World Wide Technology (WWT), a global technology integrator and IT solutions provider. World Wide Technology, established in 1990 in St. Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in various sectors. With over 10,000 employees globally, we generate $20 billion in annual revenue and operate in regions including the US, UK, Canada, Europe, Costa Rica, APAC, and Middle East. We're proud to be consistently recognized as a top employer by Fortune and Glassdoor for over 13 years.
World Wide Technology Holding Co, LLC (WWT) has an opportunity for a
Data Scientist. Below is the JD for the role. Please help me with the information needed to process your application, and I will contact you to discuss the role.
This is a contract Role & Inside IR35
Data Scientist
Contract Duration:
6 months!
Location: Moorgate,United Kingdom (Hybrid)
Job Description
WWT has an opportunity available for a Data Scientist or Data Engineer with a strong background in Machine Learning (ML) or Artificial Intelligence (AI) to join our clients risk and security team. This role is critical in 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 ideal candidate 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.
- Bachelors or Masters 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).
Why Join?
- Work on cutting-edge AI systems with a focus on ethical and secure deployment.
- Collaborate with a multidisciplinary team shaping the future of AI risk management.
- Be part of an environment that values technical excellence and clear communication.
