Collaborate with cross-functional teams to design and develop advanced data science models and algorithms.
Develop and maintain large-scale data systems and architectures to support business intelligence and analytics.
Work closely with stakeholders to identify business problems and develop solutions using advanced data science techniques.
Design and implement data quality checks and validation processes to ensure data integrity and accuracy.
Stay up-to-date with industry trends and emerging technologies in advanced data science.
Participate in code reviews and contribute to improving overall code quality.
Job Requirements
Strong understanding of advanced data science concepts and techniques, including machine learning, deep learning, and natural language processing.
Experience with programming languages such as Python, R, or Java, and relevant libraries and frameworks.
Excellent problem-solving skills and ability to analyze complex data sets and develop insights.
Strong communication and collaboration skills, with the ability to work effectively with stakeholders and team members.
Ability to manage multiple projects simultaneously and meet deadlines.
Strong attention to detail and ability to deliver high-quality results.
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time