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Internship Data Scientist Graduate Jobs (NOW HIRING)

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 ...

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 ...

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

... including internships, part-time positions, and graduate level education * Desired Skills ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

... including internships, part-time positions, and graduate level education Desired Skills ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support * Manage multiple projects independently, effectively prioritizing ...

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Required : • Graduate degree in Data Science, Computer Science, Statistics, or a related field • Minimum, cumulative GPA of 3.00 for all degrees earned • 4+ years of hands-on experience in data ...

Data Scientist

Boston, MA

$120K - $135K/yr

Graduate degree in Data Science, Computer Science, Statistics, or a related field * Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics ...

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

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Internship Data Scientist Graduate information

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$46K

$165K

$243.5K

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

As of Jun 9, 2026, the average yearly pay for internship 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 is an Internship Data Scientist Graduate?

An Internship Data Scientist Graduate is a recent graduate or student in a data science or related field who is gaining practical experience through an internship. Their role typically involves working with large datasets, applying statistical analysis, building machine learning models, and supporting data-driven decision making within a company. This internship allows them to develop technical skills, learn industry tools and practices, and gain exposure to real-world business problems. It often serves as a stepping stone to a full-time data science position after graduation.

What types of projects and team collaborations can I expect as an Internship Data Scientist Graduate?

As an Internship Data Scientist Graduate, you'll typically work on real-world projects such as data cleaning, exploratory analysis, and building predictive models under the supervision of experienced data scientists. You'll collaborate closely with cross-functional teams, including engineers, business analysts, and product managers, to understand project requirements and deliver actionable insights. Interns are often encouraged to present their findings and contribute to team meetings, providing an excellent opportunity to develop both technical and communication skills. You'll also receive mentorship and constructive feedback, which can help accelerate your learning and professional growth in the data science field.

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

AspectInternship Data Scientist GraduateData Scientist
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldBachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; often requires some experience
Work EnvironmentTemporary, entry-level position often in a corporate or research setting, focused on learning and support tasksFull-time role with responsibilities including data analysis, modeling, and project development
Employer & Industry UsageUsed by companies for training and talent pipeline; common in tech, finance, healthcareEstablished role in various industries including tech, finance, healthcare, and consulting

The main difference is that an Internship Data Scientist Graduate is a temporary, entry-level position aimed at gaining experience, while a Data Scientist is a full-time professional role with ongoing responsibilities and expertise in data analysis and modeling.

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

To thrive as an Internship Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or coursework in data science or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow) is highly valuable, and exposure to cloud platforms like AWS or Azure is a plus. Strong problem-solving skills, curiosity, and effective communication help you stand out by enabling you to interpret data insights and share findings with non-technical stakeholders. These skills ensure you can extract meaningful insights from data and contribute effectively to projects in a collaborative environment.
More about Internship Data Scientist Graduate jobs
What cities are hiring for Internship Data Scientist Graduate jobs? Cities with the most Internship 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 Internship Data Scientist Graduate jobs? States with the most job openings for Internship Data Scientist Graduate jobs include:
What job categories do people searching Internship Data Scientist Graduate jobs look for? The top searched job categories for Internship Data Scientist Graduate jobs are:
Infographic showing various Internship Data Scientist Graduate job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist - Graduate

Data Scientist - Graduate

Nasdaq

Boston, MA • On-site

$84K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 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 employment-based visa sponsorship now or in the future. Nasdaq will not sponsor applicants for employment-based 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