Senior Data Scientist, AI Lab – Predictive & Generative AI

EY; Dublin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Pension

Discounted health insurance

Web Doctor – Free unlimited online GP

The purchase of additional annualLeave

Hybrid Working

Free Gym membership

Travel Pass

Maternity & Paternity leave

Bike to work Scheme

Recognition Awards

Cash incentives for referrals

Tech MBA paid by EY

Wellness rooms

Job summary

EY Ireland’s AI Lab is seeking an experienced Data Scientist Manager to lead predictive and generative AI initiatives for global clients. You will collaborate with data science, ML engineering, and BI teams to deliver scalable AI solutions, from research to production.

You’ll apply Python, SQL and cloud ML tools on Azure Databricks, design data pipelines with Spark, and leverage LangChain/LangGraph and LLMs to drive intelligent decision support.

Qualifications

• 5–7+ years experience in data science or applied ML.
• Proficiency in Python, SQL and ML libraries.
• Experience with data wrangling, model development and evaluation on Azure Databricks or similar platforms.
• Familiarity with LLMs and embeddings for agentic applications.

Responsibilities

• Build and evaluate predictive and generative models using Python and cloud ML frameworks.
• Develop features and data pipelines in collaboration with engineering teams using Spark and Azure Data Factory.
• Integrate models into agentic AI solutions: recommendation, classification, forecasting and decision support.
• Leverage LLMs for data augmentation, summarisation and contextual reasoning.
• Communicate results clearly through visualisations and stakeholder presentations (Power BI).

Skills

Data science

Python

SQL

ML libraries

Azure Databricks

LangChain

LangGraph

Explainability

Responsible AI

Consulting experience

Tools

Spark

Azure Data Factory

Job description

EY Ireland’s AI Lab is seeking an experienced Data Scientist Manager to lead predictive and generative AI initiatives for global clients. You will collaborate with data science, ML engineering, and BI teams to deliver scalable AI solutions, from research to production.

You’ll apply Python, SQL and cloud ML tools on Azure Databricks, design data pipelines with Spark, and leverage LangChain/LangGraph and LLMs to drive intelligent decision support.