Senior Data Scientist, Actimize @NICE Ltd.

Overview

NICE Ltd. is seeking a talented and motivated Senior Data Scientist for their Actimize team. This role involves solving complex fraud-related problems using advanced analytics and machine learning, with a focus on transforming raw data into actionable insights.

Key Responsibilities

• Analyze large, complex datasets to identify fraud cases and inconsistencies.
• Build, validate, and optimize machine learning models for fraud detection and prevention.
• Research data patterns to predict fraudulent transactions and improve model performance.
• Enhance existing models using advanced computational algorithms and techniques.
• Develop visualizations to help stakeholders understand trends and insights.
• Collaborate with business teams, engineers, and stakeholders to deliver scalable analytical solutions.
• Stay updated with the latest advancements in Data Science and ML.
• Communicate findings clearly to both technical and non-technical audiences.
• Participate in discussions, advocate technical solutions, and support model deployment.
• Contribute to innovation forums and knowledge-sharing initiatives.

Requirements

• 4 to 8 years of relevant Data Science experience.
• Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields.
• Strong knowledge of statistical techniques and proficiency in SQL and Excel.
• Strong programming skills in Python (3.7+).
• Experience with ML techniques and developing/deploying models at enterprise scale.
• Familiarity with ML-Ops frameworks or containerized environments (Kubernetes is a plus).
• Exposure to cloud platforms (AWS, Azure preferred).
• Experience in fraud analytics, financial crime, or risk management models (desired).

Benefits

This position offers the opportunity to work in a collaborative environment with flexibility through the NiCE-FLEX model, allowing for a mix of remote and in-office work.

Location

Remote work with some in-office days required in India.

How to Apply

Interested candidates can apply through the company's career page or the provided application link.

Deadline

Not specified.