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Intern Data Scientist Graduate Jobs (NOW HIRING)

Nasdaq

Data Scientist - Graduate

Boston, MA · Hybrid

$84K - $147K/yr

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and ...

Nasdaq

Data Scientist - Graduate

Boston, MA · On-site

$84K - $147K/yr

Data Scientist At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and ...

Ardian

Data Scientist Intern

New York, NY

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 ...

Ardian

Data Scientist Intern

New York, NY · On-site

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 ...

Adobe

2026 Intern - Data Scientist

San Jose, CA · On-site

$38 - $51/hr

As a Data Science Engineer Intern, you'll work on modern AI quality measurement, evaluation systems, and user analytics that directly influence how millions of Adobe customers interact with AI ...

Adobe, Inc.

2026 Intern - Data Scientist

San Jose, CA · On-site

$38 - $51/hr

As a Data Science Engineer Intern, you'll work on modern AI quality measurement, evaluation systems, and user analytics that directly influence how millions of Adobe customers interact with AI ...

Mayo Clinic

Intern - Data Science

Rochester, MN · On-site

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources ... Current enrollment or recent graduate of undergrad or grad program in: Computer Science ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

AEVEX

Engineering Intern - Data Science

Dayton, OH

The selected intern will work hands-on with our Data Science team to ingest, organize, process, and visualize flight test and robotics data. They will also contribute to the development and training ...

New

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

AEVEX

Engineering Intern - Data Science

Dayton, OH

$16.25 - $21.25/hr

The selected intern will work hands-on with our Data Science team to ingest, organize, process, and visualize flight test and robotics data. They will also contribute to the development and training ...

New

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers. Responsibilities * Perform large ...

US Department of the Air Force

$49.96K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ...

US Department of the Air Force

$49.96K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ...

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Intern Data Scientist Graduate information

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$46K

$165K

$243.5K

How much do intern data scientist graduate jobs pay per year?

As of May 31, 2026, the average yearly pay for intern data scientist graduate in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

To excel as an Intern Data Scientist Graduate, you need a solid grounding in statistics, programming (especially Python or R), and data analysis, usually supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries such as scikit-learn or TensorFlow is common, along with experience using data visualization platforms. Strong problem-solving, communication, and teamwork skills help you interpret data and present insights effectively. These competencies are crucial for transforming raw data into actionable information and contributing meaningful value to data-driven projects.

What types of projects can an Intern Data Scientist Graduate expect to work on during their internship?

As an Intern Data Scientist Graduate, you can expect to contribute to real-world projects such as cleaning and analyzing large datasets, building predictive models, and visualizing results to support business decisions. Interns often collaborate closely with experienced data scientists, software engineers, and business analysts, which helps develop both technical and communication skills. These projects are designed to provide hands-on experience with industry-standard tools and methodologies, offering a valuable foundation for a future career in data science.

What does an Intern Data Scientist Graduate do?

An Intern Data Scientist Graduate assists in analyzing large datasets to extract meaningful insights and support decision-making processes. They often work under the guidance of senior data scientists, helping to clean and preprocess data, build predictive models, and visualize results. Additionally, they may contribute to the development and testing of algorithms, participate in team meetings, and present findings to stakeholders. This role provides valuable hands-on experience and is typically aimed at recent graduates or students nearing completion of their studies.

What is the difference between Intern Data Scientist Graduate vs Data Scientist?

AspectIntern Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, computer science, or related field; often requires some experience
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time role, independent project work, collaborative teams
Employer & Industry UsageInternships at tech companies, finance, healthcare, and research institutionsTech firms, finance, healthcare, consulting, and research organizations

The Intern Data Scientist Graduate role is an entry-level position designed for students or recent graduates gaining initial industry experience. In contrast, a Data Scientist is a full-time professional responsible for analyzing data, building models, and deriving insights. The internship offers learning opportunities, while the data scientist role involves independent project execution and strategic decision-making.

What cities are hiring for Intern Data Scientist Graduate jobs? Cities with the most Intern Data Scientist Graduate job openings:
What are the most commonly searched types of Data Scientist Graduate jobs? The most popular types of Data Scientist Graduate jobs are:
What states have the most Intern Data Scientist Graduate jobs? States with the most job openings for Intern Data Scientist Graduate jobs include:
Intern Data Scientist Graduate jobs near you
Data Scientist - Graduate

Data Scientist - Graduate

Nasdaq

Boston, MA • Hybrid

$84K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Data Scientist

At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.

You don't need to know everything on day one - we'll help you build the skills, confidence, and network to grow your career.

What you will do:

  • Design, research & architect AI/ML solutions across the enterprise.
  • Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
  • Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
  • Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.

What we expect:

  • 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
  • Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
  • Understanding of the fundamentals of Statistics & Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
  • Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
  • Fluency in Python and SQL or other similar relational database management systems.
  • Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.

Nice to have:

  • Work experience in a corporate environment or finance/fintech industry
  • Demonstrated interest in finance and/or market microstructure
  • Industry experience with Deep Learning models and methods (Deep Learning Life cycle - from Problem Definition to Model Evaluation and Monitoring)

This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
Applicants must be authorized to work in the United States without the need for employmentbased visa sponsorship now or in the future. Nasdaq will not sponsor applicants for employmentbased visa status for this position.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We're proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq's overall success.

The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq's programs and rewards are intended to allow our employees to:

  • Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.

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