Zoetis Inc. Logo

Zoetis Inc.

AI and Analytics Intern

Posted 19 Days Ago
Remote
Hiring Remotely in US
16-40
Internship
Remote
Hiring Remotely in US
16-40
Internship
The AI and Analytics Intern will support digital analytics strategies by executing AI/ML use cases, collaborating with teams, and presenting solutions.
The summary above was generated by AI

States Considered: All

Internship Summary:

The AI & Analytics Intern will report to the Head of Commercial Analytics within the Digital, Data, and Analytics organization, and execute AI, Analytics and Data Science use cases in support of the digital and analytics strategy of Zoetis.

Key Responsibilities:

This position will be accountable to:

  • Employ the full breadth of AI/Machine Learning models, tools, and solutions to execute prioritized analytics use cases across the enterprise.
  • Evaluate and develop prototypes as proof-of-concept exercises for new analytic use cases.
  • Collaborate with Zoetis colleagues and external partner data scientists and analytics professionals to execute analytics use cases.
  • Present data science solutions to business and Zoetis Tech and Digital colleagues in a clear and understandable manner
  • Follow data analytics quality and security standards.
  • Effectively document data science models, methods, and code

Key Requirements, Knowledge, and Skills:

  • In pursuit of MS/Ph.D. degree in Statistics, Predictive Analytics, Data Science, Business Analytics, Computer Science, Econometrics, Mathematics, Operations Research, Applied Engineering, or closely related field with an expected completion date between December 2025 and June 2026
  • Strong understanding and skills in advanced analytics and data science models and methodology, such as statistical analysis, algorithm development, artificial intelligence, machine learning, text mining, natural language processing, and optimization
  • Strong understanding of and experience using data science tools and technology, such as R, Python, SQL, and cloud-based technology
  • Working knowledge of LLM’s and prompt engineering
  • Understanding of basic data engineering concepts, data extraction, transformation, and loading
  • Strong teamwork skills
  • Learning agility and fierce curiosity
  • Strong interpersonal, written, and verbal communication skills
  • Strong problem-solving skills, managing complex cross functional deliverables.
  • Ability to understand complex business problems and translate them into data science solutions.

Travel Requirements: Minimal (0-10%)

Must be authorized to work in the U.S.

The following hourly pay rates reflect the anticipated base pay for this position:

 

If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour

If the selected candidate is a student pursuing an Undergraduate-level degree: $20.00 per hour

If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour

If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour

 

 

The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, Washington (Seattle area):

 

Student pursuing an Associate-level degree: $17.00 per hour

Student pursuing an Undergraduate-level degree: $22.00 per hour

Student pursing a Graduate-level degree: $36.40 per hour

Student pursuing a Doctorate-level degree: $40.30 per hour

Full time

Intern (Trainee)

Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at [email protected] to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at www.Zoetis.com/careers site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

Top Skills

AI
Cloud-Based Technology
Machine Learning
Python
R
SQL

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