4 of 4 Permanent Exploratory Data Analysis Jobs in Northern Ireland

Voluntary Benefits ??? Health Cash Plan, Dental, Will Writing etc ??Annual Leave ??? 23 days rising to 27 with length of service ??Sick Pay ??? Increasing with length of service Role overview:Data Scientist (Manchester or London, Hybrid working) As a Data Scientist you will have the opportunity to apply your skills to a wide range of business problems as part … of a core team of data scientists, engineers and analysts.We operate in small teams adopting a version of Agile that keeps us on a 2-week review cycle.Our objective is to deliver business value using an MVP approach that will then scale to a fully developed and realised solution. You will have the opportunity to work with a range … be operating across several business functions, solving a wide variety of problems which will involve changing context fairly often. We are looking for people that are both hands on Data Scientists and good communicators that enjoy working in a team environment.We will both delivering data science solutions, but also helping the business understand the opportunity data science More ❯

You'll bring the expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: Liberty IT's Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists … focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing … risk, and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science More ❯

Data Analytics and Machine Learning Engineer LOCATION: NI/Hybrid About StormHarvester: Our software solutions solve problems for water utilities. We use data, analytics, and machine learning to deliver insights to water networks and assets through SAAS and cloud-based services. We are expanding our team to improve our existing products and develop new modules. About the role … ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling team with a focus on improving our existing ML processes, aiming to understand behaviour in the water network and designing and integrating new data-driven strategies into existing products to help add insight for our customers. The … role will involve: Exploratory data analysis and visualisation Conceptualising solutions and presenting to internal stakeholders and external customers Integration of solutions into the product You'll work within the Data & Modelling team of 8-10 people but have ownership over individual projects, while also working within the larger development team to test and validate any features More ❯

expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from … complex data sources like aerial imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value, this is … Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing More ❯