1

Internship Bayesian Jobs (NOW HIRING)

The Internship is expected to start on Monday, May 24th with an end date of Friday, August 13th ... Bayesian methods. * Data Visualization Tools (PowerBI, Tableau,etc) * Data warehousing and ETFL

Master's preferred * 0-2 years of relevant experience; internships, co-ops, research assistantships ... Bayesian approaches) * Interest in convex optimization, optimal control, or model-predictive ...

$115K - $174K/yr

... internships, or personal projects * Grounding in probabilistic state estimation (Kalman filters, particle filters, Bayesian inference), whether from taught modules, research, or self-directed work

... Bayesian methods, causal inference, longitudinal modelling, and machine learning. * Develop and ... Mentor and develop statisticians, scientists, contractors, and interns, providing scientific ...

Showing results 41-60

Internship Bayesian information

See salary details

$9

$17

$23

How much do internship bayesian jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for internship bayesian in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in Bayesian analysis?

An Internship in Bayesian analysis is a temporary, practical position focused on applying Bayesian statistical methods to real-world problems. Interns typically work under the supervision of experienced data scientists or statisticians, assisting with research, data modeling, and computational analysis using Bayesian techniques. These internships are valuable for students or recent graduates looking to gain hands-on experience in probabilistic modeling, data analysis, and statistical inference. Such internships often require a strong mathematical background and familiarity with programming languages like Python or R.

What are the key skills and qualifications needed to thrive as a Bayesian intern?

To thrive in a Bayesian Internship, you need a solid background in statistics, probability theory, and data analysis, typically supported by coursework or a degree in mathematics, statistics, or a related field. Familiarity with programming languages such as Python or R, and experience with statistical software and Bayesian modeling tools (e.g., Stan, PyMC) are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with research teams. These skills are essential for accurately applying Bayesian methods to real-world data and effectively communicating insights.

What are some common challenges interns face when working on Bayesian analysis projects, and how can they overcome them?

Interns working on Bayesian analysis projects often encounter challenges such as understanding complex statistical principles, learning new software (like Stan or PyMC), and interpreting probabilistic results. To overcome these obstacles, it's helpful to actively seek guidance from mentors, participate in team discussions, and utilize available learning resources. Collaborating closely with experienced team members and regularly reviewing project code and results can accelerate learning and help interns gain confidence in applying Bayesian methods to real-world problems.

What is the difference between Internship Bayesian vs Data Analyst Intern?

AspectInternship BayesianData Analyst Intern
Required CredentialsRelevant coursework in Bayesian statistics, basic programming skillsStatistics, data analysis, programming knowledge
Work EnvironmentResearch-focused, collaborative teams in tech or research firmsBusiness or tech companies, data-driven projects
Employer & Industry UsageUsed in research, AI, machine learning sectorsCommon in finance, marketing, tech industries
Search & Comparison IntentUnderstanding roles involving Bayesian methodsExploring data analysis internship opportunities

Internship Bayesian typically involves applying Bayesian statistical methods in research or AI projects, requiring knowledge of Bayesian theory and programming. Data Analyst Internships focus on analyzing datasets, creating reports, and supporting business decisions. While both roles involve data skills, Internship Bayesian emphasizes probabilistic modeling, whereas Data Analyst Internships focus on data visualization and reporting.

More about Internship Bayesian jobs

What cities are hiring for Internship Bayesian jobs?

Cities with the most Internship Bayesian job openings:

What are the most commonly searched types of Bayesian jobs?

The most popular types of Bayesian jobs are:

What states have the most Internship Bayesian jobs?

States with the most job openings for Internship Bayesian jobs include:

What other helpful pages are available for Internship Bayesian?

Other pages related to Internship Bayesian:

Infographic showing various Internship Bayesian job openings in the United States as of September 2026, with employment types broken down into 16% Internship, 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

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

Manhattan, NY • On-site

IBM
IT Services • 10K+ employees

Other

Posted 11 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz


Job description

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 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
  • Strongtrack recordof developing intellectual capital such as published works.
  • Basic knowledge of marketing or related field
  • Passion for advancements in Data Science and Predictive Analytics
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.
  • 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.

Projected Minimum Salary per year

84,000.00

Projected Maximum Salary per year

154,000.00

Position type

Internship

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?

#J-18808-Ljbffr

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media