Data Scientist...

Job Description World Wide Technology (WWT) is a
global technology integrator and supply chain solutions provider.
Through our culture of innovation, we inspire, build, and deliver
business results, from idea to outcome. World Wide Technology EMEA.
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 client’s 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. - 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).