Data Scientist/Data Engineer Intern

Job description

Description

To compute the most relevant environmental scores (like the 2° alignment and the biodiversity impact) of every company, we need a rich database, relying on multiple sources - often unstructured - an efficient impact computation, and frequent deep analyses on the quality of our scoring.

Among the ~35 companies employees, the Data Team (4 people) is part of the IT team (12 people) and is looking for an intern to:

·  Improve our data extractor pipeline which leverages ML models and Large Language Models (LLM) APIs and models (and a bunch of other nice tech bricks) to extract automatically the right data into the right format.
·  Search and collect new data sources (GHG emissions from companies, assets, natural protected areas, tons of products produced, consumed, companies facilities, etc.)
·  Automatically detect discrepancies between the default model and all refinements brought by our analysts.
·  Handle our big company database and its evolution in time.
·  Build new products that are made possible with LLM.
·  Benchmark our scores against academic environmental papers. #J-18808-Ljbffr

Lettre de motivation requise

Non