EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director

About the role

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.

Responsibilities

• 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.).

Requirements

• A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
• Expertise 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.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Qualifications

• Experience working in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
• A collaborative, problem-solving, and growth-oriented mindset.

Benefits

To qualify for the role, you must have a bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.