Role Overview

NICE Ltd. is seeking a Data Scientist Engineer to optimize prompts for generative AI models across its Illuminate applications. This role involves close collaboration with global development teams to enhance customer experiences through AI-driven solutions.

Key Responsibilities

• Analyze production metrics and specific problem cases to identify improvement opportunities.
• Diagnose and resolve issues with production prompts in English.
• Refine prompts to generative AI systems to achieve customer goals.
• Collect and present quantitative analysis on solution success.
• Collaborate with application developers to implement new production monitoring tools and metrics.
• Work with architects and Product Managers to implement prompts supporting new features.
• Engage with teams in U.S. Mountain and Pacific time zones for regular meetings.
• Review new prompts and changes with Machine Learning Engineers.
• Stay informed about advancements in prompt engineering.

Qualifications

• Fluency in written and spoken English.
• Bachelor’s degree in a technology-related field such as computer science, business intelligence/analytics, or finance.
• 2-4 years of experience in a technology-related industry or position.
• Familiarity with best practices in prompt engineering, including differences among major LLM vendors.
• Proficiency in Python and at least one web app framework (e.g., Streamlit or Flask).
• Strong communication skills and ability to work collaboratively with cross-functional teams.

Salary Structure

While specific salary details for this role are not publicly disclosed, data from AmbitionBox indicates that the top 10% of employees at NICE Ltd. in India earn more than ₹35.8 lakhs per year. Compensation varies based on role, experience, and location.

Company Overview

NICE Ltd. (NASDAQ: NICE) is a global enterprise software company providing solutions based on advanced analytics, artificial intelligence, and automation. Serving over 25,000 organizations in more than 150 countries, NICE is recognized for its innovation and market leadership in customer experience, financial crime prevention, and public safety solutions.

Company Culture

NICE fosters a culture of respect, teamwork, and continuous learning. The company emphasizes employee development through proactive skill-building and supportive management. However, some reviews indicate areas for improvement in promotions and work satisfaction.

Recent Achievements

• Reported a 25% year-over-year growth in cloud revenue, reaching $2 billion in 2024.
• Named a leader in the 2025 Aragon Research Globe™ for AI Agent Platforms.
• Announced a strategic partnership with ServiceNow to deliver AI-powered customer service solutions.

Employee Reviews

Employees have praised NICE for its positive work environment and competitive salary hikes. However, some have noted challenges related to internal politics and a fear-based culture.

Preparation Tips for Applicants

• Enhance your understanding of prompt engineering and its application in generative AI models.
• Demonstrate proficiency in Python and familiarity with web app frameworks like Streamlit or Flask.
• Prepare to discuss experiences related to cross-functional collaboration and problem-solving.
• Stay updated on the latest trends in AI and machine learning to showcase your commitment to continuous learning.