5 of 5 Remote Visualisation Jobs in Oxford

/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive ...

/or deep learning models for scientific or engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree ...

used for data management, design optimisation, model integration, and production quality assurance. Key Responsibilities Design, develop, and maintain platforms for: Data management, traceability, and visualisation Predictive modelling and optimisation Material composition design Component design and build preparation Statistical process control and production quality assurance Work within an agile development team ...

Title - Data Analyst Location - Oxford & Hybrid (2-3 days a week) Salary - £45,000 - £65,000, Flexible dependant on experience Our client, a leading player in the financial services sector circa ~300 heads, is looking ...

evolve our Python tooling, adapting scripts and automations to support the wider data platform. ·Collaborate with teams across analytics, data science, and visualisation to make sure data is accessible, meaningful, and impactful. ·Take ownership of projects from design through to deployment, following agile best practices. You're a curious, proactive … with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines, ideally using GitLab CI. ·Background working with media, marketing ...