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Internship Bayesian Jobs (NOW HIRING)

Proctor & Gamble

... internship from May/early June to August in the summer of 2027, and at least 3 days/week onsite at Winton Hill Business Center. Preferred Qualifications/Experience: * Bayesian optimization * Multi ...

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Costello Medical

Statistician Intern

Boston, MA · On-site +1

$54K - $66K/yr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

Costello Medical

Statistician Intern

Boston, MA · On-site

$54K - $66K/yr

... and Bayesian network meta-analysis using both standard and emerging methods. This internship is ideal for both graduates and current students who are looking to gain experience in the field of ...

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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.

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Internship Bayesian jobs near you
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 Summer Intern, MS/PhD, Data Science - Commercialization Testing

San Francisco, CA • On-site

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

$19.75 - $25.50/hr

Temporary, Internship

Posted 14 days ago

Job description

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

  • Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
  • Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
  • Collaborate with Test Engineers to design experimental procedures on closed courses and simulation environments.
  • Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot operations using Python and SQL.
  • Partner with Systems Engineering, Software Engineering, and Product teams to determine key performance characteristics for model coverage.

You have:

  • Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering (with a focus on traffic/mobility analytics), or a highly quantitative field.
  • Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
  • Proficiency in writing production-quality Python.
  • Strong SQL skills with experience querying and synthesizing data from large-scale databases.
  • Strong communication skills to present complex quantitative results and statistical limitations clearly to non-technical stakeholders.

We prefer:

  • Academic coursework or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility.
  • Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles.
  • Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems.
  • Comfort navigating highly ambiguous, unstructured problems in a fast-paced R&D environment.

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

Apply