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About the Role

Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems. 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.

Responsibilities

Leading workstream delivery and ensuring the 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.

Requirements

A Bachelor’s degree required (4-year degree).
6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
2-4 years of experience directly managing technical teams
Strong skills in Python
Ability 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 (RAG)) 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.
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
Master's degree Computer Science, Mathematics, Physical Sciences, or other 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 in managing complex projects with multiple stakeholders
A 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.

Skills

AI
Data Science
Machine Learning
Python
Generative AI models and frameworks
OpenAI
Dall-e
Langchain
Retrieval Augmented Generation (RAG)
scikit-learn
PyTorch
Natural language processing
Deep learning
DevOps tools
GIT
Azure DevOps
Agile methodologies
Jira
CI/CD pipelines
MLOps
ML workflows
Data ingestion
Data transformation
Data evaluation
Model retraining
Feedback loop methodologies
Model monitoring
Solution monitoring
Reporting
Data structures
Data modelling
Software engineering best practices
Mathematics
Statistics
Operations research
SQL
Pandas
Spark
Technical Design Optimization
Relationship-building
Digital fluency
Emotional agility
Commercial acumen
Negotiation
Team leadership
Change management
Analytics
AI solutions in asset-intensive environments
Utilities
Energy
Infrastructure
Manufacturing
Transportation
Utility regulatory data
Utility compliance data
Utility operational data
R
JavaScript
Java
C++
C
Fine-tuning Generative AI models
Complex project management
Stakeholder management
Industry trends
Emerging technologies
Data visualization
Storytelling with data
Image processing techniques
Speech and audio processing and analysis
Power & Utilities transformation programs
Grid modernization
Advanced metering
Wildfire mitigation
Energy transition
DER integration
Digital operations initiatives
Executive-level decision-making
Regulated environments

Location

Anywhere in Country

Work Type

Hybrid

Experience Level

Manager
6-10 years of relevant experience
2-4 years of experience directly managing technical teams

Education Level

Bachelor’s degree
Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

Salary/Compensations

Base salary range for this job in all geographic locations in the US is $125,500 to $230,200.
Base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600.

Benefits

Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal 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 including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.