13 of 13 Predictive Modelling Jobs in the South West

advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with business … gathering, solution design, quality assurance, stakeholder updates and presentation of outputs. Your work will include designing, building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern ...

teams to transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering ...

Computer Science, Data Analytics, Economics, Statistics, Engineering, or a related field. Working knowledge of AI and machine learning methodologies, including supervised learning, unsupervised learning, predictive modeling, Generative AI, and Large Language Models (LLMs). Experience with data visualization, analytics, and reporting tools such as Tableau, Power BI, Qlik, Alteryx ...

capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers …/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics ...

Manage and enhance large datasets while ensuring strong data integrity, accuracy, and adherence to data management and governance best practices. Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. Stay current on industry trends and emerging data science technologies to continuously strengthen ...

engineering velocity. Requirements Key Responsibilities: Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling … Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus ...

regional or global brand. Experience collaborating cross-team to define data requirements, analyze product metrics, resolve data gaps. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems. Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into ...

understand problems, develop solutions and assess wider business impact. Build statistical models and machine learning approaches that turn data into decisions. Develop and deploy predictive models that solve business and operational challenges. Work with large and complex datasets from diverse sources. Create visualisations, dashboards and reporting tools that communicate ...

architecture , and AI/ML concepts — enough to scope work credibly and evaluate delivery quality Experience overseeing delivery of data and analytics solutions: dashboards, predictive models, segmentation, forecasting, or NLP/GenAI applications Familiarity with AI and ML use cases in Life Sciences : next best action (NBA), promotional response ...

capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. #J-18808-Ljbffr ...

partner with scientists, engineers, product teams and business stakeholders to turn complex data into solutions that solve real customer problems. From developing predictive models to improving analytical approaches and supporting decision-making, your work will have a direct impact on our products, customers and future growth. This role sits … clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight easy to use. Work closely with cross-functional ...

engineering or analytics professional looking to use your skills to support strategic decision-making? Do you enjoy transforming complex data into high-quality reporting, predictive insights and evidence-based recommendations that support strategic decision-making across the University? About the role This is an exciting opportunity for a business … reporting or analytics solutions. Strong data engineering and data management skills, including experience of data warehousing or data lake environments. Experience of developing forecasts, predictive models, dashboards and reports to support operational or strategic decision-making. A commitment to continuous improvement and delivering high-quality, customer-focused services. ...

Lifecycle including collation of software requirements, specification, design, implementation and testing. The team’s primary focus will be on supporting the Data Science and Modelling teams in turning data science and predictive models into bespoke, production software applications. The team will deliver these services into a wide range ...