Data Scientist TLNT1_NI

Job description. Data Scientist Location: Belfast (Hybrid working) Contract: Permanent This is an exciting opportunity to join a growing Data & Analytics function where data genuinely drives decision-making. You'll work closely with senior stakeholders across the business, helping turn complex problems into practical, data-led solutions that make a real impact. You'll be part of a supportive, values-driven environment where people are trusted to do great work, encouraged to innovate, and supported to grow both technically and professionally. Why join? * Hybrid working that supports flexibility and balance * Strong focus on learning, development, and career progression * Competitive bonus and a broad benefits package * Collaborative culture built on trust and community What you'll be doing: * Partnering with business teams to identify high-impact data opportunities * Leading end-to-end data science projects, from problem definition to production * Building, testing, and deploying statistical and machine learning models * Working with structured and unstructured data to generate actionable insights * Supporting production models with monitoring, evaluation, and continuous improvement * Using visualisation and reporting tools to communicate insights clearly * Contributing to data science best practices, MLOps, and agile delivery What you'll bring: * A degree in Computer Science, Data Science, Engineering, or similar * Strong commercial experience in Data Science, Analytics, or Machine Learning * Solid skills in Python, SQL, and modern data platforms (e.g. Databricks) * Experience with statistical modelling and machine learning techniques * Exposure to MLOps, ML Flow experimentation, and model monitoring * Comfortable working in an agile, fast-moving environment * Clear communication skills and a collaborative mindset Interested? If you enjoy owning complex technical projects and working closely with customers, get in touch with Justin Donaldson to find out more. Skills: SQL Python data science databricks azure