Senior Data Science Consultant (AI/ML)

PROGRESSION SEARCH PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading tech consultancy in Singapore is seeking a Senior Data Science Consultant (AI/ML) to deliver advanced Generative AI solutions for enterprise clients. The role requires over 5 years of experience in AI, expertise in LLMs, and exceptional communication skills. Candidates must be Singaporeans, aiming to drive impactful AI adoption across various industries.

Qualifications

• 5+ years of hands-on experience in data science, machine learning, and AI.
• Strong expertise in LLMs and GenAI with practical experience in delivery for enterprise.
• Excellent customer-facing skills with the ability to simplify technical concepts.

Responsibilities

• Deliver end-to-end Generative/Agentic AI solutions for enterprise customers.
• Guide customers in their GenAI journey focusing on specific business needs.
• Conduct training sessions and workshops to boost AI adoption.

Skills

Hands-on experience in data science

Expertise in LLMs and Generative AI

Proficiency in Python

Excellent communication skills

Strong problem-solving skills

Job description

Our Client who is a leader in machine learning and generative AI platforms is seeking a Senior Data Science Consultant (AI/ML) to lead the development and end-to-end delivery of advanced Generative AI, Agentic AI, and Predictive ML solutions for their enterprise clients.

This is a highly visible, hands-on role that requires both deep technical skill in the latest GenAI and MLOps practices and strong consulting abilities to drive customer adoption, enablement, and measurable business impact across diverse industries.

Responsibilities

• Deliver end-to-end Generative/Agentic AI solutions for enterprise customers, managing the full lifecycle from problem definition, data preparation, model development, deployment, and monitoring.
• Build custom AI/ML agents and applications, designing innovative, verticalized use cases across banking, finance, insurance, retail, healthcare, and manufacturing.
• Guide customers through their GenAI journey, focusing on LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to specific business needs.
• Apply expertise in hybrid AI solutions, combining predictive AI algorithms (e.g., regression, time-series forecasting, anomaly detection) with Generative AI techniques.
• Conduct customer enablement programs, including hands-on training sessions, workshops, and hackathons, to boost AI adoption among technical and executive stakeholders.
• Translate complex technical outputs into clear business impact narratives, advising non-technical leaders on the value and risks of AI adoption.
• Collaborate with internal R&D teams to enhance the Company GenAI/ML technology stack and contribute to reusable assets, best practices, and industry accelerators.

Requirements

• 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.
• Strong expertise in LLMs and GenAI: practical experience with fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific custom LLM solutions.
• Experience with a wide range of predictive AI algorithms (e.g., GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting).
• Demonstrated ability to design and deliver training, workshops, and customer enablement programs for diverse stakeholders.
• Hands-on experience or demonstrably similar advanced AutoML/ML platforms.
• Proficiency in Python (preferred) and industry-standard data science/ML libraries and frameworks.
• Familiarity with MLOps and production monitoring tools.
• Excellent customer-facing and communication skills: proven ability to engage with and clearly articulate technical concepts to both technical and executive audiences.
• Strong problem-solving skills and the ability to work independently in dynamic, customer-driven environments.
• Singaporeans ONLY

Good to Have

• Prior experience in building AI/ML agents and Generative AI applications for specific industry use cases.
• Demonstrated thought leadership in AI (e.g., published technical blogs, conference talks, or significant open-source contributions).
• Experience leading AI hackathons, bootcamps, or innovation workshops with enterprise customers.
• Familiarity with the demands of enterprise-grade AI solutioning related to security, governance, scalability, and regulatory compliance.