Bilingual Data Scientist
Location Address: 44 King Street W 23rd Floor_Hybrid (2days/week)
Duration: 6+ months extendable contract
FTE: Possible
Bilingual proficiency in English and French
Candidate Requirements/Must Have Skills:
- 1-2 years of experience with Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval Augmented Generation (RAG).
- 1-2 years of hands-on experience with Python (Pandas, Scikit-Learn, NumPy, etc) and SQL (SQL Server, PostgreSQL, BigQuery, etc).
- 1-2 years of experience with Cloud and Big Data ecosystem tools (GCP, Vertex AI, WorkStations, Docker, AirFlow, etc).
- 1-2 years of experience with data engineering and data pipeline skills, with the ability to understand how to efficiently build model pipelines to support production ready models.
Nice-To-Have Skills:
- Strong foundation in data mining and data cleaning to analyze large amounts of structured (Parquet, CSV, etc) and unstructured (XML, JSON, etc) data in a data lake environment and translating data into clear and concise findings.
- An excellent understanding and hands-on experience of Predictive Analytics and Machine Learning techniques like transformers, NLP, clustering and other similar techniques.
- Exposure to version control systems (e.g. Git)
- Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake is an asset.
- Knowledge of Banking products and services is an asset.
