Top Data Science Jobs in Dublin

As a Data Science Intern, you'll analyze customer journeys, build dashboards, and provide insights while collaborating with cross-functional teams.

The Solution Design Associate Director will translate business challenges into innovative solutions, lead technical teams, and enhance business operations through strategic design and project management.

Responsible for managing data management aspects of clinical studies, ensuring quality deliverables and compliance with industry standards, while leading functional activities and collaborating effectively with teams.

Lead the design and implementation of advanced machine learning models, collaborating with cross-functional teams to optimize services and enhance customer experiences.

The Principal Clinical Data Scientist manages Data Management for clinical studies, ensuring compliance with good practices, leading quality deliverables, and implementing training strategies.

The Principal Clinical Data Scientist manages data management for studies, leads quality deliverables, ensures compliance with GCP, and develops training strategies. They also coordinate data managers, handle risk management strategies, and participate in audits and inspections.

The role involves leading clinical data management tasks, ensuring quality and compliance in data for clinical trials, collaborating with teams, and supporting junior staff.

The Director of Pipeline Intelligence and Reporting drives data analysis and reporting to influence strategic decisions in drug development, ensuring efficient pipeline management and collaboration across teams.

Lead the development of data science models for fraud risk management, collaborate with stakeholders, ensure data quality, and mentor junior scientists.

The Sr Manager, Data Science will lead complex projects, develop data models, collaborate with leadership, mentor teams, and ensure data governance.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

This role is for graduates to begin their career in Data Analytics and AI. You will assist in client projects and gain diverse experience in a supportive environment with continuous learning opportunities.

This is a student position focused on data transformation projects involving hyper-automation, data science, analytics, and digital user experience.

The Principal RWD Strategy Lead develops RWD strategies for client projects, manages relationships with data providers, and oversees compliance with research regulations while mentoring junior staff.

Lead the design and evolution of data science systems focusing on computer vision and deep learning inference. Oversee architecture for cloud-based MLOps, provide technical leadership, and ensure solutions deliver customer value.

As Manager of Data Science, you will lead risk strategies, guide a team of Data Scientists, and collaborate on fraud prevention at PayPal.

Manage data science projects focusing on payment product launches, fraud risk management, and enhancing the user checkout experience.

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.

As a Data Science Manager, you will lead a team to develop innovative fraud detection solutions using advanced data science techniques. You will manage fraud risk strategies and ensure alignment with business objectives while collaborating with cross-functional teams.

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.

Lead a team of Forward Deployed Data Scientists to drive AI adoption and data-driven solutions for strategic customers, enhancing support operations.

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

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.