Data Scientist 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 Research Student, you’ll join our core research team to work on cutting-edge generative AI innovations. This is your chance to dive into real-world research, collaborate closely with experienced data scientists, and develop practical expertise in applicative research. In this role, you’ll gain hands-on experience with advanced generative AI and research practices, while collaborating with senior data scientists and researchers.

How will you make an impact?

Contribute to state-of-the-art generative AI research and prototypes
Write clear, modular code in Python
Contribute to writing and maintaining internal and external research papers
Contribute and participate in cross-organization data science meetings
Participate in daily team activities, presentations and knowledge sharing
Tackle real-world financial crime challenges like fraud and money laundering detection

Have you got what it takes?

Currently pursuing an M.Sc. in Data Science, Computer Science, Software Engineering, Statistics or other relevant field
Completed at least one year of academic studies and have 2 remaining semesters (expected graduation by Oct 2026)
Analytical thinker with strong problem-solving abilities and an appetite for complex challenges
Comfortable navigating ambiguity, learning quickly, and driving solutions independently
Solid communication skills and a team-oriented mindset

You will have an advantage if you also have:

Relevant work experience
Experience with network analysis or graph-based data
Experience with generative AI

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, and there are 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: 8328
Reporting into: Group Lead, Analytics and AI, Data Science Research Team

Role Type: Student

#LI-Hybrid

About NICE Actimize:

NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance.

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.