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Procter & Gamble

Intern, Talent Analytics & Assessment Science

Procter & Gamble is hiring an Intern, Talent Analytics & Assessment Science. It pays $61/hr and Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • The posting mentions AI safety among its tools and skills.
  • Level classes it as an internship.
  • Procter & Gamble has 872 other open roles on Level.
  • Posted within the past week.

AI in this role

ai-safety

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Role Overview
We are seeking a PhD intern to help solve complex talent and organizational challenges through applied research, analytics, assessment science, and innovation. This internship offers the opportunity to translate doctoral training into practical solutions used by HR and business leaders. The ideal candidate is interested in both workforce insights and selection assessment and is willing to contribute in either or both spaces.


Potential Work Areas

The individual may work in one or both of the following areas, based on business needs, experience, and interests:


  • Talent Analytics & Insights: Use workforce data, employee listening, research, and technology to generate insights on employee experience, retention, leadership pipeline health, workforce planning, and organizational effectiveness; develop scalable analytics and decision-support capabilities.
  • Selection & Assessment: Apply assessment science, psychometrics, research, and technology to develop, validate, evaluate, and improve selection approaches that support effective, fair, and evidence-based talent acquisition decisions.

Key Responsibilities

Depending on assignment, responsibilities may include:

  • Conduct quantitative and qualitative analyses to address high-priority talent, workforce, and organizational questions.
  • Apply research design, measurement, statistical, and psychometric methods to evaluate talent practices, assessments, programs, or pilots.
  • Support the design and evolution of employee listening, workforce analytics, selection, and assessment solutions.
  • Analyze selection assessment data to answer practical business questions about validity, reliability, fairness, candidate outcomes, and process effectiveness.
  • Integrate multiple data sources and translate findings into clear insights and recommendations for HR and business leaders.
  • Explore innovation opportunities with AI and emerging technologies in talent analytics, employee listening, and selection assessment.
  • Partner with global teams and external vendors to solve emerging business challenges.
  • Partner with HR, Talent Acquisition, IT, Data & Analytics, and other teams while progressing multiple workstreams.

Job Qualifications

Required

  • PhD student in Industrial-Organizational Psychology or related field.
  • Within six months of dissertation defense at the start of the internship.
  • Strong foundation in research design, measurement, statistics, and applied organizational research.
  • Ability to communicate complex research and analytical findings clearly.
  • Interest in and willingness to work in Talent Analytics & Insights, Selection & Assessment, or both.

Preferred

  • Experience in employee selection, assessment development or validation, psychometrics, employee listening, employee experience research, or people analytics.
  • Experience with statistical programming, data visualization, or tools such as R, Python, SQL, or Power BI.
  • Familiarity with AI applications, responsible AI, data privacy, or algorithmic assessment.
  • Strong project management, collaboration, and stakeholder communication skills.

At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.


Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.


We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.


Procter & Gamble participates in E-Verify.


Qualified individuals will not be disadvantaged based on being unemployed.


P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Job Schedule

Full time

Job Number

R000162095

Job Segmentation

Internships

Starting Pay / Salary Range

$61.00 - $61.00 / hour

How we rate this

Intern, Talent Analytics & Assessment Science at Procter & Gamble rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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