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Internship Applied Scientist Machine Learning Jobs in Melbourne, FL

Design and implement machine learning models and statistical analyses * Develop predictive models and data-driven solutions * Process and analyze large-scale geospatial datasets * Create data ...

Design and implement machine learning models and statistical analyses * Develop predictive models and data-driven solutions * Process and analyze large-scale geospatial datasets * Create data ...

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Internship Applied Scientist Machine Learning information

See Melbourne, FL salary details

$23.6K

$39.5K

$81.6K

How much do internship applied scientist machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for internship applied scientist machine learning in Melbourne, FL is $39,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What job categories do people searching Internship Applied Scientist Machine Learning jobs in Melbourne, FL look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Internship Applied Scientist Machine Learning jobs?

Cities near Melbourne, FL with the most Internship Applied Scientist Machine Learning job openings:

Infographic showing various Internship Applied Scientist Machine Learning job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $39,472 per year, or $19 per hour.

Principal / Sr. Principal Data Scientist - Machine Learning and Predictive Analytics

Northrop Grumman Corporation

Melbourne, FL • On-site, Remote

Full-time

Medical, Life, PTO

Re-posted 5 days ago


Northrop Grumman rating

8.3

Company rating: 8.3 out of 10

Based on 371 frontline employees who took The Breakroom Quiz

65th of 546 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: Top SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Northrop Grumman is seeking an experiencedPrincipal or Senior Principal Data Scientistto join our team of qualified, diverse individuals in Melbourne, Fl. This position is required full-time, in-office. There is no option for remote or hybrid work arrangements.

Accomplish

We are seeking a first-principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre-built tools; this is an opportunity to architect and build the core data logic of our systems. You will be responsible for creating custom, high-performance statistics and machine learning tools from the ground up, making meaning of complex data sets. Your work will involve deep data modeling, abstracting reusable patterns, and writing modular, maintainable code that stands the test of time.

Essential Functions:

  • Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.

  • Architect and develop custom, maintainable data science solutions from the ground up.

  • Write and maintain tests and documentation for data architecture, workflows, and processes.

  • Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.

  • Tune and optimize complex algorithms within our on-premise infrastructure.

Succeed

The individual we seek will be self-motivated, proactive, goal-oriented to help us grow our services, become even better at what we do and will possess the following qualifications.

**This requisition may be filled at either a Principal Level or a Sr. Principal Level**

Basic Qualifications for a Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 5 years of relevant experience, OR Master of Science degree in relevant fields with 3 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Basic Qualifications for a Sr Principal Data Scientist:

  • Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 8 years of relevant experience, OR Master of Science degree in relevant fields with 6 years of relevant experience, OR PhD/Doctorate degree in relevant fields with 4 years of relevant experience.

  • Deep understanding of Machine Learning and Deep Learning

  • Recent professional experience in software development and/or data engineering.

  • Strong programming skills in Python and SQL.

  • Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

  • Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company. Active In Scope Top Secret Clearance required to start.

Preferred Qualifications:

  • Master's degree or higher, in Data Science or related discipline.

  • 7 years of experience in software development.

  • Experience with C/C++.

  • Experience with machine learning pipelines and data science workflows.

  • Familiarity with SQL Alchemy, Numpy, Pandas, SKLearn, PyTorch.

  • Ability to troubleshoot and optimize complex data queries and workflows.

  • Familiarity with big data concepts, machine learning pipelines, and MLOps.

  • Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.

  • Ability to work in a fast-paced environment.

Primary Level Salary Range: $108,200.00 - $162,400.00Secondary Level Salary Range: $135,000.00 - $202,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939