Exposure to SOC threat hunting and/or incident response * Experience contributing to analytics or ... Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras ...
Exposure to SOC threat hunting and/or incident response * Experience contributing to analytics or ... Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras ...
Exposure to SOC threat hunting and/or incident response * Experience contributing to analytics or ... Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras ...
Exposure to SOC threat hunting and/or incident response * Experience contributing to analytics or ... Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
... hunting, and response support * Working with cyber data platforms, cloud technologies, and ... internships and in-school experience) * 1+ years of experience with artificial intelligence ...
Internship Python Hunting information
What is the difference between Internship Python Hunting vs Python Developer?
| Aspect | Internship Python Hunting | Python Developer |
|---|---|---|
| Required Credentials | Basic programming knowledge, often pursuing or recent graduate | Proven experience, relevant certifications, and strong coding skills |
| Work Environment | Entry-level, learning-focused, often in tech companies or startups | Full-time, professional setting, involved in project development |
| Employer & Industry Usage | Used by companies recruiting interns for entry roles in tech and software firms | Hired for ongoing software development projects across industries |
| Search & Comparison Intent | Looking for beginner opportunities or internships in Python | Seeking experienced Python roles or full-time positions |
Internship Python Hunting typically targets individuals seeking entry-level experience and learning opportunities in Python, often with minimal prior experience. In contrast, Python Developer roles require proven skills, experience, and are aimed at full-time employment. Both are relevant in tech industries but serve different career stages and objectives.
What are the most commonly searched types of Python Hunting jobs in Illinois? The most popular types of Python Hunting jobs in Illinois are:
What are popular job titles related to Internship Python Hunting jobs in Illinois? For Internship Python Hunting jobs in Illinois, the most frequently searched job titles are:
- Iam Internship
- Internship In Cryptography
- Intern Ethical Hacker
- Internship Vulnerability Analyst
- Internship Remote Security Researcher
- Internship Virtual Recruiter
- Remote Internship Sports Analyst
- Intern High Performance Computing Engineer
- From Home Software Engineer Intern Summer 2025
- Internship Volunteer Business Analyst
What job categories do people searching Internship Python Hunting jobs in Illinois look for? The top searched job categories for Internship Python Hunting jobs in Illinois are:
What cities in Illinois are hiring for Internship Python Hunting jobs? Cities in Illinois with the most Internship Python Hunting job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
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 5/31/2026
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:
- 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
- Exposure to SOC threat hunting and/or incident response
- Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
- Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; 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
- Experience supporting the design, development, or deployment of enterprise data science or AI solutions
- Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
- Experience parsing and normalizing cyber or IT telemetry datasets
- Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
- Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
- Ability to manage multiple task assignments while working in a team-oriented environment
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
#CDRCyber26
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 $88,600 to $163,100.
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 5/31/2026
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:
- 1+ years of relevant analytics consulting or industry experience including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience in statistical analysis, machine learning, and data mining techniques including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support data science workflows including internships, co-ops, research roles, and other applicable academic or in-school experience
- 1+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.) including internships, co-ops, research roles, and other applicable academic or in-school experience
- Exposure to SOC threat hunting and/or incident response
- Experience contributing to analytics or cyber transformation workstreams across strategy, design, or implementation
- Bachelor's Degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or related field; 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
- Experience supporting the design, development, or deployment of enterprise data science or AI solutions
- Knowledge of AI / ML / Advanced Data Engineering applications for cybersecurity use cases such as detection engineering and threat response acceleration
- Experience parsing and normalizing cyber or IT telemetry datasets
- Familiarity with Python machine learning and deep learning libraries such as PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, and SciPy
- Familiarity with Apache open-source frameworks such as Kafka, Storm, and Spark
- Ability to manage multiple task assignments while working in a team-oriented environment
- Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint)
#CDRCyber26
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 $88,600 to $163,100.