Job OverviewWe are iCIMS AI, an agile team of product people, data scientists and software engineers, who created a collaborative environment centered around passion for people and their careers, as well as data science, high-performance software, and user experiences. Our culture feeds from innovation, engineering excellence and owning the outcomes for our stakeholders.
As a Senior Data Scientist, you will play a crucial role in AI engineering for the iCIMS Talent Cloud. You will assist with building Natural Language Processing (NLP) models and statistical analysis using emerging components and technologies. If you have experience in the HR domain or emerging Agentic technologies that is a plus.
For this role you must have demonstrated machine learning experience and strong software skills coupled with a sound theoretical base in model training and optimization. If you have deeper experience or a stronger academic background, please apply as we may have some flexibility.
This is a hybrid position based at Windmill Lane, Dublin 2, 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 advanced/ complex AI /ML natural language mod models and agents independently
- Evaluate advanced /complex AI/ML models and agents qualitatively and quantitative using automated and statistical tools
- Build repeatable extract, clean and transform pipelines and frameworks
- Define user stories and organize tasks for a full AI feature or business problem
- Code API interfaces to AI orchestrations integrate them into production pipelines
- Define and adapt practices for reproducible, testable, ethical, efficient, and production ready AI
- Lead individual initiatives that require multiple stakeholder input
- Ensure all work meets responsible AI practices
- Knowledge share with peers and stay current with changes in core practices, frameworks and tools
- Investigate and resolve reported issues
Qualifications - Bachelor's degree in Data Science , Computer Science, Statistics, or a related field OR equivalent learning and experience
- 4+ years experience implementing AI/ML products
- Experience with one or more: Natural Language processing, deep learning, generative AI and/or Agentic AI
- Expert with Python and data science frameworks
- Excellent problem-solving and analytical skills
- Excellent communication and interpersonal with ability to a rticulate thoughts and ideas clearly, concisely, and persuasively
EEO StatementiCIMS 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
Compensation and BenefitsiCIMS 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:
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