About The Position
Using an understanding of the problem statement or business question in scope for the client engagement, design analytics models and review design with manager. Coordinate data needs for the analysis and develop detailed execution plan including but not limited to model build, validation and harnessing insights. Assign tasks and provide on-the-job coaching to junior team members. Perform first level of review of the models, results and insights. Summarize insights and results, and present to client stakeholders after manager/senior manager’s review. Track and report progress against plan, identify issues and risks, and mitigate them with or escalate them to project leadership. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
Requirements
- Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 2 years of related work experience, OR Master's degree in Mathematics, Information Systems, Statistics, Operations Research, Data Science, Analytics, Computer Science, Engineering, Machine Learning, or a related field and 1 year of related work experience.
- 1 year of experience in any combination of external advisory professional services, external consulting, or customer success.
- 1 year hands-on working experience with artificial intelligence, machine learning, data science, or data engineering.
- 1 year of experience working with Python.
- 1 year of combined experience using any combination of at least 2 of the following Generative AI models and frameworks: OpenAI family, Open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG), Other frontier model families (e.g. Anthropic).
- 1 year of combined experience using DevOps tools GIT and Azure DevOps as well as Agile tools to develop and deploy analytical solutions with multiple features, pipelines, and releases.
- 1 year of experience designing, building, and maintaining ML models, frameworks, and pipelines as well as designing and deploying end-to-end ML workflows on at least one major cloud computing platform.
- 1 year of experience with data manipulation tools and libraries SQL, Pandas, or Spark.
- 1 year of experience with containerization and scaling models as well as integrating models and feedback from downstream consumption systems.
Responsibilities
- Design analytics models based on client problem statements or business questions.
- Coordinate data needs for analysis and develop detailed execution plans.
- Assign tasks and provide coaching to junior team members.
- Perform first-level review of models, results, and insights.
- Summarize insights and results for client presentations.
- Track and report progress against plans, identify and mitigate issues and risks.
- Provide technical guidance and share knowledge with team members.
- Deliver quality client services on complex issues.
- Demonstrate technical capabilities and professional knowledge.
- Learn about EY's service lines and apply knowledge to client engagements.
Benefits
- Medical coverage
- Dental coverage
- Pension plans
- 401(k) plans
- Flexible vacation policy
- Paid time off for designated EY Paid Holidays
- Paid time off for Winter/Summer breaks
- Paid time off for Personal/Family Care
- Paid time off for other leaves of absence
- Continuous learning opportunities
- Tools and flexibility for meaningful impact
- Coaching and confidence building for leadership
- Diverse and inclusive culture
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What This Job Offers
Job Type
Full-time
Career Level
Senior
