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AI & Data Decision Science Consultant - Utilities

Job in New York, New York County, New York, 10261, USA
Listing for: 1000 Accenture LLP Company
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 66300 - 205800 USD Yearly USD 66300.00 205800.00 YEAR
Job Description & How to Apply Below
We Are:

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, AI and data with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Consulting, Strategy, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.

We measure our success by the 360° value we create for our clients, each other, our shareholders, partners, and communities. Visit us at

You Are:

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI knowledge to design, develop and reinvent processes with AI to drive efficiency and growth. You will be responsible for leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems. This role requires a blend of strong analytical mindset, technical expertise, and the ability to communicate complex findings for both technical and non-technical stakeholders to deliver innovative solutions aligned with Accenture's commitment to driving 360° value for clients.

The

Work:
  • Assist in the delivery of Data Science, Artificial Intelligence, Analytics initiatives/programs
  • Collaborate with onshore and offshore teams to execute projects.
  • Understand and be able to bridge between business and technical domains (for both internal and external purpose)
  • Engage with business and analytics stakeholders to understand their needs and build relationships.
  • Support the sales process by contributing to sales solutioning for DS & ML related opportunities.
  • Develop and customize DS / ML / AI / Analytics models and solutions for specific business problems within an industry or function.
  • Collaborate across Accenture’s network and partner with strategy, consulting, and tech teams in the sales and delivery processes.
  • Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap.
  • Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value.
  • Ability to travel up to 80%; travel as needed based on client expectations.
Here’s What You Need:
  • Minimum of 3 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Minimum of 3 years of experience building decision-based frameworks and models to drive insights.
  • Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function.
  • Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience
Bonus points if:
  • You have a proven track record of developing and implementing data-driven solutions.
  • You have proficiency in programming languages such as Python, R, or SQL.
  • You have experience with…
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