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Google Internship Data Science Jobs in Colorado (NOW HIRING)

Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or ... Enhance customer support data analysis to gain deeper insights. * Collaborate with the Product Area ...

Data Analyst

Broomfield, CO · On-site

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate brings strong technical skills in data tooling - especially Google Looker ... Bachelor's degree in Data Science, Finance, Accounting, Statistics, or related field (or equivalent ...

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

New

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

New

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

New

Showing results 41-60

Google Internship Data Science information

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

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

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What job categories do people searching Google Internship Data Science jobs in Colorado look for?

The top searched job categories for Google Internship Data Science jobs in Colorado are:

What cities in Colorado are hiring for Google Internship Data Science jobs?

Cities in Colorado with the most Google Internship Data Science job openings:

Infographic showing various Google Internship Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Colorado Springs, CO • On-site

Full-time

Re-posted 22 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

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
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

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 $102,500 to $188,900.

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.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 30th 2026. 

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

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
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

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 $102,500 to $188,900.

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.

Education:Bachelor's DegreeEmployment Type:

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