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.

The Product Manager for AI/ML Solutions will manage product lifecycle, work in Agile teams, and improve business processes using AI/ML technologies.

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

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.

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 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 AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

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

The Vice President of Data Science leads strategic data science initiatives in healthcare, integrating analytics across clinical operations and influencing transformation efforts.

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 end-to-end delivery of multiple software projects by creating and managing plans, running agile ceremonies, tracking KPIs, coordinating distributed teams and stakeholders, mitigating risks, and ensuring on-time delivery using project management tools (Linear).

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.

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.

Lead design and implementation of advanced data science and statistical models for clinical research. Manage and mentor a team of data scientists, collaborate with clinical/biostatistics/regulatory teams, ensure regulatory-compliant data management and analysis, drive ML and predictive analytics innovation, and communicate findings to stakeholders to support clinical development decisions.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

Lead clinical data science workstreams across multiple low-to-moderately complex studies, develop and implement data management strategies, oversee data review and analysis, ensure regulatory compliance and data quality, provide stakeholder guidance, manage timelines/resources/financials, and mentor less experienced colleagues.

Lead development of advanced ML and deep learning methods for drug discovery. Design, implement, and scale AI models and foundation-model adaptations, collaborate with scientists to translate outputs into hypotheses, track model impact, and drive cross-functional adoption of AI solutions.

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.

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