Data Scientist -AML (Senior Manager grade) (CI-MJ-26288)

• Develop analytical and scientific solutions to address complex risk management problems by providing timely and accurate insights.
• Utilize state-of-the-art machine learning algorithms, data mining, and statistical analysis to forecast probabilities of suspicious behavior.
• Build robust data models for analysis, feature selection, model development, and testing to achieve business goals.
• Create algorithms and machine learning models in cloud data platforms to analyze big data and identify opportunities/threats.
• Assist in implementing data science applications in cloud platforms.
• Collaborate with software developers and machine learning engineers to deploy analytical models into production.
• Present findings and insights through data visualizations to drive business impact.
• Ensure data cleanliness, accuracy, and good governance through data integration and compliance.

• Postgraduate degree in Statistics, Computer Science, Data Science, or related fields.
• Minimum of 10 years of experience in data analytics or related industries, with at least 5 years in data science/cloud platforms.
• Proficiency in machine learning and deep learning frameworks like TensorFlow, Caffe, CNTK, etc.
• Experience with major machine learning and big data cloud platforms such as Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML, and BigQuery.
• Familiarity with data science languages/toolkits like Python, SQL, R, Scala, Apache Spark, Keras, etc.
• Knowledge of data architectures and experience with data visualization BI tools such as Tableau, PowerBI, Cognos, etc.
• Strong teamwork, passion, positive attitude, and good business acumen.

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