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Intern Data Scientist Machine Learning Jobs (NOW HIRING)

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Key Qualifications * • BA/MS in business related fields with a focus on machine learning ... As a Data Scientist Intern at Concord Advice, you will: • Thrive in an unstructured environment ...

Key Qualifications * • BA/MS in business related fields with a focus on machine learning ... As a Data Scientist Intern at Concord Advice, you will: • Thrive in an unstructured environment ...

Key Qualifications * • BA/MS in business related fields with a focus on machine learning ... As a Data Scientist Intern at Concord Advice, you will: • Thrive in an unstructured environment ...

Key Qualifications * • BA/MS in business related fields with a focus on machine learning ... As a Data Scientist Intern at Concord Advice, you will: • Thrive in an unstructured environment ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Build and optimize machine learning models for classification, regression, predictive analytics ...

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Intern Data Scientist Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jul 15, 2026, the average yearly pay for intern data scientist machine learning 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 types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

More about Intern Data Scientist Machine Learning jobs
What cities are hiring for Intern Data Scientist Machine Learning jobs? Cities with the most Intern Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Intern Data Scientist Machine Learning jobs? States with the most job openings for Intern Data Scientist Machine Learning jobs include:
Infographic showing various Intern Data Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Data Scientist Intern

Ardian

New York, NY • On-site

Full-time

Re-posted 16 days ago


Job description

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)
This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.
Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
  • Rigor
  • Motivation
  • Autonomy
  • Responsiveness
  • Team spirit and excellent communication skills
  • Ability to simplify complex technical concepts
  • Efficiency

Profile
  • 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field
  • Prior experience in data science required
  • Advanced proficiency in Python required
  • Fluent English essential
  • Good command of Excel and PowerPoint appreciated

Other information
  • Remuneration based on profile
  • Monday - Thursday meals provided in Ardian's office
  • Open to J1/F1 sponsorship

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