Top AI & Machine Learning Jobs in Dublin

Conduct analytic research for Mastercard’s Test & Learn platform, developing machine learning, causal inference, generative AI, and agentic AI solutions for complex business problems. Collaborate with product management, engineering, and business leaders to translate research into scalable products and commercial solutions. Analyze high-volume datasets, influence business decisions, manage cross-functional workstreams, communicate findings, and mentor teammates.

Conduct analytic research for Mastercard’s Test & Learn platform, developing innovative data science methods and scalable solutions for complex business problems. Collaborate with product management, engineering, and business leaders to identify customer needs, guide implementation, and influence commercial decisions using machine learning, causal inference, and generative or agentic AI. Manage cross-functional workstreams, communicate effectively with stakeholders, solve problems, and mentor teammates.

Conduct analytic research for Mastercard’s Test & Learn platform, developing novel data science methods involving machine learning, causal inference, and generative or agentic AI. Collaborate with product management, engineering, and business leaders to translate research into scalable commercial products that solve customer challenges. Influence business decisions using high-volume datasets, manage cross-functional workstreams, communicate findings, and mentor teammates.

Conducts analytic research for Mastercard’s Test & Learn platform, developing novel data science methods and scalable solutions. Applies machine learning, causal inference, and generative or agentic AI to high-volume datasets and commercial problems. Collaborates with product management, engineering, and business leaders to guide product implementation, solve customer needs, manage cross-functional workstreams, and mentor teammates.

Research and develop innovative data science methods for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume datasets and commercial challenges. Collaborate with product management, engineering, and business leaders to translate analytical ideas into scalable products, guide implementation, solve customer needs, manage workstreams, and mentor teammates.

Research and develop innovative data science methods for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume business problems, translate research into scalable products, collaborate with product and engineering teams, and influence strategic decisions through advanced analytics.

Conduct analytic research for Mastercard’s Test & Learn platform, developing innovative data science methods and scalable solutions for complex business challenges. Collaborate with product management, engineering, and business leaders to identify customer needs, guide implementation, and influence commercial decisions using high-volume datasets. Apply machine learning, causal inference, generative AI, and agentic AI while mentoring teammates and managing cross-functional workstreams.

Conduct analytic research for Mastercard’s Test & Learn platform, developing machine learning, causal inference, and generative AI solutions for complex business problems. Collaborate with product management, engineering, and business leaders to translate research into scalable products and commercial solutions. Apply innovative analytics to high-volume datasets, guide implementation, manage cross-functional workstreams, communicate findings, solve problems, and mentor teammates.

Research and develop innovative data science functionality for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume datasets and commercial problems. Collaborate with product management, engineering, and business leaders to translate analytical concepts into scalable products and solutions. The role also requires strong communication, project management, problem-solving, and mentoring skills.

Conduct analytic research for Mastercard’s Test & Learn platform, developing novel data science methods and scalable solutions for business experimentation and optimization. Collaborate with product management, engineering, and business leaders to identify customer needs, guide implementation, analyze high-volume datasets, and influence commercial decisions. The role requires machine learning, causal inference, generative or agentic AI experience, strong communication, project management, and mentoring skills.