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Internship Political Data Science Jobs in Indiana

Data Engineer

Woodburn, IN

$102K - $123K/yr

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ... This can include internship, Co-op, apprentices, military service, or similar programs. * BS in ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ... This can include internship, Co-op, apprentices, military service, or similar programs. * BS in ...

... science, and data governance. Fully remote and hybrid work options are available. For full ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Actively pursuing a college credential, preferably in Computer Science, Data Analytics, Software Development, or comparable Information Technology program. DURATION OF INTERNSHIP: This internship can ...

Actively pursuing a college credential, preferably in Computer Science, Data Analytics, Software Development, or comparable Information Technology program. DURATION OF INTERNSHIP: This internship can ...

Data Engineer-Washington DC

Edinburgh, IN · On-site

$79K - $105K/yr

Serco has an exciting opportunity for a Data Engineer/Scientist to support U.S. Navy's Team ... include internships, undergraduate work, and graduate assistantships.) * 5 years of group ...

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Internship Political Data Science information

What can I expect in terms of collaboration and mentorship during a Political Data Science internship?

During a Political Data Science internship, you will typically work closely with experienced data scientists, analysts, and sometimes campaign strategists. Most teams encourage interns to participate in regular meetings, share findings, and seek feedback on their work. Mentorship is a key component, with supervisors often providing guidance on project design, data analysis techniques, and best practices. You can expect to collaborate on real-world projects, such as voter modeling or sentiment analysis, while receiving support to help you develop both technical and professional skills.

What is an Internship in Political Data Science?

An Internship in Political Data Science is a temporary, hands-on position where students or recent graduates work with data related to political science, campaigns, elections, or policy analysis. Interns typically assist with collecting, cleaning, and analyzing large datasets to uncover trends, inform strategies, or support research. This role often involves using statistical software, programming languages such as Python or R, and data visualization tools. Interns gain practical experience in applying data science methods to real-world political questions, while also learning about the intersection of technology and politics.

What are the key skills and qualifications needed to thrive as an Internship Political Data Scientist, and why are they important?

To thrive as an Internship Political Data Scientist, you generally need a strong background in statistics, data analysis, and political science, often supported by coursework or a degree in related fields. Familiarity with statistical software (such as R or Python), data visualization tools, and databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with diverse teams. These skills are important to accurately analyze political trends, inform strategic decisions, and present findings clearly to stakeholders.

What is the difference between Internship Political Data Science vs Political Data Analyst?

AspectInternship Political Data SciencePolitical Data Analyst
CredentialsTypically students or recent graduates; may require coursework in political science and data analysisBachelor's or master's in political science, statistics, or related fields; some roles prefer experience
Work EnvironmentInternship programs, often in government agencies, NGOs, or research firmsFull-time roles in government, political campaigns, or consulting firms
Industry UsageEntry-level, training-focused positions for skill developmentProfessional roles involving data analysis, reporting, and strategic insights

In summary, Internship Political Data Science positions are entry-level, training-focused roles ideal for students or recent graduates, while Political Data Analysts are full-time professionals with more experience conducting data analysis and providing strategic insights in political settings.

What are popular job titles related to Internship Political Data Science jobs in Indiana? For Internship Political Data Science jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Internship Political Data Science jobs? Cities in Indiana with the most Internship Political Data Science job openings:
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Indianapolis, IN

Other

Posted 8 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services


Job description

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? 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 Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

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

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations 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 support
  • 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 collaborating 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:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ 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 cybersecurity 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 support
  • 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. A reasonable estimate of the current range is $82,600 to $162,800.

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.


#CDRCyber27

Qualifications:

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? 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 Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

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

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations 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 support
  • 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 collaborating 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:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ 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 cybersecurity 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 support
  • 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. A reasonable estimate of the current range is $82,600 to $162,800.

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.


#CDRCyber27

Education:Bachelor's DegreeEmployment Type:

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