7 of 7 Predictive Modelling Jobs in Northern Ireland

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 … environment or completed a PhD with two years of suitable industry or research experience in a Data Science role. Strong Python skills with experience in Natural Language Processing and Predictive Modelling, alongside solid SQL capabilities. Experience in creating, deploying, and tuning complex, non-linear predictive models to solve business problems using Python and associated Data Science tooling. More ❯

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 … 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, fixes or updates. You … predict and prevent real-time events, reducing harm to the environment. This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This will involve working with customer data, understanding and appreciating the underlying domain, carrying out analysis, and integrating or developing More ❯

complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights ??Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the … the task. ??Familiarity with version control and other IT delivery tools is required ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience ??Exceptional written communications skills More ❯

with a strong background in data analytics. This role offers the chance to apply advanced ML techniques to real-world challenges within the utilities sector, delivering meaningful outcomes through predictive analytics. The successful candidate will join a growing data and modelling team, contributing to a cloud-based platform used to monitor and forecast network performance. This is a … for someone who enjoys exploring complex datasets, designing scalable data processes, and integrating intelligent features into production systems. Key Responsibilities: Work with time series and sensor data to develop predictive models Carry out exploratory data analysis and visualisation to uncover insights Collaborate with domain specialists to guide modelling strategies Lead integration of ML models into the main product More ❯

better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and … our modeling and machine learning results (and ultimately our business decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. This role will also manage projects of medium complexity. Job Description Key responsibilities: Uses best practices to develop statistical, machine learning techniques to build models that address business … and works on data and business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Understands the business' problems to identify the optimal modeling approach. Identifies languages and tools that can bring efficiencies or needed techniques to the team Utilizes effective project planning More ❯

managed endpoints, AKS or equivalent ??Experience with VCS ??Experience with CI/CD ??Understanding/identifying opportunity to apply machine learning knowledge to solve business problems ??Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Desirable skills ??Graduate or More ❯

driven solutions that help hotels optimize revenue and operations in real time. As part of a dynamic, independent division, this role will play a pivotal part in powering the predictive engine behind smarter pricing decisions. THE ROLE As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI … in the following: Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management to a capable and largely autonomous team Driving technical excellence and More ❯