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Full Stack Web Developer Internship Jobs in Freeland, MI

Deloitte

Lead AI and Data Science Engineer II

Midland, MI · On-site

$88K - $115K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations. * Partner with data engineering teams on pipeline ...

Savant Group

Electrical Engineer

Midland, MI · On-site

... full product lifecycle, and collaborating with Engineering, Manufacturing, Software, Service ... Provide technical guidance and mentorship to junior engineers, technicians, or interns as assigned ...

Dow

Local College Co-op: Auburn Operations

Auburn, MI · On-site

$13.25 - $17.25/hr

Unlike a short-term internship project outside of school terms, this particular role is a ... Commit to the role for at least 1 full calendar year (BEFORE completing classes for your stated ...

Gray Television

NEWS REPORTER/MMJ - WNEM

Saginaw, MI · On-site

$22.75 - $31/hr

We also own the largest Telemundo Affiliate group with 47 markets and Gray Digital Media, a full ... service programming. We have the top-rated news station plus a broadcast website. We are a mid ...

All JobsFull Stack Web Developer JobsFull Stack Web Developer Internship JobsFull Stack Web Developer Internship Jobs in Freeland, MI

Full Stack Web Developer Internship information

See Freeland, MI salary details

$42.3K

$100.8K

$206.2K

How much do full stack web developer internship jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full stack web developer internship in Freeland, MI is $100,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a full stack web developer internship?

A Full Stack Web Developer Internship is a temporary position designed for students or recent graduates to gain practical experience working on both the front-end and back-end aspects of web development. Interns typically work with technologies such as HTML, CSS, JavaScript, and frameworks like React or Node.js. The role involves collaborating with teams to build, test, and maintain web applications, allowing interns to develop coding skills and understand the software development lifecycle. This internship is a valuable opportunity to apply classroom knowledge in real-world projects and prepare for a career as a full stack developer.

What types of projects can I expect to work on during a full stack web developer internship?

As a Full Stack Web Developer Intern, you can expect to work on a variety of projects that span both front-end and back-end development. This often includes building or improving features for web applications, debugging code, writing unit tests, and collaborating with designers and other developers to deliver user-friendly products. You may also participate in code reviews, assist with database integration, and learn about deployment processes. These experiences give you a comprehensive view of the software development lifecycle and prepare you for more advanced roles in the future.

What are the key skills and qualifications needed to thrive as a full stack web developer intern, and why are they important?

To thrive as a Full Stack Web Developer Intern, you need a solid understanding of front-end and back-end programming languages (such as HTML, CSS, JavaScript, and at least one backend language like Python, Java, or Node.js), along with coursework or experience in web development. Familiarity with frameworks (like React or Angular), version control systems (such as Git), and databases (SQL or NoSQL) is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you learn quickly and collaborate within development teams. These competencies are crucial for efficiently contributing to real-world projects and adapting to the fast-paced nature of modern web development environments.

What is the difference between Full Stack Web Developer Internship vs Front End Developer Internship?

AspectFull Stack Web Developer InternshipFront End Developer Internship
Required SkillsHTML, CSS, JavaScript, backend frameworks, databasesHTML, CSS, JavaScript, UI/UX design
Work EnvironmentBoth frontend and backend development, collaborative teamsPrimarily UI/UX, client-side development
Industry UsageWeb development companies, tech startups, agenciesWeb design firms, digital agencies, tech companies

Full Stack Web Developer Internships involve working on both frontend and backend tasks, providing a comprehensive development experience. Front End Developer Internships focus on user interface and client-side features. Both roles are valuable for gaining industry experience, but full stack roles offer broader exposure to the entire web development process.

What are the most commonly searched types of Full Stack Web Developer jobs in Freeland, MI? The most popular types of Full Stack Web Developer jobs in Freeland, MI are:
What are popular job titles related to Full Stack Web Developer Internship jobs in Freeland, MI? For Full Stack Web Developer Internship jobs in Freeland, MI, the most frequently searched job titles are:
What cities near Freeland, MI are hiring for Full Stack Web Developer Internship jobs? Cities near Freeland, MI with the most Full Stack Web Developer Internship job openings:
Full Stack Web Developer Internship jobs near you
Infographic showing various Full Stack Web Developer Internship job openings in Freeland, MI as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 10% Part Time, 1% Temporary, and 8% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $100,850 per year, or $48.5 per hour.

Lead AI and Data Science Engineer II

Deloitte

Midland, MI • On-site

$88K - $115K/yr

Full-time

Posted 13 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

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 mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

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.

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 $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

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 mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

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.

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 ski...

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