITLE: Data ScientistEMPLOYER: Marsh USA LLCLOCATION: New York, NY (Hybrid (in-office and remote) work may be permitted within a commutable distance from the work site, in accordance with company policy.)DUTIES: Develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management. Consult with clients and colleagues on complex financial and statistical analyses, and develop approaches for new, market-leading analytics-based tools. Develop modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk. Understand business problems to create an approach that starts with determining structured and unstructured data needs and availability. Build Machine Learning models and finalize with results that unlock insight for clients and colleagues. Demonstrate skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization. Stay current with ongoing research in the field and bring new approaches to the team. Serve as an internal expert resource and champion for data science. Coach team members on the delivery of analytics-based tools and analyses and presentation of findings.REQTS: Must have a Master’s degree or foreign equivalent in Analytics, Mathematics, Statistics, Data Science, or a related field plus two (2) years of progressively responsible experience in the position offered, as a Data Analyst, or a related position. Employer will accept pre- or post-Master’s experience. Must have two (2) years of experience with all of the following: Predictive modeling using advanced approaches including multiple linear regression, random forest, or neural nets in Python; Cleaning, preparing, and manipulating data for statistical analysis using Python Numpy and Pandas packages; Building models using either PyTorch or TensorFlow Deep Learning frameworks; Connecting to large databases writing SQL queries executed via front-end connections in Excel VBA or Python; Data Visualization and communication to business stakeholders using Power BI, Tableau, or Qlik; Analyzing, quantifying, and communicating financial risk in a corporate setting.SALARY: The applicable base salary range for this role is $108,306 to $162,500 per year.The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.HOURS: 40 hours per week, Monday-Friday, 9:00 AM - 5:00 PMAPPLY: https://careers.marshmclennan.com using Keyword R_257347. EOE

　　Minimum Salary: 108306Maximum Salary: 162500Salary Unit: Yearly