Machine Learning Engineer – Marsh and McLennan

Job Description

Machine Learning Engineer

Location: New York, NY

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.

What’s 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.

We’ll 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.
• Communicate insights from ML/AI models to clients both externally and internally
• 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.

You’ll need to have:
• A Bachelor’s Degree in Math, Statistics, Actuarial Science, Computer Science, or related field
• 7-10 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
• Ability to influence others within and outside of the job function regarding approach and procedures
• Ability to develop strong internal/external client oriented solutions
• 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
• Experience working with a wide variety of data sets, including identifying alternative sources of data
• 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 world’s 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.

Marsh & McLennan Companies and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $121,140 to $263,600.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. 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.