Key Responsibilities
• Design Machine Learning, Natural Language and Decision Optimisation applications architecture.
• Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics.
• Translate business requirements to reporting dashboard and analytics.
• Perform advanced analytics and statistical modelling on structured and unstructured data.
• Work with software engineers to integrate and deploy AI applications.
• Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
• Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand.
• Respond to and resolve data mining performance issues.
• Monitor data mining system performance and implement efficiency improvements.
• Develop and implement change management plans to ensure successful adoption of AI solutions across the organization.
• Provide training and support to business users to help them understand and leverage AI tools and technologies.
• Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation.
• Work with senior management to develop and refine the bank's AI strategy, ensuring alignment with overall business objectives.
• Identify and prioritize AI use cases that have the potential to deliver significant business value.
• Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation.
Skills and Experience
• 8+ Years of Software development experience using .Net framework or Java
• Completed real world ML, NLP and DO projects using R or Python
• Extensive experience in SQL and NoSQL database design, queries and stored procedures
• Hands-on experience with Windows Server, Azure, AWS and Git
• Highly proficient in data visualisation tools...
• Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc.
• Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc.
• Process/Data Modelling - 'As Is'/'To Be'/ Visio/Enterprise Architect/System Architect, Etc.
• Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python)
• Good experience with Business Intelligence tools and Decision Support Systems
• Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau.
• Proven experience in working with key stakeholders within the business.
• Proven problem-solving skills
• Workshop Facilitation
Qualifications
Master or PHD in Mathematics, Statistics, Knowledge Engineering or Data science.
Completed real world ML, NLP and DO projects using R or Python