Data Scientist

Strategy*

Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy.

Business*

• Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics.
• Optimize feature engineering and model tuning to increase model performance.
• Expertise in model optimization and hyperparameter tuning to achieve high precision and recall.
• Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand.
• Perform advanced analytics and statistical modelling on structured and unstructured data.
• Work with software engineers to integrate and deploy AI applications.
• Design Machine Learning, Natural Language and Decision Optimisation applications architecture.
• Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis.

Key stakeholders*

COO Business, CDO, internal staff, clients and 3rd parties

Other Responsibilities*

Embed Here for good and Group’s brand and values in XXXX [country / business unit / team]; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats); [List all responsibilities associated with the role]

• 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:

• 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