Internship Deloitte Computer Science Jobs in Arizona

Data Lake - Manager

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Manager, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

• Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
• Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
• Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
• Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
• Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

• 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
• 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
• 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
• Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
• Ability to travel 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 supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
• Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
• Experience parsing and normalizing cyber or information technology telemetry datasets
• Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
• Experience with Apache Kafka, Storm, or Spark
• Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

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.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Data Lake - Manager

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role with opportunities to grow your impact? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Senior Consultant, Strategy, Growth, and Transformation role, you will work with Deloitte's Cyber Defense & Resilience Security Operations team to support complex cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Manager, Strategy, Growth, and Transformation on the Cyber Defense & Resilience Security Operations team, you will be responsible for

• Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
• Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration
• Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
• Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
• Preparing analyses, client deliverables, and recommendations while coordinating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

• 10+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these
• 10+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
• 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
• Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
• Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
• Ability to travel 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 supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
• Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response acceleration
• Experience parsing and normalizing cyber or information technology telemetry datasets
• Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
• Experience with Apache Kafka, Storm, or Spark
• Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

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.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.