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

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

Location: New York Other locations: Anywhere in Region Salary: Competitive

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The 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. 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.

Your 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 and 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 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.).

To qualify for the role, you must have 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. You must either reside in or be in a commutable distance to your office location for this position. The ability and 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. Ideally, you will have 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.

We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $130,000 to $185,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io.