3 of 3 Data Visualisation Jobs in Oxford

on technical innovation, strategic racing, and continuous improvement both on and off the track. We are looking for a passionate and technically capable Data Engineer to join our engineering group to help drive performance through data. Position Overview As a Data Engineer, you will play a … key role in acquiring, managing, and analyzing large volumes of motorsport and telemetry data to provide actionable insights that enhance car performance, reliability, and race strategy. Working closely with race engineers, performance analysts, and the broader technical team, you’ll support data systems during race weekends … preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of motorsport operations and vehicle dynamics is a strong advantage. Experience with version More ❯

for Unsecured Personal Loans, Oodle's newest and fastest-growing financial product, to include in our expanding team. Dive into a world of data, strategic analytics, and profitability-driven initiatives, reporting into the Credit Risk and Profitability function. You'll be influencing our approach to driving profitable originations … decision-making. Drive initiatives to enhance Oodle's pricing strategies, making use of both internal and external datasets. Delve into Oodle's portfolio data, ensuring our agreements consistently meet performance standards. Contribution to refining view of new origination unit economics. Drive strategic initiatives in credit risk management, optimizing … and FinTech. Experience with Microsoft packages, in particular Excel and PowerPoint. Experience with coding (SQL/Python), data processing, data visualisation, credit risk is advantageous. However, this is not a requirement. Experience with Excel modelling would be considered positive. Our values are our personal brand More ❯

the future of medicine, we want to hear from you. Role Overview: As a Bioinformatician, you'll work at the intersection of biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. … Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies and treatments. Key Responsibilities: Analyze and interpret genomic, transcriptomic, proteomic, and clinical data to support drug discovery projects. Develop and optimize bioinformatics … tools and pipelines for high-throughput data analysis. Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify More ❯