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Consulting Practice Lead - Data (Consulting Environment)

Argyll Scott SingaporeSingapore, Pedra Branca, Singapore

15 days ago

Job description

About the Role :

We are looking for a Data Lead with a solid foundation in data science and hands-on experience in the consulting industry , who is also well-versed in applied AI use cases. This role is ideal for a technical leader who can drive AI and data-led transformations from the ground up — from presales and solutioning to delivery and strategy.

You will lead client engagements to design and deliver high-impact solutions using data science, machine learning, and AI technologies such as LLMs, predictive analytics, NLP, and computer vision, while also playing a critical role in scoping, pricing, and budgeting projects.

Key Responsibilities :

Client Engagement & Presales

Lead technical and strategic discussions with clients to identify opportunities for data and AI-driven solutions.
Own the presales process, including solution scoping, pricing models, budget planning, and effort estimation.
Craft and present proposals, proof of concepts (POCs), and statements of work (SoWs) for data and AI projects.
Translate complex business challenges into actionable AI and analytics use cases, aligning with client priorities.

Project Delivery & Leadership

Oversee end-to-end data science and analytics engagements, ensuring high-quality delivery on time and budget.

Guide cross-functional teams of data scientists, data engineers, and analysts in project execution.

Ensure methodologies, models, and outputs are technically sound, business-aligned, and well-documented.

Serve as the primary data strategy advisor to clients, translating business challenges into technical solutions.

AI & Data Delivery Leadership

Oversee the end-to-end delivery of data science and AI solutions, from design through to deployment.

Lead teams in building models for forecasting, classification, recommendation, NLP, and computer vision use cases.

Ensure AI solutions are not only technically sound but also explainable, ethical, and production-ready.

Guide clients on AI readiness, model governance, and integration with existing systems.

Required Qualifications :

Proven experience as a Data Scientist, with progression into a lead or managerial role.

Prior experience working in or with consulting firms or service-oriented project environments.

Strong expertise in scoping, solution design, presales, and client engagement.

Demonstrated experience in budgeting, effort estimation, and pricing of data / analytics projects.

Proficient in modern data science tools and languages (e.g., Python, R, SQL) and experience with cloud platforms (AWS, Azure, GCP).

Excellent communication and storytelling skills, with the ability to present to both technical and non-technical stakeholders.

Bachelor's or Master's in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science).

Argyll Scott Singapore Pte Ltd

EA License No. 16S8105

Koh Ching Wen (Xu Jingwen)

EA Reg No : R1108631

J-18808-Ljbffr

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Lead Data Consulting • Singapore, Pedra Branca, Singapore