Job OverviewAt iCIMS, we're redefining how people connect with opportunity through intelligent, human-centred technology. We're seeking a Senior Principal Data Scientist to shape the future of our Talent Cloud platform, architecting and delivering advanced AI/ML solutions that power our GenAI, LLM, agentic frameworks, and NLP-driven features at scale.
You'll serve as a technical authority, helping to driv e AI strategy and implementation across the organisation. You'll mentor data scientists and engineers, partner with cross-functional leaders, and influence the direction of our AI-powered products 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 - Architect, design, build, and oversee the deployment of large-scale AI/ML systems, including natural language processing, deep learning, and generative AI solutions
- Drive AI strategy and roadmap in collaboration with engineering, product, and business leaders
- Lead cross-functional initiatives that deliver transformative AI capabilities and measurable business impact
- Establish best practices for reproducible, ethical, and production-ready AI, ensuring robust model governance, transparency, and fairness
- Develop frameworks for automated data extraction, cleaning, transformation, and model evaluation at scale
- Mentor and coach data scientists and engineers, fostering technical excellence and continuous learning
- Drive research and innovation, staying current with AI/ML advancements and influencing technology adoption
- Present strategy, plans, and findings to executive leadership and customer stakeholders
- Represent iCIMS AI in external forums through publications, talks, and partnerships
Qualifications - Bachelor's degree in Data Science , Computer Science, Machine Learning, Statistics, or related field (or equivalent professional experience)
- 12+ years of hands-on experience with advanced machine learning, deep learning, and natural language processing techniques
- Demonstrated success leading end-to-end AI projects from conception to production deployment in complex environments
- Expertise in software engineering, scalable data architectures, and MLOps practices
- Exceptional communication and leadership skills with a track record of mentoring and influencing technical teams
- Proven ability to drive cross-functional initiatives and engage effectively with executive stakeholders
- Strong analytical and problem-solving skills with intellectual curiosity
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 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 .
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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