Lead Applied AI ML Data Scientist

As Lead Applied AI ML - Data Scientist within the Commercial & Investment Bank's Global Banking team, you'll leverage your technical expertise and leadership abilities to support AI innovation.

You should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and drive business results.

Job Responsibilities:


* Lead a local AI/ML team with accountability and engagement into a global organization.


* Mentor and guide team members, fostering an inclusive culture with a growth mindset.


* Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation.


* Deliver AI/ML projects through our ML development life cycle using Agile methodology.

Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.


* Work with product and business teams to define goals and roadmaps.

Maintain alignment with cross-functional stakeholders.


* Exercise sound technical judgment, anticipate bottlenecks, escalate effectively, and balance business needs versus technical constraints.


* Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution.


* Mentor junior team members delivering successful projects and building successful career in the firm.


* Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements.


* Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability.

Required qualifications, capabilities, and skills


* Masters with 7+ years experience or PhD with 3+ years of experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience.


* Track record of managing AI/ML or software development teams.


* Experience as a hands-on practitioner developing production AI/ML solutions.


* Knowledge and experience in machine learning and artificial intelligence.

Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses.


* Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.


* Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.


* Must have good knowledge on agentic patterns and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.


* Strong understanding of AI implementation in software development and legacy code transformation.


* Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineeri...