Head of Data Science Head of Data Science …

Charterhouse Partnership Singapore
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 27 May 20
Competitive
Charterhouse Partnership Singapore
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 27 May 20
Competitive
My Client is an established Financial Institution in the Asset management industry. As part of their digital transformation, they are in search for a Data science team lead with a creative and innovative mind to design and implement analytical solutions using advance statistical and machine learning techniques.

Responsibilities:

Lead and drive group-level strategic thinking of data science development and practice, researching and experimenting on new analytical methods and tools towards the deepening of capabilities

Engage senior management team to identify business opportunities and establish new business models using data driven process according to organization data maturity and business strategy. 

Partner with data engineers, architects and provide thought leadership to assemble capabilities into Data and AI platforms that can enable and scale a variety of analytical process across organizations

You will discover patterns hidden in both structured and unstructured data and built use cases applying data science techniques such as NLP, supervised & unsupervised learning

Coach and educate team members on data science and machine learning techniques and business processes

 

To be successful, individual must possess:

A Masters or PHD in computer Science/ Engineering, Applied Mathematics or a quant subject

At least 8-10 years of experience in applying data science techniques, ideally ML, NLP and deep learning, optimisation 

Expert in Python, SQL or any programming language

Strong communication skill to present insights with data

Experience managing a team 

Only successful candidates will be notified.

 

For interested applicants, kindly send your updated resume to marieg@charterhouse.com.sg 

EA License No: 16S8066 | Registration No. R1331783

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