AI & Machine Learning Engineering Consultant - Power & Utilities Sector - Manager - Consulting
Compensation: 120.000 - 160.000
Location: Anywhere in Country
Overview
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
Our Artificial Intelligence and Data team helps apply cutting‑edge technology and techniques to bring solutions to our clients. You will sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. You will need a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Within Power & Utilities engagements, these solutions commonly support regulated environments such as electric, gas, and water utilities, addressing domains including grid and asset reliability, outage prediction and response, capital planning, customer operations, regulatory reporting, and operational efficiency across generation, transmission, distribution, and field operations.
Key Responsibilities
- Leading workstream delivery and ensuring effective management of processes and projects.
- Continuously improving processes by identifying innovative solutions through research and analysis.
- Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
- Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
- Identifying opportunities for additional services and managing engagement economics.
- Designing and delivering AI/ML use cases relevant to Power & Utilities, such as asset health and failure prediction, outage detection and restoration optimization, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimization, and regulatory analytics.
- Working with utility data sources including SCADA, AMI/AMI 2.0, GIS, EAM (e.g., Maximo), OMS, CIS, and historian systems, and integrating these into modern analytics platforms.
- Supporting utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.
Skills and Attributes for Success
- Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
- Strong judgment in selecting methods and techniques for obtaining results.
- Experience in managing client relationships and delivering high‑quality service.
- Ability to lead teams effectively and manage change within the organization.
- Ability to translate AI and analytics outputs into business‑relevant insights for utility executives, regulators, and operational leaders.
- Comfort operating in highly regulated environments with strong governance, documentation, explainability, and model risk management expectations.
To qualify for the role
- A Bachelor’s degree required (4‑year degree).
- 6‑10 years of full‑time experience in AI, Data Science, and/or Machine Learning.
- 2‑4 years of experience directly managing technical teams.
- Strong skills in Python.
- Ability to lead, collaborate, and communicate effectively with diverse, hybrid, and global teams.
- Experience designing, building, and maintaining high‑impact, high‑value production AI/ML solutions on a major cloud platform.
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation) and experienced with ML packages like scikit‑learn and PyTorch.
- Experience with natural language processing and deep learning.
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
- Experience with model retraining and feedback loop methodologies.
- Experience with model and solution monitoring and reporting.
- Understanding of data structures, data modelling, and software engineering best practices.
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
- Skills in Technical Design Optimization.
- Strong relationship‑building skills.
- Demonstrated client trust and value.
- Digital fluency and emotional agility.
- Commercial acumen and negotiation skills.
- Proven ability to lead teams and manage change.
- Experience delivering analytics or AI solutions in asset‑intensive environments (e.g., utilities, energy, infrastructure, manufacturing, or transportation) is strongly preferred.
- Familiarity with utility regulatory, compliance, or operational data considerations is a plus.
Ideally, you’ll also have
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches.
- Master’s degree in Computer Science, Mathematics, Physical Sciences, or another quantitative field.
- Experience working with diverse teams to deliver complex solutions.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine‑tuning Generative AI models.
- Experience managing complex projects with multiple stakeholders.
- Strong understanding of industry trends and emerging technologies.
- Skills in data visualization and storytelling with data.
- Experience with image processing techniques and/or speech and audio processing and analysis.
- Exposure to Power & Utilities transformation programs, such as grid modernization, advanced metering, wildfire mitigation, energy transition, DER integration, or digital operations initiatives.
- Experience supporting executive‑level decision‑making in regulated environments, including preparation of materials that may be reviewed by regulators or governing bodies.
What We Look For
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
In the Power & Utilities sector, we value leaders who can balance innovation with reliability, speed with safety, and advanced analytics with regulatory and operational realities, delivering AI solutions that utilities can trust, scale, and defend.
What We Offer You
- Comprehensive compensation and benefits package where you’re rewarded based on your performance and recognized for the value you bring. Base salary ranges apply by location (see full details in original posting).
- A flexible hybrid model: most client‑serving roles work onsite 40‑60% of the time over the course of an engagement, project, or year.
- Flexible vacation policy allowing you to decide how much leave you need based on personal circumstances, along with time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.
Equal Employment Opportunity
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or requesting an accommodation, please contact EY Talent Shared Services.
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