Predictive Analytics Intern Jobs in Lyndhurst, NJ

Introduction

This role is for an internship in Summer 2027. The Internship is expected to start on Monday, May 24th with an end date of Friday, August 13th. Candidates must be available to start and end on these days.

At IBM, we believe technology shapes the world, and we are a catalyst for innovation and creativity. We are at the forefront of groundbreaking change - improving businesses, society, and the human condition. As a leader in Hybrid Cloud and AI, we are leading the charge in a worldwide digital transformation.

Our Performance Marketing team drives scalable and predictable revenue growth. We exist to generate demand for IBM's products and offerings - and to convert that demand into measurable pipeline and business impact. As part of our team, you'll be surrounded by bright minds and keen collaborators - always willing to help and be helped - as you apply passion to work that will compel our audience to choose IBM's products and services.

When you join IBM, you join a culture of openness, collaboration, and trust. You join a team of IBMers who are helping technology support a positive global transformation. So join us and experience a place where you can co-create your learning and opportunities. A place where teamwork and unique ideas are treasured. A place where you can bring innovation to life.

Your role and responsibilities

As a Marketing Data Scientist & Data Analytics Intern, you'll work collaboratively, as part of a team, on a project that addresses a strategic IBM Marketing business challenge. This is a highly visible intern program with leadership exposure throughout the summer. In addition to the project, the internship includes learning and networking opportunities.

This role supports our Performance Intelligence team, which is responsible for building intelligence that powers and orchestrates performance across tactics and buyer groups. As an intern, you may:

• Develop scalable analytical solutions that provide data-driven and optimization insights
• Work with large, complex data sets and extract knowledge or insights to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conduct end-to-end analysis that includes industry research, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

This role is based in New York City. We work in a hybrid environment. This position will be required to come into the office at least three days per week.

This role will be posted until September 25. We will review all applications.

IBM will not be providing Visa sponsorship for these positions now or in the future. Therefore, to be considered for this position, you must have the ability to work without a need for current or future Visa sponsorship. Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

• Currently pursuing a graduate degree in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data
• Available for an internship in Summer 2027
• Completing your degree program between Fall 2027 and Summer 2028
• Experience using technology to work with datasets such as Scripting, Python, statistical software (SPSS, SAS, R, or similar)
• Experience with statistical analysis such as linear models, multivariate analysis, clustering, time series, mixed model, and Bayesian methods.
• Data Visualization Tools (PowerBI, Tableau,etc)
• Data warehousing and ETFL
• Fluent in English; strong written and verbal communication skills

Preferred technical and professional experience

• Currently pursuing a PhD in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data.
• Advanced knowledge and experience working with large data sets and applying data mining / predictive modeling techniques to extract meaningful insights
• Strong track record of developing intellectual capital such as published works.
• Basic knowledge of marketing or related field
• Passion for advancements in Data Science and Predictive Analytics
• A strategic, consultative, data-driven mindset

ABOUT BUSINESS UNIT

IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

2027 Masters or PhD Intern - Marketing Data Science & Data Analytics

Date posted

03-Sep-2026

Job ID

131179

City / Township / Village

New York

State / Province

New York

Country

United States

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

84,000.00

Projected Maximum Salary per year

154,000.00

Position type

Internship

Travel required

Up to 20% or 1 day a week

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No