4 of 4 Remote/Hybrid Part-Time Data Science Jobs

client is a global aerospace, defence and security company. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability … scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming ...

client is a public sector technology consultancy. Description Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They … make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at our client As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support ...

benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact Our Principal Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority … people manager, youll guide engineering teams through the full data lifecycletransforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work ...

economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between … Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will ...