Top Data Science Jobs in Dublin

Lead product vision, strategy, and roadmap for Claim Review products. Collaborate with engineering, AI/ML, analytics, and GTM teams to build data-driven, cloud-based solutions. Prioritize features, measure KPIs, ensure successful launches, and scale client-proven innovations while monitoring market and regulatory trends.

Lead product strategy and execution for Provider Education and Coding Advisor products, define vision and roadmaps, collaborate with engineering/AI/analytics, measure KPIs and ROI, drive go-to-market and scale client-proven innovations, and monitor market and regulatory trends.

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.

The Director of Data Science will lead the AI Enablement team, developing strategy, managing stakeholder relations, and ensuring the delivery of data science solutions.

The Head of Data Governance will establish data governance frameworks, ensure compliance, and oversee the anonymization of patient data for secondary research, collaborating closely with data management teams.

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.

Lead finance analytics, own the finance data warehouse and BI, build a reporting Center of Excellence, create and implement a Finance AI automation roadmap, optimize GCP costs, establish data pipelines and AI model foundation, ensure data governance and audit readiness, and manage a small cross-functional team to deliver self-service financial analytics.

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.

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.

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.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

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.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.