Government and Public Sector - AI and Data - Machine Learning Engineer - Senior Consultant

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.  

Government and Public Sector – AI & Data – Machine Learning Engineer – Senior Consultant

 

From strategy to execution, the Government and Public Sector practice of Ernst & Young LLP provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.

 

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.

 

The opportunity

 

You will help our clients navigate the complex world of modern data engineering and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

 

Our Machine Learning Engineer must be able to dig into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems. This role will require a very methodical mindset combined with a keen set of skills in mathematics, statistics, algorithms, machine learning, and technology. In addition to being technically sound, this role also requires the knack for quickly gaining functional understanding of client data and client context to drive impactful analyses.

 

Analyses will need to be well documented and presented- ability to present findings to clients and simply explain complex analyses is essential. Industrialization of findings will also be important. This role will need to steward one-off analyses into recurring metrics and/or published data visualizations. You will work within a larger analytics team and needs to have a cursory understanding of data engineering, visualization design & development, and cloud infrastructure.

 

Your key responsibilities

 

You’ll spend most of your time working with client(s) to deliver the latest data focused technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich, and analyze data from multiple sources.

 

Also included:

 

• Applying data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of data
• Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
• Unifying, enriching, and analyzing client data to derive new insights and opportunities

 

Skills and attributes for success

 

• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
• Deep understanding of and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them
• Drive to seek out information to learn about emerging methodologies and