Job Description

Data Scientist

Location: New York, NY

What can you expect?

As a Data Scientist, youll be a colleague who thrives in a fast-paced, high growth culture that values strategic communication, teamwork and results. Youll need to be self-motivated and detail oriented with a strong orientation to data analytics.

As an individual contributor in Data Science, you will work independently and with minimal supervision to implement and develop leading-edge techniques in predictive modeling, machine learning, artificial intelligence, natural language processing, etc. as applied in commercial insurance and risk management. This position consults with clients and colleagues on complex financial and statistical analyses, and develops the team's strategy to implement new, market-leading analytics-based tools.

You can look forward to:

* Global exposure and experience in a top notch Total Rewards environment that works closely with each of our Operating Companies (i.e. Mercer, Guy Carpenter, Oliver Wyman) within Marsh & McLennan Companies to leverage best practices.
* Opportunities for internal mobility both lateral and vertical
* Competitive pay (salary and bonus potential), full benefits package starting day one (medical, dental, vision, STI/LTI, life insurance, generous 401k match AND contribution.
* A company with a strong Brand and strong results to match.

Well count on you to:

* 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 within Marsh and MMC
* Coach team members on the delivery of analytics-based tools and analyze and presentation of findings

Youll need to have:

* Bachelors Degree in Math, Statistics, Data Science, Actuarial Science or related field; Masters preferred
* Expert statistical modeling knowledge, including familiarity with machine learning techniques
* Knowledge of modern programming languages such as Python

Wed love to see:

* Ability to face difficult and sometimes complex problems
* Knowledge of modern tools such as R, VBA, SQL may be helpful but not required
* Ability to influence others within and outside of the job function regarding approach and procedures
* Microsoft Office skills
* Superior detail orientation, excellent communication and interpersonal skills
* Ability to develop strong internal/external client oriented solutions

Marsh is the worlds leading insurance broker and risk adviser. With over 35,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh & McLennan Companies (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy and people. With annual revenue approaching US $17 billion and 76,000 colleagues worldwide, MMC helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. Follow Marsh on Twitter @MarshGlobal; LinkedIn; Facebook; and YouTube, or subscribe to BRINK.