Simon James I.T. Ltd

SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer - 12 Month Contract London (Waterloo) - Hybrid - 12 Months We are currently seeking an SC Cleared Data Scientist/Senior Data Scientist/Solution Engineer for an initial 12-month contract based in Waterloo, London (Hybrid working pattern). This is a high-impact role sitting at the perfect intersection of advanced machine learning and robust software engineering. You will be responsible for designing, building, and deploying scalable industrial-grade ML applications (such as fraud detection and predictive maintenance) within highly secure, regulated sectors. Key Responsibilities Algorithm Design: Design and deploy scalable Machine Learning algorithms tailored for industrial applications. Full-Stack Data Engineering: Analyse, cleanse, and normalise complex time-series data and dynamical systems. Production Deployment: Integrate and deploy software/models into leading cloud environments using modern JavaScript frameworks. Agile Collaboration: Work within an Agile methodology, ensuring high proficiency in data structures and algorithm design. Technical Requirements & Skills To succeed in this role, you must hold active SC Clearance and possess a blend of the following engineering and data science capabilities: Core Programming: Strong software development experience across Python, JavaScript, and Java . Frontend Frameworks: Hands-on experience with modern JS frameworks (React, Redux, Vue, Angular, or Backbone). Cloud Platforms: Proven track record of deploying software to at least one primary cloud provider ( AWS, GCP, or Azure ). Data & Streaming: Deep understanding of SQL/NoSQL databases, alongside scalable ML frameworks (MapReduce, data streaming). Methodologies: Solid proficiency with Git version control and Agile software development delivery. Domain Exposure: Prior experience or domain expertise in secure/industrial sectors (eg, Aerospace, Financial Services, Gov/Public Sector, Defence, Power & Utilities, or Supply Chain). Portfolio: A demonstrable portfolio of projects (GitHub, technical papers, etc.) is highly advantageous. Key Skills: SC Clearance, Python, JavaScript, Java, Time Series, Machine Learning, AWS/GCP/Azure Please Note: Active UK SC (Security Clearance) is mandatory for this position due to the secure nature of the industrial environments and data systems involved.

We require an Azure cloud Security Architect with recent experience in data fabric environments. You must hold current active SC clearance. The architect will lead the development of security reference architectures for Azure, including secure landing zones, network segmentation, and identity and access management using Azure Active Directory, RBAC, and Privileged Identity Management. The role encompasses the integration of Azure-native security tools such as Defender for Cloud, Sentinel, Key Vault, and managed identities, ensuring encryption of data at rest and in transit, and secure deployment of services like Azure Data Lake, Synapse Analytics, Databricks, and Cosmos DB. For Data Fabric environments, the Security Architect will define and enforce security patterns for distributed data platforms, including Data Mesh, Master Data Management (MDM), Data Quality, and ETL/ELT pipelines. Responsibilities include implementing data lineage, classification, and access controls across hybrid and multi-cloud landscapes, and designing privacy, retention, and compliance frameworks aligned with regulations such as GDPR, ISO 27001, and NIST. Preferred Skills & Experience 11+ years in security architecture, cloud security, or data platform security roles Hands-on experience with Azure security tools and services Strong knowledge of data governance, privacy, and compliance frameworks Experience with Data Fabric, Data Mesh, MDM, and distributed data platforms Familiarity with DevSecOps, automation, and CI/CD security integration Excellent communication, stakeholder management, and documentation skills