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Data Science Summer Internship Jobs in Indiana (NOW HIRING)

Lead end-to-end data science initiatives - from problem definition and data exploration to ... Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO) * 8-week parental ...

$99K - $131K/yr

You will work with data to create a mock budgeting presentation to business leaders. Following the ... This internship program is a paid opportunity intended to take place during the summer of 2027 ...

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How much do data science summer internship jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data science summer internship in Indiana is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.32 per hour, depending on experience, location, and employer.

What is a Data Science Summer Internship?

A Data Science Summer Internship is a temporary, typically 8-12 week position offered during the summer to students or recent graduates interested in gaining hands-on experience in data science. Interns work on real-world projects involving data collection, cleaning, analysis, and visualization, often using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and networking opportunities that can help launch a career in data science.

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

AspectData Science Summer InternshipData Analyst Summer Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentHands-on projects involving machine learning, programming, and data modelingData cleaning, reporting, and visualization tasks
Employer & Industry UsageTech companies, startups, finance, healthcareBusiness, marketing, finance, consulting

While both internships involve working with data, Data Science Summer Internships focus on building predictive models and advanced analytics, whereas Data Analyst Summer Internships emphasize data interpretation, reporting, and visualization. Candidates should choose based on their skills and career goals in data-related roles.

What are the key skills and qualifications needed to thrive as a Data Science Summer Intern, and why are they important?

To thrive as a Data Science Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization libraries, as well as exposure to machine learning frameworks, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set outstanding interns apart. These skills are crucial for translating complex data into actionable insights and collaborating successfully within multidisciplinary teams.

What types of projects and collaboration can I expect during a Data Science Summer Internship?

As a Data Science Summer Intern, you'll typically work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Interns often collaborate with cross-functional teams such as engineering, product management, and business analytics to understand project requirements and deliver actionable insights. You'll likely participate in team meetings, present your findings, and receive constructive feedback, offering a valuable opportunity to learn industry best practices and improve your technical and communication skills.
What are popular job titles related to Data Science Summer Internship jobs in Indiana? For Data Science Summer Internship jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Summer Internship jobs in Indiana look for? The top searched job categories for Data Science Summer Internship jobs in Indiana are:
What cities in Indiana are hiring for Data Science Summer Internship jobs? Cities in Indiana with the most Data Science Summer Internship job openings:
Infographic showing various Data Science Summer Internship job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,542 per year, or $21.4 per hour.
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Indianapolis, IN • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 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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