Cybersecurity Data & AI Consultant

Consultant - Cyber Defense & Resilience - Security Operations

Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte could be the place for you. Traditional security programs have often been unsuccessful in unifying the need to both secure and support technology innovation required by the business. Join Deloitte's Cyber Defense & Resilience (D&R) Security Operations team and become a member of the largest group of cybersecurity professionals worldwide.

Recruiting for this role ends on 12/31/2025

The Team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection cybersecurity, advanced cyber data engineering and the use of AI and ML for cyber defense and operations issues. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across security data modernization, data ops, AI, and ML, and the use of these disciplines towards cyber specific solutioning. Through our unrivaled breadth and depth of services across every major industry and domain, we help our clients run smarter, faster, and more efficiently. With Deloitte's AI & Data, our clients have the support they need to continuously develop, innovate, automate, scale, and operate in service of organizational performance and growth.

Cyber Detect & Respond practitioners work with our clients to:

• Design and modernize large scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale
• Harness the potential of bleeding edge cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google Sec Ops and the latest from traditional security providers like Splunk, Crowdstrike, Palo Alto and others.
• Enable day-to-day operations, maintenance and ongoing enhancements of their data platforms and applications as well as managing and governing the underlying data leveraging standardized, automated and AI enabled Data Ops capabilities
• Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambition.
  
  

Qualifications:

Required:

• 2-4 years of relevant Analytics consulting or industry experience
• 2-4 Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
• 2-4 years experience in statistical analysis, machine learning, and data mining techniques.
• 2-4 years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2-4 years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
• 1-4 years of experience with SOC threat hunting and incident response
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available.
  
  

Preferred:

• Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
• Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
• Experience parsing and normalizing cyber or IT specific telemetry datasets
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).
  
  

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $80,400 to $148,000.