Data Scientist/Data Engineer Intern
Iceberg Data Lab is a Fintech developing data solutions to help financial institutions assessing their environmental impact with a strong focus on biodiversity, climate, and pollution prevention and control.

Faced with growing demand from regulators and stakeholders and mounting environmental risks, Financial institutions need reliable data solutions. We help them (1) measuring their environmental impact and (2) aligning it to their ESG goals.

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

Among the ~45 companies employees, the Data Team (5 people) is part of the IT team (15 people) and is looking 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, quantities 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.

Skills expected
Minimum: Python, Data Science, data analysis, data engineering, Pandas, SQL, Git, interest in environmental issues.

Optional: Machine Learning, Docker, Langchain, Ollama, Airflow, FastAPI, ElasticSearch, Streamlit, Spark, Kubertnetes, Celery, Ruby, Financial or environmental knowledge.

When?
Starting around April 2025

Process
15 min call, then 1H technical interview.

Send your resume to pdsagathe[at]icebergdatalab.com