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Machine Learning Engineer Data Science Intern Jobs

Essential Skills * 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields. * Strong proficiency in ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Working at the intersection of computer science, marine science, and data analytics, this position ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... Product Engineer as well as the development and deployment of machine learning models. This ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... Product Engineer as well as the development and deployment of machine learning models. This ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... Product Engineer as well as the development and deployment of machine learning models. This ...

Data Science Intern

Charlotte, NC · On-site

$52K - $78K/yr

Data Science Intern What you will be doing: This position will have responsibility for supporting ... Product Engineer as well as the development and deployment of machine learning models. This ...

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional ... Partner closely with Data Scientists to support traditional ML model development, including feature ...

Showing results 21-40

Machine Learning Engineer Data Science Intern information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning engineer data science intern jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer data science intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a machine learning engineer data science intern do?

A Machine Learning Engineer Data Science Intern assists in developing and implementing machine learning models and data-driven solutions under the guidance of experienced professionals. The role typically involves data preprocessing, feature engineering, model training, and evaluation. Interns often collaborate with teams to solve real-world problems using statistical analysis and programming. They gain hands-on experience with popular tools and frameworks, such as Python, TensorFlow, and scikit-learn. This internship helps build foundational skills for a future career in machine learning and data science.

What kinds of projects does a machine learning engineer data science intern typically work on, and how are they supported by their team?

As a Machine Learning Engineer Data Science Intern, you will often be assigned to real-world projects such as building predictive models, cleaning and preprocessing data, and assisting with the deployment of machine learning solutions. You’ll collaborate closely with senior data scientists, software engineers, and sometimes product managers, receiving guidance during code reviews and regular team meetings. The environment is typically fast-paced and supportive, encouraging learning through mentorship and hands-on experience. Interns are expected to communicate their findings clearly and contribute to the team’s problem-solving efforts.

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

To thrive as a Machine Learning Engineer Data Science Intern, you need a strong background in mathematics, statistics, and programming (typically Python), supported by coursework or a degree in computer science, data science, or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Problem-solving skills, intellectual curiosity, and effective communication make a candidate stand out in collaborative and dynamic environments. These skills are vital for analyzing complex datasets, building reliable models, and clearly communicating insights that drive data-driven decision-making.

What cities are hiring for Machine Learning Engineer Data Science Intern jobs?

Cities with the most Machine Learning Engineer Data Science Intern job openings:

What states have the most Machine Learning Engineer Data Science Intern jobs?

States with the most job openings for Machine Learning Engineer Data Science Intern jobs include:

What are popular job titles related to Machine Learning Engineer Data Science Intern jobs?

For Machine Learning Engineer Data Science Intern jobs, the most frequently searched job titles are:

Machine Learning Engineer

Manhattan, NY • On-site

Aston Carter
Recruiting and Staffing Services • 1 - 5K employees

$125/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance.

  • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions for real-world business problems.

  • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows.


Job description

REMOTE Machine Learning Engineer
Job Description
This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to evaluate complex machine learning scenarios and real-world business use cases. You will develop and validate models, review analytical workflows, and provide expert guidance to ensure solutions are technically sound, scalable, and aligned with practical applications, all within a fully remote and flexible engagement.
Responsibilities
  • Evaluate complex analytical and machine learning scenarios for technical accuracy, scalability, and business relevance.
  • Develop, validate, and refine statistical models, predictive analyses, and data-driven solutions that address real-world business problems.
  • Write, review, and optimize Python and SQL code used in data analysis and machine learning workflows.
  • Design realistic business and analytics use cases based on professional experience and industry best practices.
  • Assess modeling approaches, underlying assumptions, and analytical methodologies to ensure robustness and reliability.
  • Create clear, structured documentation and explanations for complex statistical and machine learning concepts.
  • Identify opportunities to improve analytical processes, outputs, and decision-support frameworks across projects.
  • Collaborate within structured project guidelines while managing tasks independently and proactively.
  • Maintain consistent quality, accuracy, and productivity throughout the engagement.
  • Provide expert insights on machine learning, deep learning, NLP, experimentation, forecasting, and model validation to support next-generation analytical and intelligent systems.
  • Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.

Essential Skills
  • 5+ years of professional experience in Data Science, Machine Learning, Advanced Analytics, Quantitative Research, Data Engineering, or related fields.
  • Strong proficiency in Python and/or SQL for data analysis, modeling, and workflow development.
  • Hands-on experience developing, evaluating, or deploying analytical and machine learning models.
  • Solid understanding of core machine learning concepts and statistical methodologies.
  • Ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Strong written communication skills for documentation and analytical reporting.
  • Comfort working independently in a fully remote environment.
  • Availability for approximately 30-40+ hours per week throughout the engagement.

Additional Skills & Qualifications
  • Experience with deep learning techniques and frameworks.
  • Experience in Natural Language Processing (NLP) applications and methodologies.
  • Data Engineering experience, including building and maintaining data pipelines and analytical workflows.
  • Hands-on experience with A/B testing, experimentation design, and causal inference approaches.
  • Forecasting and time series analysis experience for predictive modeling.
  • Data visualization skills and familiarity with business intelligence concepts and tools.
  • Experience with model validation, performance evaluation, and ongoing model monitoring.
  • Quantitative research experience, including rigorous analytical design and interpretation.
  • Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to strategic technology initiatives.
  • Ability to align analytical and intelligent systems with real-world applications and business objectives.

Work Environment
This is a fully remote, project-based consulting engagement that offers a flexible schedule and is best suited for professionals available 30-40+ hours per week. You will work independently within structured project guidelines, focusing on challenging, real-world analytical problems without the distractions of production support, extensive stakeholder management, or corporate bureaucracy. The environment emphasizes autonomy, meaningful technical challenges, and the opportunity to contribute to innovative AI-focused initiatives while enjoying the flexibility and focus that consulting work provides
Job Type & Location
This is a Contract position based out of New York, NY.
Pay and Benefits
The pay range for this position is $125.00 - $125.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Sep 11, 2026.
About Aston Carter
Aston Carter provides world-class corporate talent solutions to thousands of clients across the globe. Specialized in accounting, finance, human resources, talent acquisition, procurement, supply chain and select administrative professions, we extend the capabilities of industry-leading companies. We draw on our deep recruiting expertise and expansive network to meet the evolving needs of our clients and talent community with agility and excellence. With offices across the U.S., Canada, Asia Pacific and Europe, Aston Carter serves many of the Fortune 500. We are proud to be a ClearlyRated Best of Staffing® Platinum Award winner for both client and talent service.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email astoncarteraccommodation@astoncarter.com for other accommodation options.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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About Aston Carter

Sourced by ZipRecruiter

At Aston Carter, we're dedicated to expanding career opportunities for the skilled professionals who power our business. Our success is driven by the talented, motivated people who join our team across a range of positions - from recruiting, sales and delivery to corporate roles. As part of our team, employees have the opportunity for long-term career success, where hard work is rewarded and the potential for growth is limitless. Established in 1997, Aston Carter is a leading staffing and consulting firm, providing high-caliber talent and premium services to more than 7,000 companies across North America. Spanning four continents and more than 200 offices, we extend our clients' capabilities by seeking solvers and delivering solutions to address today's workforce challenges. For organizations looking for innovative solutions shaped by critical-thinking professionals, visit AstonCarter.com. Aston Carter is a company within Allegis Group, a global leader in talent solutions.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Hanover, MA, US