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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI-enabled security solutions, with a strong focus on machine learning workflows and data analysis. Proven ability to translate technical findings into actionable recommendations while mentoring junior team members and collaborating with clients.
Highest-signal resume keywords
AI-Enabled Security SolutionsMachine Learning WorkflowsCloud SecurityData AnalysisClient Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaTensorFlowMachine Learning LibrariesData PipelinesModel ImplementationData Quality EvaluationAutomation OpportunitiesSecurity Use CasesTechnical Findings Interpretation
Soft Skills
CollaborationMentoringRelationship BuildingAdaptabilityProblem Solving
Tools & Technologies
AWSGoogle CloudMicrosoft AzureDatabricksSnowflake
Certifications & Qualifications
Data Engineering CertificationMachine Learning CertificationCloud Platform Certification
Industry Keywords
Cyber RiskAI SecuritySecurity ControlsEnterprise EnvironmentsCloud Environments
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonTensorflow
About the role
Key responsibilities & impact- Design, develop, deploy, monitor, and maintain AI-enabled security solutions within the Advisory practice
- Design and deploy AI-enabled security solutions supporting enterprise and cloud environments
- Develop machine learning workflows, data pipelines, and model implementation processes for scalable security use cases
- Analyze complex security and data challenges to identify patterns, risks, and automation opportunities
- Apply Python, Java, TensorFlow, and machine learning libraries to build and refine AI-driven capabilities
- Evaluate data quality, integration, and modeling approaches supporting secure and reliable system performance
- Support client engagements by translating technical findings into clear recommendations and implementation steps
- Review work products for accuracy, consistency, and alignment with professional and technical standards
- Guide junior team members through technical tasks, issue resolution, and delivery activities
- Build relationships with client stakeholders to understand security needs and evolving business context
- Contribute to scalable security controls across identities, infrastructure, and cloud platforms
- Analyze complex problems, manage assigned workstreams, build client connections, and adapt to changing client needs and priorities
Requirements
What you’ll need- At least a Bachelor's degree
- At least 3 years of experience
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one certification aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Hands-on work in cloud security, AI security, or cyber risk
- Data analysis and scripting skills applied to security use cases
- Ability to interpret technical findings for client-facing deliverables and recommendations
- Ability to collaborate across teams while mentoring junior professionals
- Ability to travel up to 60%
- Must not require PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
