6 days ago

Data Science Intern

Mercury

Hybrid
Intern
$26,400
Hybrid

Job Overview

Job TitleData Science Intern
Job TypeIntern
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$26,400
LocationHybrid

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Job Description

Data Science Intern at Mercury

In the 1950s, Norman Borlaug embarked on an effort to breed a new type of wheat that was disease resistant and had higher yields. In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.

At Mercury, we believe meaningful impact comes from pairing curiosity with rigor. We’re looking for Data Science Interns who're excited to learn how data informs product decisions at a fast-growing fintech company. In this role, you’ll work closely with experienced Data Scientists and cross-functional partners to explore data, answer real business questions, and help Mercury better serve its customers.

As a Data Science Intern, you’ll join a team that aligns with your goals and interests. During the interview process, you’ll have the opportunity to talk through the various team openings.

What You'll Do

  • Work with Data Scientists and Product partners to break down business questions into measurable problems.
  • Explore product and transactional data to identify trends, behaviors, and opportunities.
  • Define, calculate, and monitor key metrics that track product performance and customer outcomes.
  • Build dashboards, visualizations, and written summaries that clearly communicate insights.
  • Support experiment analysis (A/B tests), cohort analysis, segmentation, and statistical modeling.
  • Contribute to projects that directly inform product strategy and business decisions.
  • Gain exposure to how production data models and pipelines are built in a high-growth fintech environment.

What You Should Bring

  • Be comfortable writing SQL and/or using a statistical programming language (e.g., Python) to analyze data.
  • Be motivated to deepen your analytical toolkit, learn new methods quickly, and leverage modern tools like AI to accelerate your work thoughtfully.
  • Bring curiosity and thoughtful perspectives to ambiguous problems.
  • Hold a high bar for quality and care about getting the details right.
  • Communicate clearly, including writing concise explanations of your approach and reasoning.

This is a paid full-time remote summer internship for 10-14 weeks between May-September. Our internship program is intended for individuals enrolled in an academic program (undergraduate, graduate, MBA, etc.). Individuals interested not enrolled in an academic program at this time are encouraged to apply to any of our full-time openings.

In terms of compensation, the hourly rate for candidates based in the US is $55. The hourly rate for candidates based in Canada is CAD 55.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Statistical Modeling
  • A/B Testing
  • Data Visualization
  • Product Strategy
  • Business Intelligence
  • Metric Definition
  • Problem Solving

Tags:

Data Scientist
Intern
data analysis
statistical modeling
A/B testing
data visualization
product strategy
business intelligence
experiment analysis
metric definition
insight communication
problem-solving
SQL
Python
data visualization tools
AI
statistical programming
dashboards
experimentation platforms
data pipelines
production models
fintech platforms

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How to Get Hired at Mercury

  • Research Mercury's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your application to highlight relevant data science projects, SQL, and Python skills.
  • Highlight data skills: Showcase experience in data exploration, metric definition, and experiment analysis.
  • Prepare for interviews: Practice explaining your analytical approach and reasoning for ambiguous problems.
  • Show your curiosity: Demonstrate a proactive attitude towards learning new methods and leveraging modern tools like AI.

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