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Graduate Data Science Intern Jobs in New York (NOW HIRING)

Senior Data Scientist

New York, NY · On-site

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

... Science, Engineering or relevant field Preferred : • graduate degree in Data Science or other quantitative field Company : Forhyre is an intelligent augmentation ( IA ) platform, enabling a ...

Showing results 41-60

Graduate Data Science Intern information

What does a graduate data science intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What types of projects do graduate data science interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in New York?

For Graduate Data Science Intern jobs in New York, the most frequently searched job titles are:

What job categories do people searching Graduate Data Science Intern jobs in New York look for?

The top searched job categories for Graduate Data Science Intern jobs in New York are:

What cities in New York are hiring for Graduate Data Science Intern jobs?

Cities in New York with the most Graduate Data Science Intern job openings:

Infographic showing various Graduate Data Science Intern job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

2027 Technology, Data, AI & Ventures Summer Internship Program - Data Scientist Intern

New York Life

Manhattan, NY • Hybrid

$30 - $35/hr

Full-time, Temporary, Internship

Re-posted yesterday


Job description

Job Requisition ID: 94550

Location Designation: Hybrid - 3 days per week 

 

Program Overview: 

 

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees. Grounded in New York Life's culture of long-term commitment, integrity and putting people at the center of what we do, our work reflects a purpose-driven approach to innovation.

We engineer complex systems that translate into measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leading-edge technologies and help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.


Shape your future with a dynamic internship experience at New York Life. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, a collaborative intern capstone, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.

What You'll Do: 

Focus on building and enhancing statistical and machine learning solutions, applying advanced tools and techniques to develop transformative AI and GenAI solutions for New York Life. Work closely with product, engineering, and business stakeholders to translate business questions into model-driven solutions. Contribute to the analytical model lifecycle, from problem framing and exploratory analysis through feature engineering and model validation. Communicate findings and business implications to both technical and non-technical audiences.

Required Skills: 

  • Undergraduate or Graduate student pursuing a degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related technical field
  • Proficiency in R, Python, SQL, traditional Machine Learning and core statistical methods including probability, hypothesis testing, and statistical inference 
  • Additionally, a foundational understanding of generative AI principles, including LLMs, RAG, vector embeddings, prompt engineering, and LLM-based application development with pre-trained and fine-tuned models.

Eligibility Criteria: 

  • Currently pursuing a bachelor's or master's degree with an expected graduation date of December 2027 or May 2028
  • Available to work full-time for the entire duration of the 11-week Summer Internship Program (May 25 - August 6, 2027)
  • Able to work in a hybrid environment, with three days per week on-site in New York City
  • Passionate about technology, data, AI, and innovation, with a collaborative mindset and a desire to learn and make an impact

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT). 

As part of the Technology, Data & Analytics Ventures (TDAV) Internship Program, this posting represents one of seven specialized internship opportunities: AI Engineer (MLOps), Software Engineer, Data Engineer, Platform Engineer, Security Engineer, Data Scientist, and Analyst. We encourage candidates to explore all available TDAV internship postings and apply for the role(s) that best align with their skills, interests, and career aspirations.

Curious what it's like to intern at NYL? Check out #NYLEarlyCareers on LinkedIn!

#AICampus#LI-CV1

Pay Transparency

Salary Range: $30-35/hour + $3,000 bonus 

Overtime eligible: Exempt 

Discretionary bonus eligible: No 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Job Requisition ID: 94550


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About NorCal Orange

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

11 - 50 Employees

Headquarters location

Syracuse, NY, US