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Summer Data Scientist Graduate Jobs (NOW HIRING)

Data Scientist - Graduate

Boston, MA ยท 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 - Graduate

Boston, MA ยท 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 ...

Graduate Intern Role Founded in 1977 as the Senior Care Action Network, SCAN began with a simple ... interest in applying data science to real world healthcare challenges. This 8 week summer ...

The Job This graduate intern role applies data science and advanced analytics to generate insights ... This 8 week summer internship runs from June 22 through August 14, with a possible extension based ...

Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred. * Experience: * 7+ years of directly related data science ...

Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred. * Experience: * 7+ years of directly related data science ...

Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred. * Experience: * 7+ years of directly related data science ...

Our four-day week continues in Summer 2026! As a Data Scientist , you will be key member of the data science team, working on the development of machine learning solutions for new and existing ...

$85.80K/yr

Graduate Data Scientist Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries Permanent or fixed-term At Bending Spoons, we're striving to build one of ...

New

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

Data Scientist

Austin, TX ยท On-site +1

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

Gain real-world experience with today's leading technologies in programming, machine learning models, or data science applications. EXPERIENCE YOU'll NEED: * Graduate or completing a bachelor's or ...

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 ...

Data Scientist

New York, NY ยท On-site +1

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ...

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

Data Scientist

Boston, MA ยท On-site

$120K/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 ...

Data Scientist

New York, NY ยท On-site

$140K - $155K/yr

Data Scientist Overview The Data Management, Engineering and Analytics team at David Yurman (DY) is ... Summer Fridays (corporate roles), generous paid time off, sick time, and more. Diversity, Equity ...

Data Scientist

Herndon, VA ยท On-site

$112K - $179K/yr

Professional or graduate certificate in Data Science from a university or major online learning platform, * Experience working in the customer environment is preferred. Security Clearance: This ...

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Summer Data Scientist Graduate information

See salary details

$37.5K

$122.7K

$196.5K

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

As of May 28, 2026, the average yearly pay for summer data scientist graduate in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Summer Data Scientist Graduate, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with data manipulation tools (such as Pandas, SQL), machine learning libraries (like scikit-learn or TensorFlow), and data visualization platforms is often required. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help set candidates apart. These skills and qualities are essential for effectively analyzing data, deriving meaningful insights, and contributing to data-driven decision-making within a short internship timeframe.

What kinds of projects and responsibilities can a Summer Data Scientist Graduate expect during their internship?

As a Summer Data Scientist Graduate, you can expect to work on real-world data problems such as building predictive models, cleaning and analyzing datasets, and presenting actionable insights to stakeholders. You'll likely collaborate closely with experienced data scientists, software engineers, and business analysts in a team environment. Common challenges include learning to navigate complex datasets, mastering new analytical tools quickly, and effectively communicating technical findings to non-technical audiences. This role offers an excellent opportunity to gain hands-on experience, receive mentorship, and potentially secure a full-time position post-graduation.

What is a Summer Data Scientist Graduate?

A Summer Data Scientist Graduate is typically a recent or soon-to-be graduate in a quantitative field who is participating in a temporary internship or work placement during the summer months. Their main responsibilities often include analyzing large datasets, building predictive models, and supporting ongoing data-driven projects. These positions provide hands-on experience with real-world data science tools and methodologies, helping graduates transition from academic studies to professional roles. Summer Data Scientist Graduate roles are a great way to develop technical skills, gain industry exposure, and network with professionals in the field.

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

AspectSummer Data Scientist GraduateSummer Data Analyst Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldOften pursuing or holding a degree in Business, Economics, or related field
Work EnvironmentResearch-focused, developing models, advanced analyticsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, consulting firms

The Summer Data Scientist Graduate role generally involves advanced analytics, machine learning, and model development, requiring specialized skills. In contrast, the Summer Data Analyst Intern focuses on data cleaning, reporting, and basic analysis. Both roles are valuable entry points but differ in complexity and focus areas.

What cities are hiring for Summer Data Scientist Graduate jobs? Cities with the most Summer 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 Summer Data Scientist Graduate jobs? States with the most job openings for Summer Data Scientist Graduate jobs include:
Data Scientist - Graduate

Data Scientist - Graduate

Nasdaq

Boston, MA โ€ข Hybrid

$84K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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.