Data Science & AI Student

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

As a Data Science & AI Student, you will join one of our core product or research teams, contributing to real-world AI-driven features and intelligent systems in a modern cloud-based environment. In this role, you’ll gain hands-on experience with cutting-edge data science tools, machine learning frameworks, and generative AI technologies, while collaborating with experienced data scientists, engineers, and product managers to deliver impactful solutions.

How will you make an impact?

• Take part in end-to-end development and deployment of AI and data science features.
• Build and experiment with Generative AI and Agentic AI solutions using frameworks such as AWS Bedrock, Azure OpenAI, Anthropic, and Hugging Face.
• Develop intelligent agents using frameworks like LangGraph, Crew AI, and similar agentic orchestration tools.
• Write clean, maintainable code using modern data science libraries such as Python, pandas, scikit-learn, PyTorch, or TensorFlow.
• Participate in daily team activities and agile ceremonies.
• Learn and apply best practices in data preprocessing, model training, evaluation, and MLOps.
• Collaborate with teammates to troubleshoot, debug, and optimize AI workflows and model performance.
  
  

Have you got what it takes?

• Currently pursuing a B.Sc. or M.Sc. in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a related field
• Completed at least two years of academic studies and have 2 remaining semesters (end date Oct 2026)
• Strong analytical and problem-solving skills
• Fast learner with the ability to work independently and take initiative.
• Solid communication skills and a team-oriented mindset.
• Practical experience in Python, pandas, scikit-learn and other packages.
• Experience with Generative AI, LLMs, and agentic architectures such as LangGraph, Crew AI, or similar.
  
  

You will have an advantage if you also have:

• Exposure to cloud platforms such as AWS Bedrock, Azure OpenAI, Anthropic, or Hugging Face
• Interest in AI productization, model interpretability, or data visualization
  
  

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, with endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 8287

Reporting into: Principal Research & Data Science Manager

Role Type: Student

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.