Enable job alerts via email!

Consulting Practice Lead - Data (Consulting Environment)

Argyll Scott Singapore

Singapore

On-site

SGD 80,000 - 120,000

Full time

5 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Start fresh or import an existing resume

Job summary

A leading consulting firm in Singapore is seeking a Data Lead to spearhead AI and data-driven transformations. This role involves driving client engagements, managing project deliveries, and leading cross-functional teams to deliver innovative AI solutions. Candidates should have experience in data science, a strong understanding of AI applications, and proven leadership capabilities in consulting environments.

Qualifications

  • Proven experience as a Data Scientist, with progression into a lead or managerial role.
  • Prior experience in consulting or service-oriented project environments.
  • Strong expertise in solution design, presales, and client engagement.

Responsibilities

  • Lead technical discussions with clients to identify AI-driven solutions.
  • Oversee end-to-end data science and analytics engagements.
  • Guide teams in building AI models for various use cases.

Skills

Data Science
Machine Learning
AI technologies
Client Engagement
Budgeting
Communication

Education

Bachelor's or Master's in a quantitative field

Tools

Python
R
SQL
AWS
Azure
GCP

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

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.