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Internship Reddit Data Science Jobs in Indiana (NOW HIRING)

University of Notre Dame

Lucy Summer Intern

Notre Dame, IN · On-site

$14.75 - $19.50/hr

Qualifications We welcome high school students who meet the following criteria to apply for the Lucy Internship Program: * Curiosity and interest in data science, AI, or technology, and its role in ...

Michelin

Data Engineer

Woodburn, IN

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Michelin

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Danaher

Digital Analyst Internships

Indianapolis, IN · On-site

$86K - $102K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

Danaher

Digital Analyst Internships

Fort Wayne, IN · On-site

$90K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Computer Science, Information Systems, or a related field * Familiarity with data analysis ...

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Internship Reddit Data Science information

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

To thrive as a Reddit Data Science intern, you need a solid background in statistics, programming (Python or R), and data analysis, usually supported by progress toward a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and present data-driven insights. These skills are crucial for extracting actionable information from Reddit's large datasets, driving informed decisions, and contributing to product and user experience improvements.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

Is a data science internship worth it?

A data science internship provides practical experience with tools like Python, R, and SQL, and helps develop skills in data analysis, machine learning, and communication. It can improve job prospects, build a professional network, and often leads to full-time opportunities, making it a valuable step for aspiring data scientists.

What is an Internship Reddit Data Science position?

An Internship Reddit Data Science position is a temporary role where students or recent graduates work with Reddit's data science team. Interns assist with analyzing large datasets, building models, and deriving insights to improve user experience and business outcomes. The role typically involves working with programming languages like Python or R, using tools for data analysis and visualization, and collaborating with other engineers and data scientists. It's a valuable opportunity for gaining hands-on experience in real-world data science projects within a dynamic tech company. The internship can help build skills and open doors for future careers in data science.

What is the difference between Internship Reddit Data Science vs Data Analyst Intern?

AspectInternship Reddit Data ScienceData Analyst Intern
Required skillsBasic programming, statistics, data manipulationData visualization, Excel, SQL, basic statistics
Work environmentTech companies, startups, online platformsBusiness, finance, marketing sectors
Typical tasksData cleaning, model development, analysisReporting, dashboards, data interpretation
Common industry usageTech, social media, online communitiesCorporate, marketing, finance

Internship Reddit Data Science and Data Analyst Intern roles share foundational skills like data manipulation and basic analytics. However, Reddit Data Science internships focus more on developing models and working with large datasets in tech environments, while Data Analyst Internships emphasize reporting and visualization in business contexts. Both roles provide valuable experience but cater to different career paths within data fields.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with senior roles, extensive experience, specialized skills in machine learning or big data, and working at large tech companies or in high-cost regions. Achieving this level often requires advanced education, certifications, and a strong portfolio of successful projects.

What types of projects and responsibilities can I expect as a Data Science Intern at Reddit?

As a Data Science Intern at Reddit, you can expect to work on a variety of projects ranging from analyzing user engagement data to building predictive models that support product and content recommendations. You'll collaborate closely with data scientists, engineers, and product managers, often using tools like Python, SQL, and machine learning libraries. Common responsibilities include cleaning and visualizing data, conducting exploratory analysis, and presenting insights to stakeholders. This hands-on experience will help you develop both technical and communication skills in a dynamic, team-oriented environment.

Is 30 too late for data science?

Age is not a barrier to entering data science, including internships like Reddit Data Science roles. Many professionals transition into data science later in their careers by developing relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value skills and experience over age, so starting at 30 can still lead to successful opportunities in the field.
What are the most commonly searched types of Reddit Data Science jobs in Indiana? The most popular types of Reddit Data Science jobs in Indiana are:
What are popular job titles related to Internship Reddit Data Science jobs in Indiana? For Internship Reddit Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship Reddit Data Science jobs in Indiana look for? The top searched job categories for Internship Reddit Data Science jobs in Indiana are:
What cities in Indiana are hiring for Internship Reddit Data Science jobs? Cities in Indiana with the most Internship Reddit Data Science job openings:
Internship Reddit Data Science jobs near you
Infographic showing various Internship Reddit Data Science 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.
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Indianapolis, IN • On-site

Other

Re-posted 22 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th 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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