Top Data Jobs in Belfast

The Data Scientist will build and refine predictive credit models, analyze repayment data, and collaborate with teams to optimize credit strategies across African markets.

As a Senior Director Analyst, you'll research data management solutions, deliver presentations, support sales, and guide clients with actionable advice.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Principal Software Engineer will enhance product features, mentor team members, and handle a variety of technical challenges within the engineering team, focusing on quality and performance.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead the data strategy at Monzo, focusing on user engagement and evolving data practices. Collaborate with cross-functional teams and mentor data scientists.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

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.

As a Staff Data Scientist, you'll develop predictive models for cash flow, analyze diverse data sources, improve customer experience, and monitor model performance.

The Data Consultant role involves building and contributing to big data solutions, data lakes, ingestion pipelines, and using various storage methods. Key responsibilities include collaborating with a cross-functional team to enhance client data strategies.

Lead an agile delivery team in all aspects of the data and analytics lifecycle, designing scalable data platforms and solutions and influencing project success.

Lead Analytics Engineering for Monopoly GO! by defining strategy, managing data platforms, and leading a high-performing team. Responsible for driving insight and innovation through data initiatives and AI adoption.

The Lead Data Engineer will develop secure data platforms using various technologies, ensuring data integrity and alignment to target models, and enhancing data processing.

Lead the development of backend services for government clients, focusing on high availability and scalability, while collaborating in agile teams and maintaining deployment pipelines.

The Lead Data Architect will shape data strategy, design secure data architectures on AWS, mentor teams, and ensure compliance with regulations.

The VP, Product Data will define product telemetry strategies, build data models, lead analytics initiatives, and ensure governed data products for enhancing user insights, impacting learner outcomes.

The Director of Data Engineering will lead a team to build and maintain a scalable data platform while ensuring data quality and collaboration. Responsibilities include mentoring engineers, designing data pipelines, and enforcing engineering standards.

As a Data Engineer, you will design and build data pipelines, develop data transformation layers, and create lakehouse architectures for Fortune 500 clients while ensuring data quality and collaborating with clients on data needs.

Lead the Data Science & Machine Learning team, managing analytics projects, mentoring staff, and developing predictive models for Fortune 500 clients.

As a Data Scientist, you will own the analytics lifecycle, build predictive models, and deliver insights for Fortune 500 clients, enhancing decision-making across industries.

Lead the design and development of data infrastructure for various industries, mentor junior staff, manage projects, and establish data practices.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Data Product Owner will manage the entire data lifecycle, lead a team of engineers, and align product vision with business goals in a remote setting.

The Lead Data Scientist will set technical directions, oversee complex projects, mentor teams, and build relationships with clients while ensuring high-quality deliverables.