Join us in shaping the future of AI and data science! As part of the Focused Analytics Solutions Team (FAST), you’ll accelerate innovation and deliver impactful solutions in a consulting-style environment. We offer mentorship, resources, and a collaborative environment where diverse perspectives drive breakthrough results. Grow your career with us and help define the future of AI & data science within CCB.
As an Applied AI Data Science Lead, you will drive delivery of innovative solutions, while will fostering a culture of collaboration and excellence, including an emphasis on talent development. You’ll work closely with internal clients and partners across CCB, set standards of excellence, and help build a unique environment for AI and data science innovation. Your work will directly impact the firm and our customers, while providing opportunities for professional growth and development.
You’ll have the opportunity to work with experts across disciplines, build relationships with senior leads across CCB, and contribute to a team that values both traditional and non-traditional career paths. We are committed to providing all team members with the mentorship, resources, and networks needed to succeed. If you thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply.
Job responsibilities
Drive delivery of innovative solutions to complex business problems, with a focus on AI (including GenAI) and machine learning (e.g., deep learning, neural networks) solution development
Develop and execute test-and-learn frameworks for rapid prototyping
Translate insights into tools, processes, and strategies for the firm
Cultivate strong relationships with internal clients and senior leaders across CCB
Foster a culture of collaboration and excellence that empowers colleagues to share ideas and solve complex problems, with an emphasis on talent development
Recruit, develop, and retain talent through open communication and learning
Support initiatives that foster growth and opportunity for all team members
Maintain a rigorous controls environment for accurate and timely results
Required qualifications, capabilities, and skills
Demonstrated mastery of data science techniques (e.g., descriptive, inferential, and causal statistics, model optimization) and machine learning (e.g., deep learning, neural networks, and generative AI)
Hands-on experience deploying Large Language Model (LLM) applications in production environments, including designing, building, and maintaining LLM-based solutions at scale
Familiarity with best practices for monitoring, observability, and responsible AI in production
Track record of mentoring and coaching talent, with experience building high-performing, collaborative teams
Experience working across disciplines, sectors, or cultures
Excellent communication skills, with an ability to communicate to diverse audiences (e.g., technical / non-technical)
Experience navigating regulated, complex technology environments
Proficiency in Python, R, C++, Julia, or Matlab
Preferred qualifications, capabilities, and skills
PhD or equivalent experience in a quantitative, computational, or social science discipline
Demonstrated impact through publications, patents, open-source contributions, or significant project outcomes
Solid understanding of cloud architecture (AWS, GCP, Azure)
Experience with containerization, orchestration, and CI/CD pipelines for ML/AI workloads
If you are passionate about building innovative AI solutions, have a proven track record of deploying LLMs in production, and thrive in environments where rigor, compliance, and creativity intersect, we encourage you to apply.
***Relocation assistance is not available for this role.