My client is a Top Tier Global Bank. They are looking for a Data Scientist who can help to build Machine Learning models, working along with a team of data scientists.

Responsibilities:

• Design algorithms, build models, and prototype solutions for multiple projects.
• Apply cutting edge machine learning systems and modeling to extract insight from vast amounts of data
• Design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights
• Driving and managing multiple projects from research, planning, designing to final delivery
• Use a scientific method and strive for positive results at all times, balanced with working in an 'Agile' way to achieve rapid turnaround.

Requirements:

• Strong academic background with at least a Masters in Computer Science, Mathematics or other quantitative fields
• Hands-on experience in the research, design and evaluation of machine learning approaches (regression, clustering, SVM, neural networks and dimensionality reduction techniques) to solve real world problems.
• Extensive knowledge in quantitative and statistical skills including clustering, machine learning, deep learning, NLP, etc.
• Proficiency in Python; with familiarity in ML packages such as Tensorflow, PyTorch etc.
• Ability to communicate technical concepts and results to a non-technical audience and a keen interest in understanding business requirements