Top Data Science Jobs in Dublin

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.

Own the vision and roadmap for a foundational agentic AI capability. Define its reasoning, generation, decision models, taxonomy, and knowledge structures; translate ambiguous problems into product requirements; and partner with data science and ML teams on model behavior and inference design. The role requires representing progress to senior stakeholders and shaping AI-first product standards across the organization.

Leads Global Supply Chain Decision Intelligence initiatives, translating critical business decisions into models, tools, governance, and adoption plans. Partners with AI, data, process, IT, and business teams to implement analytics, optimization, simulation, digital twins, and AI-enabled decision support. Manages cross-functional projects, roadmaps, risks, KPIs, stakeholder communication, training, and governance while improving decision quality, transparency, speed, trust, and measurable business outcomes.

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

Oversee end-to-end clinical data science programs, including planning, resource allocation, budgets, timelines, risk management, and delivery milestones. Coordinate data scientists, statisticians, clinical researchers, clients, and cross-functional teams. Provide guidance on clinical data management, systems, methodologies, regulations, and data risk. Manage escalations, financial performance, reporting, proposals, and client partnerships while mentoring teams and supporting strategic clinical data science plans.

Develop GreyNoise’s cybersecurity channel business across Europe by recruiting and activating partners, building joint business plans, enabling partner teams, generating qualified pipeline, and co-selling enterprise and government opportunities. The role manages partner relationships, channel strategy, revenue targets, forecasting, commercial negotiations, partner reviews, technical enablement, demand generation, and cybersecurity event representation.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Manage Independent Data Monitoring Committee and endpoint adjudication projects for clinical trials. Responsibilities include planning schedules and budgets, coordinating innovation, data science, and technology teams, monitoring risks and progress, communicating with stakeholders, and supporting emerging technology integration. The role requires strong project management, organization, communication, and cross-functional collaboration skills, with endpoint adjudication experience preferred.

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.

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 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.

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