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About the job
This is a fast-growing technology company that is leveraging AI to build next-generation products and intelligent analytics. As part of its continued investment in AI innovation, the organization is seeking to appoint an experienced Data Scientist to design, develop, and deploy production-grade AI solutions that deliver measurable business impact.
This is an exciting opportunity to join a collaborative team at the forefront of AI, working alongside product managers, data analysts and engineering teams to solve real-world business problems. The role is well suited to candidates who enjoy taking AI solutions from concept through to production and scaling them across enterprise environments.
Responsibilities
You will design, build, and deploy AI and machine learning solutions that enhance products, improve business decision-making, and create differentiated customer experiences. Partnering closely with product, engineering, and business teams, you will identify high-value use cases, translate business requirements into scalable AI solutions, and lead the delivery of models from experimentation through production deployment.
You will leverage modern AI technologies, including machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents, to develop intelligent applications and production-ready AI capabilities.
You will also contribute to AI best practices, model governance, and technical standards, while staying abreast of emerging AI technologies and identifying opportunities to drive further innovation across the business.
Requirements
We are looking for a Data Scientist with 5-10 years of experience developing and deploying AI and machine learning solutions in production environments. Hands-on AI experience is a prerequisite, and candidates must demonstrate experience taking AI solutions beyond proof of concept (POC) into scalable, production-grade deployments that deliver measurable business value.
You should have strong expertise in machine learning, statistical modelling, and Python, with experience using modern AI frameworks such as PyTorch, TensorFlow, or scikit-learn. Practical experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or agentic workflows is highly desirable.
We welcome candidates from technology companies, AI startups, digital product organizations, and consulting firms who have successfully delivered enterprise AI solutions for clients or scaled AI products within high-growth environments. Experience working in cross-functional product teams, strong stakeholder management skills, and the ability to translate complex business problems into production-ready AI solutions are essential.
To apply
Interested candidates, please send your resume to Eliza Ng at [Confidential Information], quoting the job title. Due to the high volume of applications, only shortlisted candidates will be notified.
Licence No: 16S8060
Registration No: R1549515
Job ID: 151554373
Skills:
Qgis, Sql, Tensorflow, Gcp, Pytorch, Postgis, Azure, Python, AWS, scikit-learn, GeoPandas, Arcgis
Skills:
Data Manipulation, Hypothesis Testing, Data Governance, Sql, Python, Data Analysis, R, cloud-based analytics platforms, Experimental Design, Statistical Modeling, data visualization tools
Skills:
causal inference , Clustering, Sql, Python, Uplift modelling, Time-series, Demand Forecasting, Instrumental variables, Difference-in-differences, Regression, Synthetic control, Classification, Price-elasticity estimation, Experiment design, Statistical ML modelling
Skills:
Advanced Analytics, Machine Learning, Unsupervised Learning, Artificial Intelligence, Tensorflow, Pytorch, Statistical Modelling, Python, Generative AI, scikit-learn, supervised learning, Retrieval-Augmented Generation, AI agents, Large Language Models
Skills:
Qgis, Sql, Tensorflow, Postgis, Gcp, Pytorch, Azure, Python, AWS, scikit-learn, GeoPandas, Arcgis