Find Data science_ ml Jobs in Dublin, D

Data Analyst
iCims —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
- Data analysis skills
- Annual leave
- Life insurance
Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
Research Scientist: Machine Learning for Drug Discovery and Genomic Data
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- English
AI Engineer 2
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
15h
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Software Engineer - Observability
Microsoft —Dublin, County Dublin
- €63,400–€105,700 a year
- Full-time
- Azure
- Computer Science
- DevOps
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Vice President Data Science
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- AI
Lead Software Engineer
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
11d
Senior Manager, Network Supply Planner
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Engineering
- ERP systems
- Annual leave
1d
Senior Specialist - Portfolio Health
Mastercard —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Product management
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Software Development Engineer, ML Navigators
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Java
1d
Director, AI & Digital Quality
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Management
- IT
- AI
22h
Director, AI & Digital Quality
AstraZeneca —Dublin, County Dublin
- Management
- IT
- AI
22h
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
10h
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
10h

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Data Analyst

iCims -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Benefits

Annual leave
Life insurance

Qualifications

iCIMS
Power BI
Data modelling
Azure
Computer Science
NumPy
Data analysis skills
Google Cloud Platform
Tableau
SQL
AWS
Bachelor's degree
SaaS
AI
Communication skills
Python

Full job description

Dublin 2, Ireland
Analytics
Full Time
Hybrid (Remote / On Site)
6304

Job Overview

At iCIMS, we’re redefining how people connect with opportunity through intelligent, human-centered technology. Our Dublin AI Hub is the strategic center for innovation, where we’re building next-generation solutions powered by Generative AI (GenAI), Large Language Models (LLMs), agentic frameworks, and NLP-driven features.

As a Data Analyst, you’ll play a critical role in transforming raw data into actionable insights that guide AI development and product decisions. You’ll work closely with data scientists, engineers, and product teams to analyze performance metrics, monitor model behavior, and ensure data quality for advanced AI solutions. This role is ideal for someone who thrives at the intersection of analytics, AI innovation, and business impact.

This is a hybrid position based at Windmill Lane, Dublin 2, our strategic hub for AI development in Ireland.

About Us

ICIMS is a leading enterprise hiring platform that combines the scale and reliability of enterprise software with the transformative power of AI. Thousands of organizations across more than 200 countries and territories trust ICIMS to find and hire the people who shape their future and drive their business forward. Powered by insights from billions of hiring interactions, continuous AI innovation, and a highly extensible platform, ICIMS helps organizations turn talent acquisition into a competitive advantage. For more than 25 years, ICIMS has delivered end-to-end hiring solutions that improve recruiting efficiency, reduce costs and create exceptional candidate experiences.

ICIMS helps solve one of the biggest challenges businesses face today: building a workforce that can adapt, scale, and perform in an increasingly competitive and unpredictable talent market. We uniquely do that by combining enterprise-grade hiring technology, AI-powered insights and automation, and connected talent experiences to help organizations improve hiring outcomes while driving measurable impact.

Responsibilities

Analyze large, complex datasets to identify trends, anomalies, and opportunities for optimization in AI models and features.
Build dashboards and reports to monitor model performance, user engagement, and business KPIs.
Support data preparation and validation for ML/NLP model training, ensuring accuracy and completeness.
Collaborate with data scientists to design and implement evaluation metrics for LLMs, GenAI, and agentic frameworks.
Conduct statistical analysis and A/B testing to measure feature impact and guide product decisions.
Partner with engineering and product teams to ensure data integrity and governance across pipelines.
Document findings and communicate insights clearly to technical and non-technical stakeholders.

Qualifications

Bachelor’s degree in Data Analytics, Statistics, Computer Science, or related field.
2+ years of experience in data analysis, preferably in AI/ML or SaaS environments.
Strong proficiency in SQL, Python (Pandas, NumPy), and data visualization tools (Tableau, Power BI, or similar).
Solid understanding of statistics, hypothesis testing, and experiment design.
Experience working with large datasets and cloud platforms (AWS, Azure, or GCP).
Familiarity with ML concepts and evaluation metrics is a plus.
Excellent communication skills and ability to translate data insights into business recommendations.

EEO Statement

iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected].

Compensation and Benefits

iCIMS offers a comprehensive benefits package: medical, vision, and dental, life insurance, pensions, tuition reimbursement, lifestyle spending accounts, and generous paid time off plans (vacation, sick, parental leave). Learn more here: https://careers.icims.com/benefits

Apply Now

Refine Your Search

data science_ ml jobs in dublin, d

Data Analyst

Research Engineer: Machine Learning and Knowledge Representation for Biodata

Research Scientist: Machine Learning for Drug Discovery and Genomic Data

AI Engineer 2

Principal Data Scientist

Software Engineer - Observability

Customer Engineer, SMB, Artificial Intelligence

Vice President Data Science

Lead Software Engineer

Senior Applied Scientist, AWS Security

Senior Manager, Network Supply Planner

Senior Specialist - Portfolio Health

Data Engineer

Software Development Engineer, ML Navigators

Director, AI & Digital Quality

Director, AI & Digital Quality

Principal Data Product Engineer — Data Ontology & Metadata

Principal Data Product Engineer — Data Ontology & Metadata

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