2026 Data Scientist Intern

Federated Hermes-posted 3 months ago
Intern
Hybrid • Pittsburgh, PA
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
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As a Data Scientist Intern, you will have the opportunity to work with some of the latest technologies in the Azure Cloud potentially including Databricks, Azure Machine Learning, and OpenAI. You will also explore and develop in the full data science lifecycle - from strategy to data preparation and algorithm development to communicating the answer in a way a non-data scientist will understand. A proactive, creative, curious mind-set and a desire to influence your own development will go a long way.

  • Using the latest technologies, develop machine learning algorithms and mathematical models on the Azure platform, e.g., Azure Cloud and Advanced Analytics Platform, Spark via Databricks, OpenAI and other LLMs, PowerBI.
  • Perform large-scale data analysis by applying a research mindset with a bias towards action and an ability to structure the solution from exploration to prototype to implementation.
  • Drive the collection of new data and the refinement / data modeling of existing data sources.
  • Collaborate with other data scientists, data engineers, and business domain experts to identify, analyze, and interpret trends or patterns in complex data sets / develop, prototype and test predictive algorithms.
  • Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
  • Prepare written and verbal communications along with preparing and delivering data science artifacts (abstract, data sources / data dictionaries, code library, research / findings, modeling / deployment report, new ideas / next steps)
  • Participate in a firm-wide intern 'Hack-a-thon'
  • In pursuit of a B.S. or M.S. in a STEM related field (Data Science / Machine Learning, Applied Mathematics, Computer Science, Statistics, Physics and/or a related Advanced Analytics field) required.
  • Professional or academic exposure to data science concepts, mathematical modeling, algorithm development and computational tools on a variety of platforms, frameworks, and methodologies, i.e., Databricks, Python, Spark (PySpark), LLMs, SQL, strongly preferred.
  • Proficiency with data visualization technology and capabilities.
  • Proficiency with programming in Python.
  • Familiarity with varying database structures.
  • Solid, proven grasp of data analysis required; comfort in manipulating and modeling complex, high-volume, high-dimensionality data from disparate sources.
  • Strong written and verbal communication skills.
  • Ability to work independently.
  • Excellent problem solving and decision-making skills.
  • A visionary / innovation mindset with a passion for learning new technologies and translating data into business solutions.
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