AI Chapter Lead - Payments business

• •We are seeking a hands-on AI Chapter Lead to drive the delivery of AI use cases and ensure technical excellence within our AI team. This role focuses on leading a team of data scientists, ensuring projects are delivered on time with high quality, and fostering the technical growth of team members. The ideal candidate combines strong technical depth with delivery focus—someone who can roll up their sleeves when needed while guiding the team through complex implementations.

+ ' ' + Education & Experience: Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field4+ years of experience in data science/ML engineering, with minimum 1 years in a lead or senior technical roleExperience in banking/financial services is strongly preferredTrack record of delivering ML projects to production Technical Skills: Strong proficiency in Python and SQLSolid knowledge of ML algorithms: regression, classification, clustering, ensemble methods, deep learning fundamentalsHands-on experience with ML platforms (Dataiku preferred)Understanding of MLOps practices

• •CI/CD for ML, model versioning, monitoring, containerizationExperience with cloud platforms (MS Azure preferred)Familiarity with Git, Docker, and API developmentDemonstrated ability to lead small technical teams and deliver resultsStrong mentoring and coaching capabilitiesClear communication skills—ability to explain technical concepts to non-technical stakeholdersProactive problem-solver with strong ownership mentalityCollaborative approach with attention to quality and detail Experience with LLMs, RAG architectures, or conversational AI implementationsFamiliarity with model validation processes and regulatory documentation requirementsExperience with Agile/Scrum methodologies in data science contextBackground in NLP or computer vision projects + ' ' + Opportunities for professional growth and development.Competitive salary and bonuses.Comprehensive insurance coverage.Supportive work environment.Visa Premium salary card.Corporate discounts and events.Additional vacation days.Discounted education and employee loans.

+ ' ' + AI Use Case Delivery: Own end-to-end delivery of assigned AI use cases, ensuring projects progress from development through deployment with clear timelinesManage sprint planning, task allocation, and daily stand-ups to maintain delivery momentumRemove technical blockers, coordinate with dependent teams (IT, Data Engineering), and escalate issues proactivelyEnsure quality standards through code reviews, testing practices, and documentation requirements Technical Leadership: Provide hands-on technical guidance on model development, feature engineering, and deployment approachesEstablish and enforce coding standards, version control practices, and MLOps workflowsLead technical design discussions and architecture decisions for use cases within scopeStay current with ML/AI advancements and introduce relevant techniques to the team Team Development: Mentor and coach data scientists, providing regular feedback and career guidanceConduct technical skill assessments and create individual development plansOrganize knowledge sharing sessions, tech talks, and learning initiatives within the chapterSupport hiring processes including technical interviews and candidate evaluation Model Operations & Monitoring: Ensure deployed models meet performance standards through monitoring and alerting frameworksCoordinate model retraining cycles and performance optimization effortsMaintain documentation standards for model handover and operational supportCollaborate with Model Validation team on documentation requirements and review processes Stakeholder Coordination