Description

You will develop and implement machine learning and natural language processing algorithms to build products for analysts and investors.

This role is on-site.

Responsibilities

• Develop and implement ML and NLP models to analyze complex datasets.
• Perform data mining and preprocessing to prepare data for modeling.
• Evaluate model performance and iterate to improve efficiency and accuracy.
• Manage the full project lifecycle from inception through deployment and post-deployment validation.

Required Skills

• 3 to 5 years of experience in a data science role with ML and NLP exposure.
• Strong programming skills in Python.
• Proficiency with ML and NLP libraries.
• Experience in data mining, preprocessing, and model development.
• Solid knowledge of machine learning techniques and their practical applications.
• Strong statistical and analytical skills.
• Experience with cloud computing services.

Preferred Skills

• Basic understanding of financial research or experience in the financial services industry.

Key Skills

Education

Any Graduate