Data Scientist

Kerry Consulting; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Kerry Consulting is helping a fast-growing technology company attract an experienced Data Scientist to design, develop, and deploy production-grade AI solutions that deliver measurable business impact. The role involves working with product managers, data analysts and engineering teams to scale AI across enterprise environments.

The candidate will translate business requirements into scalable AI solutions, lead model delivery from experimentation to production, and apply Generative AI, LLMs,

Qualifications

• 5–10 years of experience developing and deploying AI/ML in production.
• Strong Python programming and ML modelling skills.
• Hands-on experience with PyTorch, TensorFlow, or scikit-learn.
• Experience taking AI from concept to production at scale.

Responsibilities

• Design, build, and deploy AI/ML solutions for production use.
• Collaborate with product, engineering, and business teams to identify high-value use cases.
• Translate requirements into scalable AI systems and governance practices.
• Stay updated on AI technologies and promote best practices.

Skills

Python

Machine Learning

Statistical Modelling

Deployment

Tools

PyTorch

TensorFlow

scikit-learn

Job description

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.

Licence No: 16S8060
Registration No: R1549515