Overview
We are looking for a highly skilled
Data Scientist
to design, build, and deploy advanced AI solutions that address complex business challenges.
In this role, you will work closely with stakeholders to understand their needs, sharpen business use cases, and translate them into impactful data science projects.
You will collaborate across product owners, engineering teams, research institutes, and industry partners throughout the product lifecycle – from concept and prototyping to operationalisation, deployment, and industry adoption.
Responsibilities
Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life.
Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle.
Transfer technology to industry partners.
Technical engagement and collaboration with research institutes and institutes of higher learning.
Requirements
Postgraduate or Ph.D. background in engineering, computer engineering, computer science, mathematics, statistics or equivalent
Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation systems and/or Synthetic AI
Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IoT devices
Proficient in building machine learning models to identify, recognise patterns and make predictions
Strong coding experience in programming languages such as Python, C++
Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
Experience in model deployment
Experience in stakeholder management
Experience in agile project management
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
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