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Key Responsibilities:

Lead and coach a team of data scientists and analysts to deliver scalable AI/ML solutions
Oversee end-to-end model development from exploration to production, ensuring quality, compliance, and business alignment
Collaborate closely with Product, Engineering, and Business stakeholders to identify high-impact use cases
Establish best practices for AI/ML model lifecycle management (e.g., data versioning, retraining, monitoring)
Act as a thought partner in shaping data science strategy and roadmap
Contribute to talent development, hiring, and fostering a strong data science culture
Stay current on industry trends and regulatory considerations, particularly in financial services and virtual banking

Qualifications:

6+ years of experience in data science, with at least 2 years in a leadership or managerial role
Proven track record in deploying machine learning models to production in real-world business settings
Strong communication skills with the ability to translate technical insights into strategic actions
Solid understanding of statistical modeling, machine learning, generative AI framework (e.g. Langchain, LlamaIndex), reinforcement learning, graph analytics and MLOps practices
Experience in the financial domain (e.g., lending, insurance, investment) is a strong plus
Familiarity with cloud-based platforms (e.g., AWS, GCP) and tools such as Python, SQL, and MLflow

Data Scientist Manager (AI/ML)