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Internship F1 Data Science Jobs in Indiana (NOW HIRING)

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 ...

Ivy Tech

Data Analyst Intern

Indianapolis, IN · On-site

$15/hr

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

Ivy Tech

Data Analyst Intern

Indianapolis, IN · Hybrid

$15/hr

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

Serco

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 F1 Data Science information

What is the difference between Internship F1 Data Science vs Data Analyst Intern?

AspectInternship F1 Data ScienceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsSimilar: coursework, basic analytics skills, some certifications
Work EnvironmentTech companies, finance, healthcare; collaborative, project-basedBusiness, tech, consulting; data-focused, team-oriented
Employer & Industry UsageInternships in data science teams across industriesInternships in analytics teams across industries
Comparison Search IntentYesYes

Internship F1 Data Science and Data Analyst Intern roles share similar requirements and work environments, focusing on data handling and analysis. However, Data Science internships often emphasize machine learning, statistical modeling, and programming, while Data Analyst internships focus more on data visualization, reporting, and basic analytics. Both roles serve as entry points into data careers, but their specific skill sets and project types differ slightly.

What types of projects can an intern expect to work on during an F1 Data Science internship?

As an F1 Data Science intern, you can expect to work on projects involving race data analysis, predictive modeling, and performance optimization. You'll collaborate with engineering and analytics teams to process telemetry data, build machine learning models, and generate insights that can influence race strategies. Interns often have the opportunity to contribute to real-world decisions by visualizing data or automating data pipelines. This experience provides a hands-on understanding of how data science directly impacts the competitive edge in Formula 1.

What is an Internship F1 Data Science?

An Internship F1 Data Science is a temporary, entry-level position typically offered to students or recent graduates who are interested in applying data science techniques to Formula 1 (F1) motorsport. Interns in this role work with large sets of racing data, assist with data analysis, and contribute to performance optimization for F1 teams. They gain hands-on experience with real-world data, advanced analytics, and machine learning models, often working alongside experienced data scientists and engineers. This internship provides valuable exposure to both the fast-paced F1 environment and the technical demands of sports analytics.

What are the key skills and qualifications needed to thrive as an Internship F1 Data Science, and why are they important?

To thrive as an F1 Data Science intern, you need a solid background in statistics, mathematics, and programming (often with Python or R), supported by ongoing or completed studies in a STEM field. Familiarity with data analysis tools, machine learning libraries, and motorsport telemetry systems is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute meaningfully to team projects. These capabilities are crucial for interpreting complex data, supporting performance optimization, and collaborating in the high-pressure, fast-paced environment of F1 teams.
What are the most commonly searched types of F1 Data Science jobs in Indiana? The most popular types of F1 Data Science jobs in Indiana are:
What are popular job titles related to Internship F1 Data Science jobs in Indiana? For Internship F1 Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship F1 Data Science jobs in Indiana look for? The top searched job categories for Internship F1 Data Science jobs in Indiana are:
What cities in Indiana are hiring for Internship F1 Data Science jobs? Cities in Indiana with the most Internship F1 Data Science job openings:
Internship F1 Data Science jobs near you
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Indianapolis, IN

Other

Posted 7 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 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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