📋 Description

• Join a high‑performing analytics team to solve fraud problems with advanced analytics and ML.
• Explore large datasets to uncover patterns and build predictive models.
• Collaborate with cross‑functional teams to deliver scalable analytics solutions.
• Communicate findings to technical and non‑technical audiences.
• Stay updated with latest data science advancements and best practices.
• Contribute to innovation forums and knowledge sharing across NICE.

🎯 Requirements

• Advanced degree in Statistics, Mathematics, CS, or related field.
• Strong analytical, problem‑solving, and communication skills.
• Proficiency in SQL and Python (3.7+).
• Hands‑on ML experience (classification, regression, clustering).
• Experience with model development and deployment at scale.
• Familiarity with ML‑Ops, containers (Kubernetes a plus), and cloud (AWS/Azure).

🎁 Benefits

• Hybrid work model: 2 days in office, 3 days remote.
• Global company with career growth opportunities.
• Collaborative, fast‑paced, creative environment.
• Exposure to cutting‑edge analytics and fraud domain.
• Flexible work arrangements and emphasis on work‑life balance.