Description

You will develop and implement machine learning and natural language processing algorithms to extract insights from large datasets and build new products.

This role is on-site.

Responsibilities

• Develop and implement ML and NLP models to analyze and interpret complex datasets.
• Perform data mining and pre-processing to prepare datasets 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.
• Communicate findings and data-driven strategies to technical and non-technical stakeholders.

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 diverse machine learning techniques and their practical application.
• Strong statistical and analytical skills.
• Experience with cloud computing services.
• Ability to translate complex data insights for non-technical business audiences.

Preferred Skills

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

Key Skills

Education

Any Graduate