3 of 3 Data Visualisation Jobs in Glasgow

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 ❯

Job Title: Data Analyst Financial Crime Get The Future You Want! Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world … and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role: The Data Analyst - Financial Crime will be responsible for analyzing complex data sets to identify patterns, trends, and anomalies related to financial crime. This … role involves collaborating with cross-functional teams to develop and implement data-driven strategies for detecting and preventing financial fraud and other illicit activities. Data Analysis: Analyze transactions, accounts, customer data, and alerts to identify suspicious patterns and potential risks. Model Development: Design and More ❯

to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work … potential detection gaps, propose projects and ideas, and define and implement a plan to make them real. Analyze large datasets to extract complex data patterns. Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity … posts detailing your research findings. Minimum requirements: Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets More ❯