At a glance
- Workplace
- Hybrid
- Location
- India - Pune
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.
About the role
- We are looking for talented and motivated Data Scientists who are passionate about solving complex fraud-related problems using advanced analytics and machine learning.
- You will join a dynamic team of highly skilled Data Scientists and Fraud Analytics experts working on cutting-edge analytical solutions.
- If you love transforming raw data into actionable insights and want to be part of a high-performing analytics team at NICE Actimize, this role is for you.
Responsibilities
- Work with large, complex datasets to analyze fraud cases and identify 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 compelling visualizations that help stakeholders understand trends and insights.
- Collaborate with business teams, engineers, and stakeholders to deliver scalable analytical solutions.
- Drive continuous improvement by staying updated with the latest advancements in Data Science and ML.
- Communicate analytical findings clearly to both technical and non-technical audiences.
- Participate in critical discussions, advocate technical solutions, and support model deployment.
- Contribute to innovation forums and knowledge-sharing initiatives across NICE.
Requirements
- 4 to 8 years of relevant Data Science experience.
- Strong analytical, problem-solving, and communication skills.
- Ability to explain complex analytical concepts to non-technical stakeholders.
- Experience working in agile, multi-disciplinary teams.
- Self-driven, collaborative, and committed to delivering high-quality outcomes.
- Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields.
- Strong knowledge of statistical techniques (regression, feature selection, time series, etc.).
- Proficiency in SQL and Excel.
- Strong programming skills in Python (3.7+).
- Hands-on experience with ML techniques (clustering, decision trees, boosting, etc.).
Preferred qualifications
- Kubernetes is a plus
- Experience in fraud analytics, financial crime, or risk management models.
- Knowledge of financial systems and data standards.
- Experience with containerized model development using Kubernetes.
- Exposure to banking or financial services domain.
Workplace
- NiCE-FLEX hybrid model: 2 days working from the office and 3 days of remote work each week
Skills
- SQL
- Excel
- Python
- Kubernetes
- AWS
- Azure
