Top Data Science Jobs in Dublin

Leads the vision, strategy, and execution of AI-powered data and analytics capabilities for Medical Affairs. Oversees patient journey analytics, advanced segmentation, stakeholder evaluation, data architecture, governance, and AI automation frameworks. Evaluates external innovations, builds proprietary solutions, manages analytics delivery teams, and advises senior leadership on data investments, innovation roadmaps, compliance, ethics, and competitive advantage.

Own the growth marketing strategy and experimentation roadmap for a self-serve developer journey, emphasizing monetization, engagement, conversion, retention, and expansion. Lead experiment prioritization, campaign quality, KPI analysis, and cross-functional alignment with Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations. Coach growth marketers, provide hands-on feedback, identify emerging growth opportunities, and communicate performance and recommendations to senior leadership.

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

Manage EMEA Security Operations Center analysts supporting 24/7 incident investigation, containment, and response. The role owns regional shift coverage, operational processes, playbooks, quality assurance, analyst training, career development, and service-level performance. It partners with Product, Support, and security teams to improve workflows, automate analyst capabilities, operationalize new services, and track OKRs. The manager also provides technical leadership, stakeholder guidance, and participates in public speaking engagements.

Lead product strategy and execution for Mastercards next-generation disputes platform. Define vision, prioritize roadmaps, partner with executives and engineering, embed AI and automation, drive cross-functional alignment, and scale platform capabilities to improve dispute resolution, customer outcomes, and operational efficiency.

Lead strategic product domains for Mastercard's next-generation disputes platform. Define vision, prioritize roadmaps, drive AI-enabled automation, partner with engineering/data/design, engage executives and customers, and scale platform capabilities to improve dispute resolution, operational efficiency, and customer outcomes.

Lead strategic ownership of Mastercard's next-generation disputes platform, define product vision and roadmaps, drive AI-enabled capabilities, prioritize cross-team backlogs, partner with execs/stakeholders, and scale platform adoption and operational automation.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define vision, prioritize roadmaps, drive AI-enabled automation and analytics, partner with engineering, design, and stakeholders, and scale platform capabilities globally to improve customer outcomes and operational efficiency.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define domain vision, prioritize multi-team roadmaps, drive AI-enabled capabilities, partner with engineering, data science, and stakeholders, and influence executive investment decisions to scale platform modernization and improve dispute resolution outcomes.

Lead strategy and execution for Mastercard's next-generation disputes platform. Define domain vision, prioritize roadmaps, own large-scale product backlogs, and drive AI-enabled automation and predictive decisioning. Partner with engineering, data science, design, and executives to deliver scalable platform capabilities, influence investments, and scale global product initiatives while coaching product teams and ensuring customer-centric outcomes.

Lead strategy and execution for Mastercard's next‑generation disputes platform. Own product vision, roadmaps, and large-scale backlogs; drive AI/automation adoption; partner with engineering, data science, design, and stakeholders; influence executive investment decisions; and scale platform capabilities that improve customer outcomes, operational efficiency, and platform adoption.

Lead product strategy and execution for Mastercard's next-generation disputes platform. Define platform domains, prioritize roadmaps, embed AI/automation, partner with engineering and stakeholders, and drive global product modernization and measurable business outcomes.

Lead and mentor a data science team developing machine learning systems for threat detection and agentic AI. Set ML technical strategy, standards, roadmaps, and deployment practices; guide projects from research through production; collaborate with security, engineering, and product teams; develop advanced malware and behavioral threat models; communicate insights; and contribute to research, publications, patents, and hands-on technical work.

Lead and manage a multidisciplinary software engineering team to design, build, and deliver scalable AI and quantum-infused payment products. Define requirements, drive agile execution, collaborate with data scientists and engineers, research and document solutions, and represent the team externally. Coach talent, enforce performance processes, and champion innovation and AI-assisted development across product lifecycles.

Lead a multidisciplinary engineering team to design, build and scale AI and Quantum-enabled payment solutions. Drive agile delivery, define requirements, productionize Python/Jupyter solutions, deploy on Kubernetes, mentor talent, and engage with internal and external innovation partners.

Lead and manage an agile software engineering team to design, build and scale innovative products that combine Quantum and AI/ML. Define requirements, drive project execution, collaborate with data scientists and engineers, and deploy solutions using Python, Jupyter and containerized virtual environments (including Kubernetes). Coach and grow talent, ensure compliance with standards, and represent the team externally.

Build Paddle’s data science function and production decisioning systems from the ground up. Prioritize high-value use cases, personally deliver the first ML or agentic system, and own deployment, monitoring, experimentation, reliability, governance, and financial impact. The role will establish the production ML stack, collaborate across Product, Engineering, Risk, Finance, and Compliance, then hire and lead data scientists and ML engineers. Experience with regulated transactional domains, production ML operations, experimentation, and executive stakeholder management is required.

Leads clinical data science delivery and team development, designing advanced statistical models and machine learning methods for clinical research. Oversees data analysis, management, regulatory compliance, and trial optimization while collaborating with clinical, biostatistical, and regulatory teams. Communicates complex insights to senior stakeholders and external partners and drives innovation across clinical development programs.

Lead GTM strategy and product positioning for key products, create messaging and content, run campaigns and launches, analyze market and competitive trends, and collaborate cross-functionally to drive adoption, pipeline growth, and customer engagement.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

The Head of Data Ops and Systems leads technology infrastructure and data capabilities, ensuring systems are reliable and secure while overseeing data management and compliance.

Lead complex data analyses and data science projects using big data technologies. Develop systems, applications, and visual dashboards; assess system usage; improve data quality and processes; and build tools that address security threats and improve network reliability. Communicate technical findings to nontechnical audiences and guide peers through analytical methods, technologies, and system usage.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Maintain and develop the portfolio management system and its logic; mine and analyze company data; build monitoring tools for model performance and data accuracy; enhance data collection; design dashboards and reports; gather stakeholder requirements and deliver complex analyses to support strategic decisions; handle ad-hoc requests and provide team support.