Data Scientist

We are seeking a highly skilled Data Scientist to join our team and drive impactful data-driven solutions. The successful candidate will play a critical role in translating business challenges into data science projects, developing advanced AI models, and collaborating with cross-functional stakeholders to bring innovative products to life.

Key Responsibilities:

• Facilitate discussions with stakeholders to understand business challenges, sharpen use cases, and translate them into data science projects.
• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle (concept, design, prototyping, testing, curation, delivery, operationalisation, industry adoption, and end-of-life).
• Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry.
• Present findings, solicit feedback, and prioritise refinements while managing overall project timelines.
• Participate in agile secure software development processes, including documentation of user requirements and software codes.
• Transfer technology and knowledge to industry partners.
• Engage and collaborate with research institutes and institutes of higher learning.

Requirements / Skills Needed:

• Postgraduate (Masters/PhD) background in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent.
• Strong technical knowledge in AI, particularly in Computer Vision (CV), Natural Language Processing (NLP), Recommendation Systems, and/or Synthetic AI.
• Good understanding of the latest AI research and technologies for production, including deployment to mobile handsets and IoT devices.
• Proficient in building machine learning models to identify, recognise patterns, and make predictions.
• Strong programming skills in Python, C++.
• Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience in model deployment.
• Proven stakeholder management skills.
• Experience in agile project management.