Job Type: Contract Work Period: Hybrid (3 days onsite per week) Duration: Until December 2025 (Possibility of renewal) Location: Central London, near Liverpool Street Station Take the Lead in Data Science and CI/CD Integration We are seeking a skilled and experienced Data Scientist / Data Modeler to support a client on a project. This hybrid contract position involves close collaboration with engineering teams and regular presence at the office in Central London. Role Overview As a Data Scientist, you will: • Configure and optimize Nexus Lifecycle, including integration into CI/CD pipelines • Manage Maven POM configurations, handling dependency management and plugin setup • Deploy and scale workloads using Azure Kubernetes Service (AKS) • Apply best practices in Kubernetes scaling and autoscaling in production environments • Contribute to Azure migration efforts and cloud-native architecture • Develop and maintain automation scripts using Bash, Shell, or similar • Configure and manage GitLab pipelines for CI/CD workflows • Implement Git and CI configuration best practices • Collaborate with engineering and DevOps teams to ensure secure, scalable deployment pipelines • Your Expertise • Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations • Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP • Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries • Familiar with ML Ops, model development workflows, and feature engineering techniques • Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search • Adept with software development methodologies, code versioning (e.g. GitLab), and project tracking tools (e.g. JIRA) • Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial • Education & Experience • Qualifications: Degree in Computer Science, Engineering, or a related field • Experience: Proven background in data science or modeling roles within DevOps or cloud-focused projects • The Next Step If you bring solid experience in planning and risk and are ready to contribute to a world-class gas development project, we want to hear from you. Even if your background isn’t a perfect match, we welcome candidates with strong transferable skills. Apply now with your updated CV or contact Mylena Marques at mylena.marques@airswift.com