Contract: Data Scientist / Data Engineer Start: ASAP Duration: 6 months Rate: £550 a day (Deemed Inside IR35 via an Umbrella solution) Location: Hybrid with 3 days per week in Moorgate Reference: 19148 Immediate contract for an experienced Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to work on a project within a global Financial Services organisation within risk and security. Evaluating AI-driven applications and performing in-depth assessments of security controls and vulnerabilities, particularly in the context of large language models (LLMs) and other advanced AI systems. The Data Scientist/Engineer will blend deep technical expertise with strong communication skills, capable of translating complex AI and security topics into clear, actionable insights for stakeholders across technical and non-technical teams. Key Responsibilities • Conduct thorough technical reviews of AI/ML applications to identify potential vulnerabilities and risks. • Assess and evaluate AI security controls, including data integrity, model robustness, explainability, and compliance with governance frameworks. • Analyze risks in LLM and ALM (AI Lifecycle Management) environments. • Translate complex AI, ML, and security-related concepts for non-technical audiences. • Collaborate with cross-functional teams to recommend and implement mitigation strategies. • Stay up to date on emerging risks in AI/ML systems and continuously evolve the assessment methodology. Required Qualifications • Proven experience in AI/ML or data engineering, with hands-on application in a risk, compliance, or security-focused role. • Strong proficiency in Python and statistical analysis. • Familiarity with LLMs, ML pipeline management, and AI lifecycle tools (e.g., MLflow, ModelOps platforms). • Excellent communication and documentation skills for technical and non-technical stakeholders. • Bachelor's or Master's degree in Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. Preferred Qualifications • Experience working in AI governance, security risk assessment, or regulated environments (e.g., finance, healthcare). • Knowledge of responsible AI frameworks or security standards (e.g., NIST AI RMF, ISO/IEC 23894). • Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP AI Platform). Networking People (UK) is acting as an Employment Business in relation to this vacancy.