Hybrid Summer Data Scientist Intern - Alternative Data

M Science; New York (NY); Hybrid; USD 34,000 - 48,000; Part time

Job summary

M Science is seeking a motivated Data Scientist Intern for Summer 2027 in New York, hybrid work. You will gain hands-on experience building data pipelines, developing AI/ML tools, and applying statistical models to real-world alternative datasets used by hedge funds and asset managers.

You will work with senior data scientists and engineers to support impactful research, learn Databricks, Spark, and PySpark, and contribute to analytics used by institutional clients in a 10–12 week,

Qualifications

• Currently pursuing a Bachelor’s or Master’s degree with anticipated graduation between December 2027 and May 2028.
• Strong programming skills in Python and SQL; experience with PySpark/Spark is a plus.
• Familiarity with cloud platforms (AWS, Databricks) and distributed data processing.

Responsibilities

• Assist in building and optimizing data ingestion pipelines using Python, SQL, Databricks, and Spark.
• Support the development of AI/ML workflows and agents for automated insights, data analysis, and forecasting.
• Contribute to data testing, validation, and quality assurance, including anomaly detection and error handling.
• Process, cleanse, and verify the integrity of large and complex datasets.
• Help evaluate new alternative data assets for potential research and investment use.
• Work with senior data scientists to implement and document unit-tested analytics tools and models.
• Collaborate with cross-functional teams to support analytics, research, and client deliverables.

Skills

Python

SQL

PySpark

Communication

Analytical thinking

Detail-oriented

Education

Bachelor’s or Master’s degree in CS/DS/Statistics/Math/Engineering

Tools

Databricks

AWS

Spark

Job description

M Science is seeking a motivated Data Scientist Intern for Summer 2027 in New York, hybrid work. You will gain hands-on experience building data pipelines, developing AI/ML tools, and applying statistical models to real-world alternative datasets used by hedge funds and asset managers.

You will work with senior data scientists and engineers to support impactful research, learn Databricks, Spark, and PySpark, and contribute to analytics used by institutional clients in a 10–12 week,