1 to 25 of 52 Visualisation Jobs in the South West

functions. Strong grasp of agile delivery methods (e.g. sprint planning, backlog management). Strong background in developing and managing reporting frameworks aligned to business performance management. Expertise in data visualisation tools, data modelling, dashboard development and reporting automation. Proven ability to lead and develop analyst teams, including recruitment, coaching and capability building. Excellent stakeholder management skills, able to balance framework More ❯

Expert in data manipulation and analysis to provide actionable insights. Strong experience with SQL is a requirement, use of notebooks/python would be desirable Prior experience using data visualisation tools such as PowerBI, Tableau, Looker etc. Proficient at prioritising workloads effectively and using planning and collaboration tools e.g. JIRA, Confluence & Miro Knowledge and interest in financial services and products More ❯

in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data Science, Business Analytics, or similar. More ❯

in data analysis and management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data Science, Business Analytics, or similar. More ❯

management within the industrial or manufacturing industry. Good knowledge around any of the following modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data Science, Business Analytics, or similar. More ❯

willing to learn) in the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data More ❯

willing to learn) in the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data More ❯

Description 5 Months Fixed Term Contract The D&BI team works on allowing integration, transformation and visualisation throughout MO, allowing the organisation to maximise on the power of its data. The successful candidate would be: Working in an agile scrum team to design and build data feeds and related applications Writing, testing and peer review of ETL code in Oracle More ❯

production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use of AI and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or More ❯

or insight leadership role. Strong understanding of customer experience, personalisation, or decisioning platforms. Expertise in defining measures of success, measurement taxonomies, and outcome frameworks. Proficiency in data analysis and visualisation tools (e.g. SQL, Looker, Power BI, GCP). Ability to influence and collaborate across a range of team members. Excellent communication and storytelling skills, with a focus on clarity and More ❯

at least one non-SAP data platform, ideally Snowflake or Databricks Knowledge of ETL tools like SAP Data Services, Matillion, Fivetran or SNP Glue Hands-on experience with data visualisation tools such as Power BI (including data modelling and extraction) Hands-on experience with SAP Analytics Cloud Functional understanding of core modules within SAP S/4HANA Industry specific knowledge More ❯

third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience More ❯

relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle More ❯

documentation. Applicants should have a STEM degree and ideally an understanding of exposure management principles and application. Additionally, excellent analytical and data skills, Microsoft Excel abilities, experience of data visualisation tools and the ability to potentially code in R and/or Python will be advantageous. Core attributes required for this role include an enthusiastic team player, motivated self-starter More ❯

and reporting tools, systems such as NICE, Verint, Call Miner or similar. Knowledge of how to create visually appealing reports in Excel, Power BI, or Tableau. Knowledge of data visualisation techniques and best practices. Proven presentation skills- both verbal and written Stakeholder management - able to work effectively with key business and client stakeholders Excellent Leadership and Stakeholder Management skills. Good More ❯

system improvements across reporting, performance, and user experience. Who We're Looking For Experience .. Supporting a business-critical system with 250+ users. Strong understanding of reporting and data visualisation, ideally within performance or operations reporting. Technical proficiency in MS SQL, Crystal Reports, and XQuery. A collaborative mindset with a proactive, solutions-driven approach. Excellent attention to detail and problem More ❯

most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If your a Machine Learning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing valuable solutions to some of the world's More ❯

and external stakeholders What Are We Looking For? We are seeking individuals with experience in one or more of the following areas: Building and designing scalable data platforms Data visualisation and techniques for data extraction Machine learning and advanced data analytics Proficiency in programming languages such as Python, Java, or C++ DevOps techniques and cloud technologies Agile methodologies and team More ❯

on CAN/FlexRay/LIN/Ethernet Communication protocols, including use of CANoe and CANalyzer for HV system analysis, diagnostics and test automation. Experience in data analysis and visualisation tools and platforms including AVL Concerto, CANalyzer, Tableau, Minitab Experience with automotive network interface tools (such as Vector CANalyzer/CANape/CANoe, INCA, VehicleSpy). Comprehensive understanding of High More ❯

actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem. Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation. Translate complex More ❯

actionable. Architect Scalable Data Solutions: Design and implement enterprise-grade data pipelines and architectures using AWS services (e.g. Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem. Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation. Translate complex More ❯

using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisations analytics ecosystem. Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation. Communicate with Impact More ❯

using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation’s analytics ecosystem. Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation. Communicate with More ❯

using AWS services (e.g. S3, Glue, Lambda, Redshift, EMR, Kinesis), optimised for analytics and scalability. Set Technical Direction: Define and guide technical decisions related to data conceptualisation, modelling, and visualisation within the organisation's analytics ecosystem. Champion Data Governance and Access: Drive visibility into data usage and access, ensuring secure, compliant, and transparent data practices across the organisation. Communicate with More ❯

analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune More ❯