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... optimization, Bayesian statistics and state estimation • Experience innovating or extending ... internship, work experience, coding competitions, or widely used contributions in open source ...

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Up to 2 years of experience (including internships, academic, or personal projects) building and ... Bayesian models). * Exposure to data and compute platforms such as Snowflake and Databricks.

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How much do internship bayesian jobs pay per hour?

As of Jul 11, 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 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 are the key skills and qualifications needed to thrive as a Bayesian Internship, and why are they important?

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 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:
Infographic showing various Internship Bayesian job openings in the United States as of July 2026, with employment types broken down into 43% As Needed, 24% Full Time, 6% Part Time, 25% Temporary, 1% Nights, and 1% Summer. Highlights an 67% Physical, 2% Hybrid, and 31% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Applied AI ML [Multiple Positions Available]

Applied AI ML [Multiple Positions Available]

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 26 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 490 frontline employees who took The Breakroom Quiz

57th of 148 rated banks


Job description

DESCRIPTION:

Duties: Apply statistical and machine learning methodologies, including causal inference methodologies, and perform advanced analytics to solve business problems. Perform quantitative and statistical analysis of datasets to identify trends, patterns, and correlations that can be used to improve business performance. Generate insights through data analysis and understanding of business processes and turn insights into actionable recommendations using algorithms. Build and deploy prototype solutions to demonstrate ideas and prove concepts. Collaborate with others in the organization to develop new ideas and brainstorm potential solutions. Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues. Act as a subject matter expert and advisor in the analytics discipline and mentor junior team members.

QUALIFICATIONS:

Minimum education and experience required: PhD in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study. The employer will alternatively accept a Master's degree in Quantitative Psychology, Statistics, Mathematics, Economics, or related field of study plus 3 years of experience in the job offered or as Applied AI ML or related occupation. Experience in the occupation may be gained through professional work experience, graduate work experience, internships, or academic training.

Skills Required: This position requires experience with the following: Making predictions and inferences using analytical methods including generalized linear models, non-linear models, ML frameworks including tree-based models, nonparametric models, time series, causal inference and causal estimation including Structural Equation Modeling, and conditional likelihood approaches such as Bayesian analysis; Conducting data interpolation for estimation and inference; Performing heterogeneous data management and programming using a programming language such as R; Writing academic-style documentations. Experience in the skills may be gained through professional work experience, graduate work experience, internships, or academic training.

Job Location: 1111 Polaris Pkwy, Columbus, OH 43240.

Full-Time.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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