Job Description

Marsh is looking to hire for a Machine Learning Software Engineer with at lest 3+ years of working experience in our New York City office.

What can you expect?

This position is for a Data Science/ML Engineer to bring best in class model development and deployment capabilities to the build-out of machine learning, predictive modeling, artificial intelligence, and natural language processing models in the commercial insurance and risk management space as a part of our Data Science organization This position consults with colleagues throughout the organization on design and deployment of complex financial and statistical analyses via our market-leading analytics platforms. In addition, this position will serve as SME and technical liaison in software engineering matters for our team of Data Scientists.

Whats in it for you?

* 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 pipelines for deploying ML/AI models that provide new, market-leading analytics for our clients to understand and address risk
* Understand business problems and be able to translate them into technical solutions. Facilitate design and build of approaches that makes use of our suite of ML/AI tools, unlocking insight for clients and colleagues in a coherent and compelling manner.
* Stay current with new tools and approaches in the space, bringing them to the wider team as relevant.
* Evangelize clean, well-documented code within the team
* Serve as an internal expert resource and champion for architecture and deployment of data science models within Marsh and MMC
* Coach team members on tools and techniques in the delivery of ML/AI models and analytics-based tools and analyses.

Youll need to have:

* A Bachelors Degree in Computer Science, Software Engineering, or related field
* 3-5 years of experience in software engineering or ML engineering
* Expert software engineering knowledge, including familiarity with development of REST APIs, working with 3rd party APIs, and deployment processes
* Experience with Model Productionalization / ML Ops - CI/CD, Monitoring, Drift Detection techniques
* Experience with C/C++, Python, Java, JavaScript, and SQL
* Knowledge of tools such as Git/Bitbucket, Notebooks, and Amazon Sagemaker

What will make you stand out?

* Ability to work with and influence a variety of technical stakeholders, including Data Scientists, Actuaries, and DevOps engineers both within and outside the job function
* Superior detail orientation, excellent communication and interpersonal skills
* Familiarity with Hadoop and Cloud technologies
* Hands-on experience with a deep neural network architecture (CNN, RNN, Deep Reinforcement Learning, GAN etc.) and experience with deep learning frameworks such TensorFlow or Pytorch

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.