Top Python Jobs in Dublin

Build and maintain scenario models evaluating manufacturer discounts and formulary strategies for Medicare. Extract, transform, and feature-engineer data; develop tracking reports and self-serve analytics; validate models; document reproducible methods; collaborate with stakeholders and cross-functional teams to align assumptions and translate business needs into analytical solutions.

The Principal Data Scientist will design and implement advanced data science solutions, lead cross-functional projects, and communicate insights to stakeholders within Payment Integrity operations.

Lead pricing strategy and analysis for healthcare networks, utilizing data to optimize pricing models and engage stakeholders. Implement automation and enhance workflow efficiencies.

The role involves applying advanced analytics in healthcare, developing coding solutions, collaborating with teams, and mentoring. Focus is on data science and improving healthcare outcomes.

The Technical Account Manager provides hands-on technical support and guidance to Datadog's customers, focusing on product adoption, IT Operations analysis, and maximizing customer satisfaction.

Deliver targeted technical training and foundational webinars to large customers, update and scale enablement content, partner with Sales and Customer Success, mentor new hires, collaborate with Product and Engineering for product feedback, run internal and in-person enablement events, contribute to team OKRs, and stay current on observability and DevOps practices while delivering high CSAT.

Design, implement, and support features for the MongoDB Atlas API Platform and developer tools (e.g., Atlas CLI). Build IaC tooling and integrations, work with cloud platforms, ship incremental features, investigate customer issues (Level 2 support rotation), and collaborate across distributed teams while mentoring peers.

Hands-on lead engineer building Agentic AI tooling, services, and reusable patterns. Design and implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience through automation, and partner with stakeholders to prototype and scale AI solutions across Mastercard.

Lead engineer to design and build agentic AI tooling, services, and reusable patterns. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, improve developer experience with automation and CI/CD, and collaborate with product and business stakeholders to prototype and scale solutions.

Design and build Agentic AI tooling, services, and integrations. Implement AI-enabled applications and developer-facing capabilities, evaluate models and frameworks, create reusable patterns, improve developer experience through automation, and partner across product and engineering to prototype, validate, and scale AI solutions.

Lead and manage a software engineering team delivering AI and quantum-enabled products, define scalable solutions, drive agile execution, collaborate with data scientists and engineers, and promote innovation and technical strategy from research to production.

Lead a multidisciplinary engineering team to design, build and deliver scalable AI and quantum-enabled payment products. Define requirements, drive project execution using agile and AI-assisted processes, mentor engineers, coordinate with data scientists, and represent the team internally and externally.

Build and ship AI-enabled applications, tooling, and platform services focused on agentic and generative AI. Design integrations, evaluate models and frameworks, improve developer experience via automation, and collaborate across product and engineering to prototype, validate, and scale solutions.

Lead and manage a multidisciplinary engineering team building scalable products that combine Quantum and AI/ML technologies. Drive project delivery using agile and AI-assisted processes, define requirements, design scalable solutions, engage external partners, and mentor engineering leaders to bring innovations to market globally.

Design and build Agentic AI tooling, services, and reusable patterns; implement AI-enabled applications and developer-facing capabilities; evaluate models and frameworks; improve developer experience via automation; partner across product and engineering to prototype and scale AI solutions.

Lead a multidisciplinary engineering team building scalable Quantum and AI/ML-enabled payment products. Define requirements, drive agile delivery, research/design solutions, manage projects, coach talent, and engage with external partners and events.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications and integrations, evaluate models, develop prototypes from concept to validation, and improve developer experience through automation and platform capabilities while partnering with product and business stakeholders.

Lead and manage a software engineering team in Mastercard Foundry R&D focused on Quantum, AI/ML. Define requirements, design scalable solutions, drive agile project delivery, collaborate with data scientists and engineers, deploy Python/Jupyter-based systems to production (including Kubernetes), and coach talent while promoting innovation.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, orchestrations, and integrations; evaluate models and frameworks; develop prototypes to production; improve developer experience through automation and platform thinking; partner across product, engineering, and business stakeholders.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI to products and developer workflows. Design and implement AI-enabled applications, evaluate models and frameworks, develop integrations and automation, improve developer experience, and partner with stakeholders to prototype and scale AI solutions.

Lead engineer role to build tooling, services, and reusable patterns for Agentic and Generative AI. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to deliver prototypes and production-ready solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design and implement AI-enabled applications and developer workflows, evaluate models and frameworks, develop integrations and platform capabilities, improve developer experience with automation, and partner with stakeholders to prototype, validate, and scale solutions.

Lead a multidisciplinary engineering team to design, build and scale Quantum and AI/ML-enabled payment solutions. Define requirements, drive agile delivery, deploy Python/Jupyter-based systems in virtual environments (including Kubernetes), collaborate with data scientists and UX, mentor engineers, and champion innovation from R&D to market.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.