... Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions * 3+ years of experience using cyber security cloud ...
... Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions * 3+ years of experience using cyber security cloud ...
... 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+ years of ...
... 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+ years of ...
Experience with programming (Python, R, or similar) and working with data (SQL or relational ... Previous internship or project experience in data science or analytics How Success is Measured
Experience with programming (Python, R, or similar) and working with data (SQL or relational ... Previous internship or project experience in data science or analytics How Success is Measured
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
... R, SAS, SQL, Python, etc.) • Consistent history of delivering complex cross-functional projects • Demonstrated ability to effectively influence individuals from executive to associate levels ...
... R, SAS, SQL, Python, etc.) • Consistent history of delivering complex cross-functional projects • Demonstrated ability to effectively influence individuals from executive to associate levels ...
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
Advanced expertise in statistical modeling and machine learning using tools such as Python, R, or SAS. * Intermediate to Advanced knowledge of Teradata, SQL, SQL Server, or equivalent cloud-based ...
Data Scientist
Indianapolis, IN · On-site
... Python, R and core data science libraries in a professional, academic, or internship setting ... Experience with SAS programming * Strong communication skills - ability to present technical ...
Data Scientist
Indianapolis, IN · On-site
... Python, R and core data science libraries in a professional, academic, or internship setting ... Experience with SAS programming * Strong communication skills - ability to present technical ...
Sas R Python Internship information
What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?
To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?
As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.
What is a SAS R Python Internship?
A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.
What is the difference between Sas R Python Internship vs Data Analyst Internship?
| Aspect | Sas R Python Internship | Data Analyst Internship |
|---|---|---|
| Required Skills | Knowledge of SAS, R, Python, data manipulation | Proficiency in Excel, SQL, basic statistical analysis |
| Work Environment | Data-focused, analytics teams, tech companies | Business units, consulting firms, finance |
| Industry Usage | Common in healthcare, finance, tech | Widespread across industries including marketing and finance |
Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.
What cities in Indiana are hiring for Sas R Python Internship jobs? Cities in Indiana with the most Sas R Python Internship job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 138 rated financial services
Job description
Senior 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.
As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.
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:
- Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
- Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
- Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
- Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes
Qualifications:
Required:
- 6+ years of relevant analytics consulting or industry experience
- 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
- 4+ years of experience in statistical analysis, machine learning, and data mining techniques
- 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
- 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
- 2+ years of experience with SOC threat hunting and incident response
- Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
- Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
- 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
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).
#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 $144,200 to $265,600.
Senior 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.
As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions for clients. You will oversee workstreams, manage client relationships, guide solution design and delivery, and help develop practitioners while driving high-quality outcomes across cyber detection, response, and resilience engagements.
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:
- Lead the design and modernization of large-scale cyber data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement scalable as-a-service operating models
- Architect and deploy advanced cyber big data and AI technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, and platforms such as Splunk, CrowdStrike, and Palo Alto
- Oversee day-to-day operations, maintenance, and ongoing enhancement of data platforms and applications, including governance and AI-enabled Data Ops capabilities
- Help clients mature their AI and Analytics journey by shaping roadmaps, scaling use cases, and aligning cyber analytics investments to business and operational outcomes
Qualifications:
Required:
- 6+ years of relevant analytics consulting or industry experience
- 4+ years of experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (LangChain, CrewAI, etc.)
- 4+ years of experience in statistical analysis, machine learning, and data mining techniques
- 4+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data, engineer features, and support enterprise-grade analytics solutions
- 3+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
- 2+ years of experience with SOC threat hunting and incident response
- Demonstrated expertise leading multiple full life cycle analytics engagements across strategy, design, and implementation
- Experience leading teams, managing workstreams, and driving delivery quality in a client-facing environment
- 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
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).
#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 $144,200 to $265,600.