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Job Purpose and Impact

• The Professional, AI & Data Science job develops and implements artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With limited supervision, this role extracts and integrates moderately complex data from various sources, helps building models suitable for the business use case and analyzes model performance for accuracy, scaling and deployment. This job also supports the development of compelling and clear communication materials to facilitate partner on board.

Key Accountabilities

• DATA PREPARATION MANAGEMENT: Conducts extraction and integration of moderately complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
• DATA ANALYSIS: Reviews moderately complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
• MODEL DEVELOPMENT: Implements and deploys artificial intelligence models, including review of ongoing performance to solve moderately complex business problems and derive actionable insights.
• AI ENGINEERING: Applies software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. .
• DOCUMENT & REPORTING: Collaborates documenting development and code in ways that allow for support and knowledge sharing.
• COMMUNICATION: Communicates techniques and results to technical and non-technical audiences.
• CONTINUOUS LEARNING: Supports examination of existing and emerging artificial intelligence and optimization principles, theories, and techniques to deploy artificial intelligence and optimization models into production, improving the organization's analytical capabilities.
• STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and supports collaboration with cross functional teams to implement artificial intelligence models for digital applications.

Qualifications

• Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.