Senior Artificial Intelligence Data Scientist – Technology Consulting
Location: New York, NY – Employer: Ernst & Young U.S. LLP.
Role Summary
Lead the design and execution of advanced analytics solutions for EY clients, leveraging artificial intelligence, machine learning and data engineering to deliver actionable insights.
Responsibilities
- Design analytics models and review design with management.
- Coordinate data needs and develop detailed execution plans, including model build and validation.
- Assign tasks and coach junior team members.
- Perform first‑level review of models, results and insights.
- Summarize insights and present to client stakeholders after manager/senior manager review.
- Track progress, identify issues and risks, and mitigate or escalated to project leadership.
- Provide technical guidance and share knowledge with team members.
- Consistently deliver high‑quality client services on complex, judgmental and specialised issues.
- Demonstrate technical capabilities and professional knowledge.
- Learn about EY services and actively assess ways to apply knowledge to client engagements.
Employment Details
Full‑time; Monday – Friday, 8:30 am – 5:30 pm; 40 hours per week.
Minimum Requirements
- Education: Bachelor’s degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning or related field with 2 years of related work experience; OR Master’s degree in a related field with 1 year of related work experience.
- Professional experience: 1 year in external advisory, external consulting or customer success.
- Hands‑on experience (minimum 1 year) in AI, machine learning, data science or data engineering.
- 1 year experience working with Python.
- 1 year combined experience using at least two of the following generative AI models/frameworks (e.g., OpenAI family, Open‑source LLMs, DALL‑E, LlamaIndex, LangChain, Retrieval Augmented Generation, Anthropic family).
- 1 year experience using DevOps tools (GIT, Azure DevOps) and Agile tools to develop and deploy analytical solutions.
- 1 year experience designing, building and maintaining machine‑learning models, frameworks, and pipelines; deploying end‑to‑end ML workflows on at least one major cloud platform.
- 1 year experience with data manipulation tools/libraries: SQL, Pandas or Spark.
- 1 year experience with containerization and scaling models, and integrating models and feedback into downstream systems.
- Requires travel up to 80 % of the time, including up to 10 % international.
- Employer will accept any suitable combination of education, training or experience.
Benefits
- Base salary: $139,506 per year.
- Comprehensive health, dental and pension/401(k) plans.
- Paid time off, including FYHE, Winter/Summer breaks, personal/family care and leave of absence.
- Hybrid working model; majority of time expected to work in person 40‑60 % of the engagement.
- Continuous learning opportunities.
Equal Opportunity
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
Compliance
This position requires the qualified candidate to be a “United States worker” as defined by the U.S. Department of Labor regulations at 20 CFR 656.3.
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