2 of 2 Permanent Data Visualisation Jobs in Banbury

Automotive experience essential* We’re supporting a market-leading organisation in their search for a Head of Data, Reporting & Insight, a senior role leading a key function within a growing, data-driven business. This position will define and deliver a data strategy that ensures CRM systems become a single source of truth across complex … ecosystems. You’ll be responsible for data governance, reporting frameworks, and actionable insight generation that drives smarter commercial and operational decision-making. Key Responsibilities Define and lead CRM data strategy across multiple client environments. Oversee CRM data quality, governance, and integrity. Develop and roll … out advanced Salesforce CRM Analytics and Tableau dashboards. Deliver monthly reporting and insight packs for internal and external stakeholders. Lead automation initiatives — moving from spreadsheets to data visualisation and AI-driven reporting. Provide insight that directly improves marketing effectiveness, sales performance, and customer experience . Ensure compliance with GDPR, information security, and client governance standards. Qualifications Automotive More ❯

Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs … chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from … some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of what More ❯