We’re looking for a Data Scientist to join a growing, product-led technology team working with large-scale, complex datasets to deliver intelligent, automated insights at scale.
This role sits at the intersection of advanced analytics, machine learning, and real-world operational data. You’ll work end-to-end — from deep exploratory analysis through to production-ready models — helping translate data into measurable, high-impact outcomes.
The Role
You’ll work with rich, high-volume datasets and develop scalable analytical and machine learning solutions that support optimisation, prediction, and decision-making. This is a hands-on role suited to someone who enjoys problem-solving, experimentation, and turning ambiguity into clear, actionable insight.
You’ll collaborate closely with engineers, product teams, and stakeholders to ensure data-driven solutions are practical, robust, and aligned to real needs.
Key Responsibilities
* Perform deep statistical analysis and interrogation of complex datasets
* Design, build, test, and deploy end-to-end data science workflows
* Develop advanced analytics frameworks that deliver actionable insights
* Translate exploratory analysis and R&D concepts into production-ready models
* Build and evaluate machine learning models across a range of techniques
* (e.g. regression, classification, clustering, anomaly detection, time series)
* Design experiments and model evaluation approaches to optimise outcomes
* Select appropriate analytical techniques based on use-case requirements
* Collaborate with cross-functional teams to turn business needs into data-led solutions
* Communicate complex findings clearly to both technical and non-technical audiences
* Contribute to internal best practices, documentation, and reusable components
* Stay current with developments in machine learning and data science techniques
* Conduct research, prototypes, and proofs of concept for emerging approaches
* Strong analytical mindset with a passion for extracting insight from data
* Proficiency in Python or R and relevant libraries (e.g. pandas, NumPy, scikit-learn, TensorFlow or similar)
* Commercial experience working as a Data Scientist on real-world problems
* Solid grounding in statistics and machine learning techniques
* Experience deploying models into production or cloud-based environments
* Familiarity with version control tools (e.g. Git)
* Experience working in agile, cross-functional teams
* Comfortable working with ambiguity and evolving problem spaces
* Curious, self-motivated, and proactive in identifying opportunities
* Strong communication skills and a collaborative mindset
What’s on Offer
* Fully remote role across Northern Ireland
* Salary up to £75,000
* Opportunity to work end-to-end on meaningful, production-grade data science
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