13 of 13 Predictive Modelling Jobs in the South West

Experience working with cloud-based analytics environments. Exposure to GCP would be beneficial but is not essential. Python experience. Knowledge of statistical techniques and predictive modelling. Ideal Candidate A true data storyteller rather than someone focused solely on reporting and dashboard creation. Comfortable working directly with stakeholders and influencing ...

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 ...

similar. Excellent stakeholder management and communication skills. Commercial awareness and the ability to turn data insight into business outcomes. Nice to Have: Knowledge of predictive modelling, pricing, enrichment, or customer analytics. Exposure to machine learning and advanced statistical techniques. Benefits: Hybrid working & flexi-time Annual bonus opportunity. ...

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 ...

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 ...

future of our data capabilities.Key ActionsWork closely with our Data Engineering team to deliver reliable, high-quality data that powers impactful data flows and predictive models, confidently contributing ideas and solutions along the way. Use a range of languages and tools to design, build and manage robust data pipelines ...

within the Data and Insights function, you'll provide expert analysis of the student recruitment pipeline, from enquiry through to enrolment, using forecasting, scenario modelling and performance insight to identify risks, highlight opportunities and support informed decision-making across Recruitment, Admissions, Marketing and Academic teams. What … functions. Experience with CRM systems, applicant data or student recruitment platforms would be advantageous, as would knowledge of international student recruitment, marketing analysis or predictive modelling techniques. Why BIMM University We are a values-led organisation, meaning our core values underpin all that we do: Believe in Everyone ...

applied in SAM processes, particularly in automating data analysis, trainings, contract analysis, service desk automation, chatbots, pattern recognition, and predictive modelling for more efficient and data-driven software asset management.Possession of relevant certifications, such as Certified Software Asset Manager (CSAM) or Certified IT Asset Manager (CITAM), CIS-ServiceNow ...

Data Scientist IIIExcited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data About the team:LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing ...

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. Key Actions Apply data science, machine learning and AI techniques to improve underwriting and claims decision-making, customer outcomes and business performance Develop predictive models, analytical tools and dashboards that provide actionable insights and support operational excellence Work with complex and diverse data sources to identify trends, risks … solve complex business problems Strong SQL and Python skills with the ability to analyse, manipulate and model large datasets Experience developing and deploying predictive models within a commercial environment Ability to translate complex analysis into clear, actionable insights for a range of stakeholders Strong stakeholder management skills with experience ...

Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data About the team -LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity … architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy.Evaluate and recommend AI technologies, modelling approaches, and platform components.Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations.Author and maintain ...

into the organisation. Key Actions Work closely with our Data Engineering team to deliver reliable, high-quality data that powers strong data flows and predictive models Use a range of languages and tools to build and manage robust data pipelines across multiple systems Contribute to key decisions that drive … data lakes (on-prem & cloud) Hands-on with Big Data tools, data ingestion and streaming Experience working with data lakes and visualisation (incl. semantic modelling) Strong understanding of data architecture Confident stakeholder engagement and cross-team collaboration Passion for sharing knowledge and supporting team development So, what ...