Data Scientist

Summary

Join NICE Actimize's AML Analytics Services team as a Senior Data Scientist. You will perform analysis to support AML model deployment, improve computational algorithms and tools, optimize NICE Actimize AML products, define product requirements, develop solution-specific scores, measure analytical performance, and maintain model development methodologies. The role demands strong data analytical and programming skills (Python 3.7+), experience with machine learning models, and familiarity with AWS cloud services. Excellent communication skills are essential for interacting with various teams and clients. NICE offers a hybrid work model (NiCE-FLEX) with flexibility between office and remote work.

Requirements

• Total experience : 2 - 4 years
• Strong data analytical skills and well versed with statistical concepts
• Strong experience with using SQL and EXCEL
• Understanding of database concepts, data integration
• Strong programming skills in Python version 3.7 and above and ability to rapidly learn new programming tools
• Experience of building and deploying classification, regression, clustering machine learning models at an enterprise level
• Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc
• Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients
• Well versed with bagging and boosting algorithms such as random Forest, XGBOOST etc
• Hands-on experience with AWS Cloud computing services such as Sage maker, EC2
• Strong commitment to quality
• Experience in full AI/ML life cycle from model development, training, deployment, testing, refining and iterating
• Passion for financial data and problem solving, understanding that financial data comes in different formats and sizes
• Should be experienced in building Enterprise Machine Learning models
• Highly experienced in handling customer interactions
• Experienced in creating standard model development reports

Responsibilities

• Perform analysis to support the deployment of AML analytical models
• Improve the quality and actual implementation of computational algorithms and tools
• Optimize the performance of NICE Actimize AML products and improve customers’ experience with our AML solutions
• Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved
• Develop and enhance our solution-specific scores
• Should be able to deliver the work within timelines
• Measure the quality of the analytical performance of AML Products
• Help maintain and improve model development methodologies/practices

Preferred Qualifications

• Customer facing experience – a plus
• Knowledge of KNIME – a plus
• Exposure to MLOps – a plus
• Knowledge of Optimization analytics
• Knowledge of Data Robot – a plus
• Well versed with deploying ML Models using Containers
• Experience in building robust data pipelines – a plus

Benefits

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