EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Sr Associate/Consultant

EY-Parthenon; Chicago (IL); Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary ($130k-$185k)

Flexible vacation policy

Job summary

EY-Parthenon’s Growth Platforms Data Scientist Senior Associate/Consultant builds and scales multi-source data pipelines powering high-visibility client engagements. You will work on data preparation for AI/ML driven agents and dashboards, collaborating with business leaders and executives to address critical questions with data.

The role requires strong SQL/Python/Scala, cloud data infrastructure familiarity, and experience with orchestration tools like Airflow and dbt.

Qualifications

• Bachelor's degree and 2+ years of related work experience, or a graduate degree with ~18 months experience.
• Experience in data engineering or hybrid data science roles focusing on pipeline scalability and schema management.
• Familiarity with cloud-native data infrastructure (GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
• Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
• Experience merging third-party data (public APIs, vendor flat files, dashboards).
• Comfort mapping unstructured datasets into usable AI/BI models.
• Basic understanding of ML/feature pipelines and downstream modeling.
• Must be able to commute to the office location.
• Willingness to travel and work long hours when necessary.
• Preferred: startup or management/strategy consulting experience.
• Knowledge of AI tools in a business setting, including Microsoft Copilot.
• Collaborative, problem-solving, growth-oriented mindset.

Responsibilities

• Build and scale multi-source data pipelines powering client engagements.
• Participate in building, cleaning, transforming, and enriching data for AI/ML-driven agents and dashboards.
• Collaborate with business leaders and C-level executives to solve data-driven business questions.

Skills

ETL design

Data integration

Data normalization

Data provenance

Privacy & compliance

Collaboration with AI/ML teams

Education

Bachelor's degree or higher

Graduate degree

Tools

SQL

Python

Scala

Airflow

dbt

Snowflake

BigQuery

Databricks

Delta Lake

Job description

Location: New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle

Opportunity

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.

Key Responsibilities

The EY Growth Platforms Data Scientist Senior Associate/Consultant will play a critical role building and scaling our multi-source data pipelines— sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will participate in building, cleaning, transforming, and enriching data to power AI/ML-driven agents and dashboards, and 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.

Skills & Attributes For Success

• 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 basis 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.).

Qualifications

• 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 with 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.
• Must reside in or be in a commutable distance to the office location for this position.
• Willingness to travel and work in excess of standard hours when necessary; in certain circumstances, travel may be required beyond your work location based on client and project needs.

Preferred 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.
• Collaborative, problem‑solving, and growth‑oriented mindset.

What We Offer

• Compensation and benefits package with base salary range for US locations $130,000 to $185,000, plus medical & dental coverage, pension & 401(k), paid time off, etc.
• Hybrid work model with in‑person collaboration 40‑60% of the time.
• Flexible vacation policy and support for well‑being.

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. For assistance with application or accommodation, contact EY Talent Shared Services.