Specialist Data Scientist , Actimize

Overview

Join NICE Actimize's Data Science team to solve complex fraud-related problems using advanced analytics and machine learning, building predictive models that drive business impact.

What you'll do

• Analyze large volumes of client data to extract actionable insights, assess AML compliance and identify and flag inconsistencies or potential compliance risks.
• Develop and execute advanced analytics projects end to end, including data collection, preprocessing, model development, evaluation, and deployment.
• Design and develop predictive and generative models to extract actionable insights from large and complex datasets.
• Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data.
• Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs.
• Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges.
• Handle imperfections in data.
• Bring together disparate data types in visualization packages that let end users see both the landscape and the details to improve decision-making.
• Present results clearly.
• Mentor and coach other team members to develop technical skills.

What you'll need

• 8+ years of experience in application and knowledge of statistical techniques and Data Science concepts (statistical tests, regression, feature selection, time series modeling, Advanced Machine Learning etc.).
• Strong experience with SQL and Excel.
• Strong programming skills in Python and ability to rapidly learn new programming tools.
• Experience in application and knowledge of machine learning techniques (clustering, decision trees, boosting, etc.) and their advantages or drawbacks.
• Good command of developing and deploying classification and regression machine learning models at an enterprise level.
• Versed with various bagging and boosting methods and able to choose which should be used based on data.
• Fair understanding of Logistic regression and various regularization techniques.
• Expert at troubleshooting issues with a variety of production data and past deployed models.
• Ability to work in multi-disciplinary agile teams.
• Strong commitment to deliver work with a "Right first time" approach.
• Exceptional technical and business communication in English, verbal and written.
• Good time management.

Nice to have

• Model deployment and production model monitoring with ML-ops framework or containerized environment (Kubernetes).
• Familiarity with various cloud infrastructure (especially AWS).
• Experience in development of risk management models, particularly in the AML compliance areas.
• Knowledge of national and international financial systems and appropriate data standards.
• Experience of containerized model development using Kubernetes.
• Exposure to banking or financial services domain.
• Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering).

Details

• Location: India - Pune.
• Work mode: NICE-FLEX hybrid model, 2 days in the office and 3 days remote each week.
• Role type: Individual Contributor, reporting into Tech Manager, Actimize.