[3 Days Left] Data Scientist

Job Overview

At iCIMS, we’re redefining how people connect with opportunity through intelligent, human‑centred technology. We’re growing rapidly and are seeking Data Scientists at multiple levels of experience – from early career to experienced professionals – to build the next generation of our Talent Cloud platform through AI and ML models that power GenAI, LLMs, agentic frameworks, and NLP‑driven features. You’ll develop and deploy scalable models and insights that drive real‑world impact, working on challenges at the intersection of AI and talent acquisition. You’ll collaborate with product experts, software engineers, and fellow data scientists in a culture that values innovation, ownership, and continuous learning. This is a hybrid position based in Dublin city centre, our strategic hub for AI development in Ireland.

About Us

When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent. Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile. As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. We’re passionate about helping companies build a diverse, winning workforce and about building our home team. We’re dedicated to fostering an inclusive, purpose‑driven, and innovative work environment where everyone belongs.

Responsibilities

- Build, train, and deploy AI/ML models, including natural language models, agentic AI products, and LLM‑based solutions
- Develop advanced LLM prompts independently
- Evaluate models and prompts using qualitative and quantitative methods, automated testing, and statistical analysis
- Extract, clean, and transform text and structured data for model development
- Define and plan detailed work for AI tasks and user stories
- Implement reproducible, testable, ethical, efficient, and production‑ready AI solutions following responsible AI practices
- Collaborate with engineering, product, and business stakeholders to design and implement data‑driven solutions
- Monitor production model performance and investigate reported issues
- Contribute to best practices, frameworks, and tools for data science and AI excellence
- Conduct research to advance our AI capabilities

Qualifications

We’re hiring at all experience levels and will match responsibilities to your background.

- Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (or equivalent professional experience)
- Experience implementing AI/ML models in products
- Proficiency in Python and data science frameworks (e.g., scikit‑learn, PyTorch, Hugging Face)
- Strong analytical and problem‑solving skills with genuine intellectual curiosity
- Strong communication and collaboration skills across both technical and non‑technical teams
- For senior‑level candidates: demonstrated experience in mentoring, leading projects, or driving strategic initiatives

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 careers@icims.com.

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

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