Graduate Data Scientist: AI & Analytics in Cork

Dell Inc.; Cork; On-site; EUR 32,000 - 42,000; Full time

Job summary

Dell Inc. in Cork, Ireland is seeking a Graduate Data Scientist to join our Data Science team and help turn data into actionable insights that drive innovation across Dell Technologies. You will work with experienced data scientists, engineers, and business stakeholders to develop analytics, ML, and data-driven decision making.

This role offers exposure to modern analytics tools, large-scale datasets, and opportunities to contribute to real business challenges alongside a supportive team.

Qualifications

• Recent graduate in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related quantitative discipline.
• Experience with Python, R, SQL or similar during studies or internships.
• Knowledge of data analysis, statistical modelling and data visualization concepts.

Responsibilities

• Analyse and interpret structured and unstructured data to identify trends, patterns and insights.
• Develop dashboards, reports and visualizations to communicate findings to technical and non-technical stakeholders.
• Support design, testing and deployment of machine learning and predictive analytics models.
• Collaborate with cross-functional teams to solve business problems using data-driven approaches.
• Apply statistical techniques to improve decision-making and business outcomes.

Skills

Data analysis

Python

R

SQL

Communication

Teamwork

Machine learning basics

Education

Recent graduate in Data Science / CS / Math / Engineering

Tools

Scikit-learn

TensorFlow

PyTorch

Cloud platforms

Job description

Dell Inc. in Cork, Ireland is seeking a Graduate Data Scientist to join our Data Science team and help turn data into actionable insights that drive innovation across Dell Technologies. You will work with experienced data scientists, engineers, and business stakeholders to develop analytics, ML, and data-driven decision making.

This role offers exposure to modern analytics tools, large-scale datasets, and opportunities to contribute to real business challenges alongside a supportive team.