SVP, Head of Machine Learning, APAC & EMEA

Job details

Location: Singapore
Job Type: Permanent
Reference: SM/PT/SVPHCLAPACEMEA/26102021C
Posted: 7 months ago
Consultant: Patricia Tan
Consultant Email: email Patricia
Consultant Phone: +65 6950 0393

Job description

Our client is a global bank with strong presence in Singapore.

They are looking for a SVP, Head of Machine Learning to work with various clients regionally.


  • Deliver business objectives through machine learning and data science

  • Continuously improve strategy, talent, processes and tools to deliver world-class capability

  • Build partnerships with teams in region and countries to develop, align and drive delivery

  • Build, shape, lead, inspire and mentor a team of machine learning engineers and data scientists

  • Appropriately assess and manage risk and apply sound ethical judgment



  • 8 years’ experience of commercial deployment of machine learning and data science

  • Doctorate or masters in machine learning, data science, mathematics, statistics or equivalent experience

  • Demonstrated skills in Python, Spark & Hadoop with hands on experience of the big data ecosystem

  • Demonstrated ability to leverage machine learning/data science to address business problems

  • Experience with neural network architectures, e.g. CNN, RNN, LSTM, VAE, DRL, Transformer

  • Experience with automated machine learning deployments, e.g. H2O Driverless AI, DataRobot

  • Ability to develop and deliver strategic solutions – working in a complex world and making it simple

  • Ability to develop and communicate compelling narratives to non-technical audiences

  • Ability to build, shape, lead, inspire and mentor a team of machine learning engineers and data scientists

  • Strong networking and communication skills to guide, influence and convince business leaders, colleagues and partners


For interested applicants, kindly send your updated resume to Patricia Tan at
EA License No: 16S8066 | Registration No. R1104271

Only successful candidates will be notified.

This job has expired!

Image 2022 02 26 T04 56 26
Image 2022 02 26 T04 56 26