EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Sr Associate/Consultant
About The Position
EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientists collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Requirements
- Outstanding academic performance, with a bachelor's degree and at least 2 years of related work experience; or a graduate degree and approximately 18 months of related work experience.
- Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
- Familiarity in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
- Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
- Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards).
- Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
- Basic understanding of ML/feature pipelines and downstream modeling needs.
- The ability and willingness to travel and work in excess of standard hours when necessary.
Nice To Haves
- Experience working in a startup and/or management/strategy consulting.
- Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
- Collaborative, problem-solving, and growth-oriented mindset.
Responsibilities
- Play a critical role building and scaling our multi-source data pipelines— sourcing, merging, and transforming data assets that power high-visibility client engagements.
- Participate in building, cleaning, transforming, and enriching data to power AI/ML-driven agents and dashboards.
- Collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data.
- Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files).
- Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
- Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
- Build data access layers optimized for ML (feature stores, event streams, vector stores).
- Define and enforce standards for data provenance, quality checks, logging, and version control.
- Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.).
Benefits
- medical and dental coverage
- pension and 401(k) plans
- a wide range of paid time off options
- flexible vacation policy
- designated EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care
- other leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
