National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr. Data Scientist

iCIMS, Inc.
Falmouth
2 months ago
Applications closed

Related Jobs

View all jobs

Sr Data Science Manager, Professional Services

Job Overview

We 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 and/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.

Hybrid/remote work in Ireland, focused near Dublin. The team meets weekly in the iCIMS office at Dogpatch Labs.


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 models and agents independently.
  • Evaluate advanced/complex AI/ML models and agents qualitatively and quantitatively 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 and 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 or advanced degrees.
  • Experience with one or more of the following: 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 skills. Articulates thoughts and ideas clearly, concisely, and persuasively.


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 .


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

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.