Data Science & AI Student

Summary

Join NiCE as a Data Science & AI Student and contribute to real-world AI-driven features and intelligent systems. You will gain hands-on experience with cutting-edge data science tools and collaborate with experienced professionals. This role involves end-to-end development and deployment of AI features, building Generative AI solutions, developing intelligent agents, and writing clean, maintainable code. You will participate in team activities and apply best practices in data science. The position requires a strong analytical background and practical experience with Python and related packages. NiCE offers a flexible hybrid work model (2 days in office, 3 days remote).

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

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

Benefits

• 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
• 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