Data Scientist

WWT
London
6 days ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist

Senior Data Scientist

World Wide Technology (WWT), a global technology integrator and IT solutions provider,collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies worldwide. Established in 1990 in St. Louis, Missouri, WWT has over 10,000 employees and generates $20 billion in annual revenue, operating across the US, UK, Canada, Europe, Costa Rica, APAC, and the Middle East. We are recognized as a top employer by Fortune and Glassdoor for over 13 years.

WWT Holding Co, LLC (WWT) is seeking aData Scientistfor a6-month contract role, inside IR35.

Location:Moorgate, United Kingdom (Hybrid)

Job Description

WWT is looking for a Data Scientist or Data Engineer with strong expertise in Machine Learning (ML) or Artificial Intelligence (AI) to join our client's risk and security team. The role involves evaluating AI-driven applications and conducting in-depth assessments of security controls and vulnerabilities, especially related to large language models (LLMs) and advanced AI systems.

The ideal candidate will combine technical expertise with excellent communication skills to translate complex AI and security topics into clear insights for both technical and non-technical stakeholders.

Key Responsibilities

  • Conduct technical reviews of AI/ML applications to identify vulnerabilities and risks.
  • Assess AI security controls, including data integrity, model robustness, explainability, and compliance.
  • Analyze risks in LLM and AI Lifecycle Management (ALM) environments.
  • Translate complex AI and security concepts for non-technical audiences.
  • Collaborate with teams to develop and implement mitigation strategies.
  • Stay updated on emerging AI/ML risks and refine assessment methodologies.

Required Qualifications

  • Experience in AI/ML or data engineering within risk, compliance, or security roles.
  • Proficiency in Python and statistical analysis.
  • Knowledge of LLMs, ML pipeline management, and AI lifecycle tools (e.g., MLflow, ModelOps).
  • Strong communication and documentation skills.
  • Bachelor's or Master's degree in Machine Learning, AI, Computer Science, Statistics, Mathematics, or related fields.

Preferred Qualifications

  • Experience 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 AI risk management.
  • Join an environment that values technical excellence and clear communication.


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