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Statistics Internship Jobs in Kentucky (NOW HIRING)

$85 - $110/hr

... internships; assisting in curricular planning; and related departmental and institutional service. Position Qualifications The successful candidate will be the third statistics and data science ...

New

... Statistics, or a closely related field * Must be available to work full-time, 40 hours per week ... Prior internship, work, research, or project experience in an actuarial, analytical, mathematical ...

... Statistics, or a closely related field * Must be available to work full-time, 40 hours per week ... Prior internship, work, research, or project experience in an actuarial, analytical, mathematical ...

... Statistics, or a closely related field * Must be available to work full-time, 40 hours per week ... Prior internship, work, research, or project experience in an actuarial, analytical, mathematical ...

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

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Statistics Internship information

See Kentucky salary details

$7

$15

$20

How much do statistics internship jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for statistics internship in Kentucky is $15.03, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $16.68 per hour, depending on experience, location, and employer.

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.

What are some typical projects or tasks that a statistics intern works on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

What are the key skills and qualifications needed to thrive as a statistics intern, and why are they important?

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are the most commonly searched types of Statistics jobs in Kentucky?

The most popular types of Statistics jobs in Kentucky are:

What cities in Kentucky are hiring for Statistics Internship jobs?

Cities in Kentucky with the most Statistics Internship job openings:

Infographic showing various Statistics Internship job openings in Kentucky as of August 2026, with employment types broken down into 8% Internship, 59% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $31,262 per year, or $15 per hour.

Assistant Professor, Data Science and Statistics

On-site

$85 - $110/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Lawrence University – Assistant Professor, Data Science and Statistics Company Name Lawrence University Position Title Assistant Professor, Data Science and Statistics Company Information

Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.

We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence’s flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students’ fundamental skills as readers, writers, and thinkers.

Duties and Responsibilities

Primary duties include: teaching two undergraduate courses in each of Lawrence’s three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service.

Position Qualifications

The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.

Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).

In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.
Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.

We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).

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