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Procter & Gamble

Data Scientist (Master's Degree) Internship

Procter & Gamble is hiring a Data Scientist (Master's Degree) Internship. It pays $29-$50/hr and Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • On Level's scale, this data scientist role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions TensorFlow, Keras and Python among its tools and skills.
  • Level classes it as an internship.
  • Procter & Gamble has 873 other open roles on Level.

AI in this role

Design, develop, and scale data science algorithms and predictive models as an intern at P&G.

TensorFlowKerasPythonRSQL
machine-dataalgorithm-developmentpredictive-modelingexploratory-data-analysisbig-data

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work?

Data Science is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver groundbreaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our innovative shared services organization, your technical skills will be recognized and rewarded. Your real passion for the industry will be further cultivated by our culture of continued learning and growth as a Data Science professional.

In this role, you will be using Big Data and advanced analytics to advise the engagement of our business leaders. You'll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can implement research and analytics, including data source identification, processing, model/algorithm development. Ultimately you will be turning insights into measurable recommendations which will drive business value creation.

  • Algorithm Design & Development: Directly contribute to the design and development of scalable Data Science algorithms.

  • Collaboration: Work closely with Data and Software Engineering teams to effectively productionize algorithms.

  • Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.

  • Coaching & Mentorship: Develop others as a technical coach, sharing your expertise and insights.

  • Expertise Development: Become a known expert in one or multiple Data Science techniques and methodologies.

As an intern, you will experience a subset of the above responsibilities

Job Qualifications

Required:

  • You must be available during the summer of 2027 for a 12 week internship from mid/late May through early August.

  • Currently pursuing a Master's in Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field.

Preferred:

  • Proven leadership in applying and scaling Analytic techniques to deliver measurable insights from data.

  • Strong written and verbal communication skills to influence others to take action

  • Proven ability to balance multiple priorities

  • Comfort working with diverse business scenarios and possessing strong thinking/problem-solving skills to business processes with a "can-do" attitude

  • Strong passion and curiosity about the intersection of business and technology

  • Preferred Experience with Analytical Tools/Applications:

  • Unix/Linux

  • Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv

  • Scientific Computing: R, Python, C++, Java, Scala,

  • High-Performance Parallel and Distributing Computing

  • Deep Learning frameworks: Keras, Tensorflow

  • Data Visualization

  • Data Management Systems

  • Business Intelligence tools: such as KNIME, Tableau

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.

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.

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

R000157504

Job Segmentation

Internships

Starting Pay / Salary Range

$29.00 - $50.00 / hour

How we rate this

Data Scientist (Master's Degree) Internship at Procter & Gamble rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine DataAlgorithm DevelopmentPredictive ModelingExploratory Data AnalysisBig DataTensorFlowKerasPython

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$168k

Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where machine data was part of your work. What did you do?
  2. Tell me about a project where algorithm development was part of your work. What did you do?
  3. Tell me about a project where predictive modeling was part of your work. What did you do?
  4. Tell me about a project where exploratory data analysis was part of your work. What did you do?
  5. Tell me about a project where big data was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine Data, Algorithm Development, Predictive Modeling, Exploratory Data Analysis, and Big Data. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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