2025 University Recruiting - Forecasting Capabilities and Data Science Intern

Job Description

Position Overview:

Are you looking for an opportunity to apply your data science and AI skills to forecasting? 

The Future Talent Program features internships that last up to 12 weeks and will include one or more projects. The opportunities with the Human Health Digital, Data and Analytics (HHDDA) team can provide you with a great opportunity to showcase your skills and see if we are the right company for your career goals.

The Forecasting Capabilities team within Integrated Research and Forecasting (IRF) is seeking summer interns who can leverage statistics, data science, and AI, to develop high-quality forecasts and visualizations that help drive decision making across the organization. 

You will collaborate with stakeholders to understand forecasting use cases and enhance existing solutions or build new solutions.

Learning opportunities for the prospective intern include:

• Professional Development: The intern will gain hands-on experience in forecasting, data analytics, data visualization development, AI applications, and stakeholder management in a professional setting.

• Networking Opportunities: The intern will have the opportunity to work with a team of professionals and experts, building a strong network and potential references for their future career.

• Contribution to an Innovative Project: The intern will contribute to an innovative project with practical real-world application.

Minimum Education Requirements:

• Candidates must be currently enrolled in a full-time BS/BA, MS, or PHD degree in Economics, Statistics, Data Science, computer science, or a related discipline.

• Must have completed at least (2) years of studies towards a Bachelor’s degree by June 2025

Preferred Skills:

• Candidates must be able to commit to full-time onsite (or hybrid if applicable) employment for 10 - 12 weeks beginning June 2025

• Candidates should have Excellent interpersonal, communication, and organization skills.

• Experience in working with data, time series forecasting (univariate and multivariate), and predictive modeling (Random Forest, XGBoost, etc) using Python.

• Strong understanding of statistical modeling techniques and methodologies. Ability to work with large datasets and apply statistical models to derive actionable insights and predictions.

• Knowledge of attention based large language models (LLMs) and their application to natural language processing (NLP) and time series forecasting.

• Candidates should have some understanding of GenAI and prompt engineering. 

• Experience with data visualization tools such as Power BI/ Qlik/ Spotfire or other BI technologies is preferred. 

• Candidates should have a GPA of 3.0 or higher.

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

$39,600.00-$105,500.00 

MHH2025

FTP2025

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

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U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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