Data Science Researcher

So, what’s the role all about?

How will you make an impact?  

• Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment. 

• Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch. 

• Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration. 

• Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization. 

• Integrating new features and solutions into large existing software systems, stringing multiple disciplines together. 

• Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team. 

• Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery. 

Have you got what it takes?

• 5+ years of experience as an applied researcher or research engineer. 

• Loves reading and writing code. 

• Hands-on Python developer - training models, using trained models, data carpentry, preprocessing and analysis. 

• Hands-on with PyTorch. 

• ML-Ops and cloud experience - deploying and serving models on AWS or another cloud provider. 

• Experience with mathematical optimization (e.g. Gurobi). 

• Hands-on experience designing and building agentic AI flows. 

• Effective Claude user. 

• Independent and analytical thinker - capable of running unstructured evaluations and driving conclusions. 

• Experience working in an agile environment. 

 

You will have an advantage if you also have:

• MSc in Computer Science or an equivalent engineering field. 

• Experience with HuggingFace, scikit-learn, and pandas/SQL. 

• Containerization with Docker. 

• LLM-specific experience: RAG, fine-tuning, evaluation frameworks. 

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.

#LI-Hybrid

Requisition ID: 11110

Reporting into: Group Lead, Data Science, CX

Role Type: Individual Contributor