Find 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
AI Portfolio Analyst
ICON Plc —Dublin, County Dublin
- Full-time
- Analysis skills
- Bachelor's degree
- Organisational skills
6d
Quantitative Developer – Compute & ML Platform
Millennium Management —Dublin, County Dublin
- Computer Science
- Research
- Bachelor's degree
6d
Principal AI/ML Scientist & Engineer
Pipedrive —Dublin, County Dublin
- Full-time
- Hybrid work
- English
- AWS
- Mentoring
- Relocation assistance
- Annual leave
Quick apply
14d
Staff Software Engineer, AI Reliability Engineering
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Bachelor's degree
- AI
- Communication skills
Software Dev Engineer, AWS Database Migration Service
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- AWS
4d
Software Engineer - ML Platform
Datavant Ireland —Dublin, County Dublin
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Software Developer, Scaled Ops AI Acceleration Team
Meta —Dublin, County Dublin
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
9d
Global Quality Program Manager, Law Enforcement Operations - Trust and Safety
TikTok —Dublin, County Dublin
- Computer Science
- Engineering
- SQL
4d
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Specialist, Product Management - AI
Mastercard —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Product management
11d
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Senior Data Scientist
Verve —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Manager, Account Executives, Startups
Anthropic —Dublin, County Dublin
- €265,000–€310,000 a year
- Sales
- Analysis skills
- Bachelor's degree
Data Architect
Version 1 —Dublin, County Dublin
- €80,000–€95,000 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- AWS
- Employee assistance program
- Employee discount
Quick apply
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
Director, AI & Digital Quality
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Management
- IT
- AI
13d
Product Manager
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Communication skills
- Analytics
Software Architect - Analytics & Reporting
Optum —Dublin, County Dublin
- Full-time
- Azure
- Master's degree
- AWS
Staff Product Engineer, AI
Intercom —Dublin, County Dublin
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
- Annual leave
- Work from home

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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

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science_ ml jobs in dublin, d

Data Analyst

AI Portfolio Analyst

Quantitative Developer – Compute & ML Platform

Principal AI/ML Scientist & Engineer

Staff Software Engineer, AI Reliability Engineering

Software Dev Engineer, AWS Database Migration Service

Software Engineer - ML Platform

Software Developer, Scaled Ops AI Acceleration Team

Global Quality Program Manager, Law Enforcement Operations - Trust and Safety

Sr Applied Scientist

Specialist, Product Management - AI

Architect

Senior Data Scientist

Manager, Account Executives, Startups

Data Architect

Director, Game Science & Insights

Director, AI & Digital Quality

Product Manager

Software Architect - Analytics & Reporting

Staff Product Engineer, AI

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