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Data Science Intern

Mercury

Part-time
USA, Canada
$55 per hour
data science
science
python
sql
Apply for this position

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.

Here are some things you’ll do on the job:

  • 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.

You should:

  • 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.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

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About the job

Part-time
USA, Canada
Entry Level
$55 per hour
Posted 10 hours ago
data science
science
python
sql

Apply for this position

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Data Science Intern

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.

Here are some things you’ll do on the job:

  • 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.

You should:

  • 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.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

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