Data Science Intern

INTERNSHIP OPPORTUNITY

The Data Science Intern(s) will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to analyze, extend, and build on Viking’s significant repository of alternative data assets and generate actionable investment insights.

We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. This is a 10-week internship taking place over the summer.

Informational webinar: October 21, 6:00-7:00pm ET. Register Here

 

RESPONSIBILITIES

Data Science Intern(s) will have the opportunity to develop impactful analyses and insights to be used

across our investment process and organization. Activities could include but are not limited to:

• Build and deliver predictive analytics on companies, sectors, and macroeconomic trends
• Translate alternative data analysis into actionable insights for the investment team
• Develop methodologies to identify and evaluate investment opportunities in private companies
• Identify and evaluate new data sources
• Streamline the data life cycle, operating model, and process
• Test and evaluate new technologies to enhance our big data platform
• Create centralized and automated analyses and processes

• Contribute to Viking’s overall research effort by sharing information and insights across the firm

 

QUALIFICATIONS

Across the firm, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the following traits:

• A strong performer currently pursuing a Master’s degree or a PhD program (3rd year and above) in Data Science, Economics, Finance, Statistics, Operations Research, or related quantitative fields
• Strong communication skills, with the ability to convey complex ideas to a non-technical audience
• Independence of thought and ability to carry out a research project with partial supervision
• Proficiency in Python and statistical libraries, and working knowledge of SQL, BI software (e.g., Tableau), cloud technologies, and modern LLM tooling (Claude Code, Codex, etc.)
• Sound judgment and ability to take a step back from the analysis and look at the big picture
• Passion for research, proactive and self-motivated
• Commitment to excellence

 

APPLICATION:

• Please submit your resume / application through the Viking career site via this link: Here 
• Please merge your resume and brief research supplement into a single PDF file (resume first, supplement second) before submitting. Applications missing either component will not be reviewed. In 1-2 pages, the supplement should describe a quantitative research project that you recently completed. Please include:

• The research question you were trying to answer
• The data you used
• Your approach, including details on the statistical methodologies
• Your findings
• The computational environment (e.g., language, main libraries, etc.)

• Please note our application deadline is November 10, 2026 (11:59PM EST). Incomplete applications will not be considered.
• Interview process: Our interviews will take place virtually in December/January.

 

The base salary range for this position in New York City is annual $175,000 to $250,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus,100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate’s skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/

Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to campusrecruiting@vikingglobal.com.

 

CONTACT:

Viking Campus Recruiting Team

campusrecruiting@vikingglobal.com