Senior Data Science - FP&A- Senior - EY Global Delivery Services

EY; Tandil; On-site; ARS 139,474,000 - 201,463,000; Full time

Job summary

EY is seeking a Senior Data Scientist in Argentina to turn complex data into strategic business insights. You will leverage Databricks, Generative AI, and advanced analytics to build scalable solutions for finance and strategy, enabling self-service insights and automated processes.

You will collaborate with Finance, IT, and Data Science teams to translate business needs into practical data products, data pipelines, and dashboards that inform decisions and drive lasting value across the

Qualifications

• 3–5 years of experience in data science, data engineering, analytics, or a related role.
• Strong Python and SQL skills
• Experience with Databricks, PySpark, or Spark-based processing
• Experience building data pipelines and working with large datasets
• Strong analytical, problem-solving, and communication skills

Responsibilities

• Build and enhance Databricks-based AI and analytics solutions for Finance teams.
• Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.
• Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.
• Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.
• Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights.
• Contribute to high-impact initiatives that advance how data and AI are used across Finance.

Skills

Python

SQL

Databricks

PySpark

Data pipelines

Communication

Tools

Databricks

PySpark

Spark

Azure Data Factory

Power BI

Python

SQL

Job description

Job Description:

The Role

The organization is seeking a Senior Data Scientist who is energized by the opportunity to turn complex information into meaningful business outcomes. In this role, the successful candidate will leverage Databricks, Generative AI, and advanced analytics to build scalable solutions that drive smarter decisions, expand self-service insights, and automate critical finance processes. More than developing models, this individual will have the opportunity to shape how data influences strategy across the organization. They will work alongside talented colleagues who challenge one another to think differently, solve meaningful problems, and create lasting value. Their ideas can move from concept to impact, their expertise can help transform the business, and their work can play a direct role in defining the future of AI-powered connectivity.

The Main Responsibilities

• Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights.


• Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.


• Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.


• Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.


• Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights.


• Contribute to high-impact initiatives that advance how data and AI are used across Finance.

What We Look For in a Candidate

• 3–5 years of experience in data science, data engineering, analytics, or a related role


• Strong Python and SQL skills


• Experience with Databricks, PySpark, or Spark-based processing


• Experience building data pipelines and working with large, complex datasets


• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Experience with forecasting, predictive modeling, statistical analysis, or machine learning techniques


• Experience with Generative AI or LLM-based applications


• Experience with Power BI or similar visualization tools


• Exposure to financial data, FP&A, or enterprise reporting