7 of 7 Data Visualisation Jobs in Oxfordshire

accommodate the delivery of our expanding workload in support of the broader growth of the business. Linked to the steady growth of the business, we are evolving our data architecture to offer a modern data service with new data sources coming online and redeveloping our data warehouse to align with our projected … growth. The current team is small so the role will have exposure to colleagues across Ridge, representing the Data and Analytics team in conversations across the entire business' data estate. Therefore, the role has a broad scope of responsibility, requiring the individual to own projects themselves and deliver end-to-end solutions, with support and discussion … and across the business Requirements: Proficiency in SQL, including competency to independently design and implement data models to support reporting and analysis Experience in data visualisation (particularly Power BI) is advantageous Experience in MS Fabric is noteworthy but not expected Experience managing personal workload and independently owning projects from start to completion Ability to translate More ❯

An exciting opportunity has opened up at one of the UK's fastest-growing independent media agencies. An Analytics Engineer is needed to help shape the future of data in a business where performance, innovation, and impact come together. You'll sit at the heart of the Marketing Intelligence team, transforming complex data into clean, trusted … Contribute to and 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 … 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, or advertising data. The More ❯

Lead Data Analyst page is loaded Lead Data Analystremote type: Hybridlocations: Oxford, GBRtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R Job Description: Lead Data Analyst Location: Oxford, GBROur mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who … learning. Bring your experiences, your perspectives, and your passion; it's in our differences that we empower the way the world learns. About the Role: As a Lead Data Analyst in Marketing Data & Analytics team, you will play a crucial role developing important datasets that influence strategic decision-making, shed light on campaign performance for our … ensure the success of our Lead Scoring reporting in uncovering new contacts and assessing conversion potential. We're looking for a creative thinker, someone who can turn disparate data tables into valuable information and use it to develop insights and data storytelling that is clear and accessible to stakeholders. We have a rich data More ❯

developing ML and/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 in ML, mathematics, or More ❯

bespoke web platforms and digital tools for a wide range of clients. Their mission is to create systems that empower businesses by combining intuitive design, intelligent automation, and data-driven insight. You’ll join a close-knit, collaborative team where your ideas are valued and your work makes a visible impact. Developers are trusted to take ownership of … HTML, CSS, Vanilla JavaScript (no front-end frameworks required) SQL Server Azure (App Services, Databases, DevOps) Version control (Git), Agile practices, code reviews Experience with automation, data visualisation, or AI-enabled products is a plus but not essential. What We're Looking For Solid understanding of full-stack development using C# and ASP.NET Experience delivering complete web More ❯

for Advanced Materials - Oxford/Remote (UK) (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 … fit right in. Company Noir Qualifications Senior (5+ years of experience) Experience with 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. Benefits Competitive salary with annual performance based bonuses Equity options - share in the company's long More ❯

for Advanced Materials - Oxford/Remote (UK) (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 ❯