
AI & Data Consultant, Utilities
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in Wisconsin.
• Assist in executing initiatives and programs related to Data Science, Artificial Intelligence, and Analytics.
• Work in collaboration with both onshore and offshore teams to carry out project objectives.
• Serve as a liaison between business and technical domains for both internal and external applications.
• Engage with stakeholders in business and analytics to comprehend their requirements and foster relationships.
• Contribute to the sales process by providing solutions for Data Science and Machine Learning opportunities.
• Create and tailor Data Science, Machine Learning, Artificial Intelligence, and Analytics models and solutions to address specific business challenges within various industries or functions.
• Collaborate with Accenture’s network and partner with strategy, consulting, and technology teams during sales and delivery processes.
• Identify AI use cases by aligning with organizational goals and needs, developing business cases, assessing ROI, and crafting transformation roadmaps.
• Guide organizations in the adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking outcomes, and effectively communicating realized value.
• A minimum of 3 years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• At least 3 years of experience in constructing decision-based frameworks and models to derive insights.
• A minimum of 1 year of experience working with utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory role.
• Bachelor's degree or equivalent (minimum of 12 years' work experience).
• If holding an Associate’s Degree, must possess a minimum of 6 years of equivalent work experience.
• Demonstrated success in developing and implementing data-driven solutions.
• Proficient in programming languages such as Python, R, or SQL.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong analytical and problem-solving capabilities.
• Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Understanding of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent program management and communication skills, both verbal and written.
• Proven experience in introducing innovative ideas to projects.
• Ability to travel up to 80%; travel as required based on client expectations.
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