Lead Data Scientist, AI Engineering
Lead Data Scientist, AI Engineering
Overview Mastercard's AI Centre of Excellence is building the next generation of AI capabilities powered by large-scale transaction data, machine learning, and foundation models. We are transforming how AI solutions are developed by enabling teams to leverage reusable learned intelligence rather than building bespoke feature-engineering pipelines for every use case. We are seeking a Lead Data Scientist, AI Engineering to lead the development of advanced machine learning solutions across domains. This role combines deep expertise in predictive modelling, experimentation, and technical leadership to deliver measurable business impact. What You'll Work On This role focuses on applying machine learning, predictive modelling, and foundation-model representations to solve business problems at scale. Typical use cases include forecasting, propensity modelling, recommendation systems, behavioural analytics, and customer intelligence. While familiarity with Generative AI is beneficial, this is primarily an applied machine learning and data science leadership role rather than a conversational AI, RAG, or agentic systems engineering position. Role / Key Responsibilities Lead the design, development, and deployment of machine learning solutions that solve high-impact business problems. Define modelling approaches, experimentation frameworks, and success metrics for AI initiatives. Apply foundation-model embeddings and modern machine learning techniques to improve model performance and accelerate development. Drive projects from problem definition through model deployment and business impact measurement. Establish robust evaluation frameworks and benchmark new approaches against existing solutions. Partner with business, product, engineering, and analytics teams to identify and prioritise opportunities. Present technical findings and recommendations to stakeholders and senior leadership. Mentor and develop data scientists and AI engineers through technical guidance, reviews, and coaching. Contribute to hiring, capability development, and the long-term technical direction of the AI organisation. All About You All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
...We are hiring a Logistics Driver - Flatbed Tow Operator to support a growing autonomous vehicle operation in San Francisco, CA. This is an excellent opportunity for experienced tow truck operators who are looking to work with cutting-edge transportation technology while...
Position OverviewAs an Electrical Estimator at Land Mark Electric, Inc., you will be responsible for providing detailed and accurate cost estimates for a variety of electrical projects. This role focuses on commercial, industrial, and residential sectors, ensuring that...
****HIRING EVENT**** IMMEDIATE OPENINGS DRY CLEANING PRESSERS Weekly Incentive Reward (Earn extra pay just for showing up and doing your job!) Currently accepting walkin applicants for on-the-spot-interviews every Monday, Tuesday, Thursday & Friday beginning...
...career you can genuinely lovenot just another job? Do you love dogs, enjoy helping people, and want work that is rewarding, flexible... ...for the right person to join our team as a professional dog trainer. This isnt your typical 95.Dog training is a career and a...
...requested by Supervisors. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent. Related Work Experience: No related work experience. Supervisory Experience: No supervisory experience. License or Certification: None At Marriott...