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Principal Data Scientist

iCims -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Benefits

Annual leave
Life insurance

Qualifications

iCIMS
Law
Computer Science
Research
Master's degree
Analysis skills
Bachelor's degree
Distributed systems
Product management
AI
Communication skills

Full job description

Dublin 2, Ireland
Engineering
Full Time
Hybrid (Remote / On Site)
6314

Job Overview

At iCIMS, we’re transforming how talent connects with opportunity through intelligent, human‑centered technology. We’re seeking a Principal Data Scientist to play a pivotal role in advancing the AI capabilities that power our Talent Cloud platform. In this role, you will architect sophisticated ML solutions, lead complex initiatives, and partner closely with engineering and product teams to drive meaningful innovation across our GenAI, LLM, agentic AI, and NLP‑based systems.

You will operate as a senior technical expert - deeply hands‑on while influencing major product and platform decisions. You’ll mentor data scientists and ML engineers, guide best practices, and contribute to an experimentation culture grounded in scalable, responsible, and production‑ready AI.

This hybrid role is based at our AI development hub at Windmill Lane, Dublin 2.

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

Architect, design, and implement large‑scale AI/ML systems spanning NLP, deep learning, generative AI, agentic frameworks, and RAG‑based pipelines.
Develop production‑grade model training, evaluation, and monitoring workflows that support scalable, repeatable deployments.
Build and enhance automated data processing frameworks, including ingestion, cleaning, transformation, feature engineering, and validation.
Lead major AI‑driven projects in close collaboration with engineering, product management, user experience, and platform teams.
Provide senior‑level technical mentorship to data scientists, ML engineers, and cross‑functional partners, elevating modeling rigor and engineering excellence.
Establish and refine best practices related to ML reproducibility, model governance, observability, fairness, and responsible AI principles.
Conduct applied research on emerging ML methods—including LLM adaptation, prompting strategies, model optimization, vector search/RAG, and agent‑based orchestration—and translate findings into high‑impact product capabilities.
Prototype, experiment, evaluate, and operationalize new AI features, contributing to the advancement of our AI/ML roadmap.
Present technical insights, modeling results, and architectural recommendations to senior leadership and contribute to roadmap prioritization.
Support product teams in identifying opportunities for AI integration, offering guidance on feasibility, complexity, and expected value.
Collaborate with platform and infrastructure teams to ensure models and pipelines meet performance, reliability, and scalability expectations.
Participate in external knowledge‑sharing opportunities, contributing to iCIMS’ reputation in the AI/ML community when appropriate.

Qualifications

Bachelor’s degree in Data Science, Computer Science, Machine Learning, Statistics, Engineering, or a related technical field (or equivalent professional experience).
10+ years of hands‑on experience developing machine learning, deep learning, NLP, or generative AI systems in production environments.
Proven experience leading complex AI/ML initiatives from initial research through deployment.
Strong software engineering skills, including experience with distributed systems, scalable ML infrastructure, and MLOps workflows.
Demonstrated ability to mentor technical contributors and collaborate effectively with cross‑functional peers.
Strong communication skills with the ability to translate technical concepts into business‑oriented insights and influence decision‑making.
Strong analytical thinking, experimentation discipline, and problem‑solving capabilities

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 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’d 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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principal software engineer, amazon dynamodb jobs in clontarf, d

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