Adjunct Trainer - Data Science

CLAAS2SAAS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

CLaaS2SaaS in Singapore seeks a Programme Manager to lead blended learning journeys and mentor learners. You will oversee delivery, operations, and the learning technology policies to achieve high learner satisfaction.

The role emphasizes education frameworks, data analytics, financial oversight, and strong communication. Candidates should bring 5+ years in data science and ML with Azure/BI tool experience.

Qualifications

• Bachelor's degree required.
• Proven experience as facilitator, speaker, or coach.
• 5+ years of experience in data science and machine learning.
• Strong communicator with empathy.
• Assess learners' training needs and tailor delivery.
• Proficient with Azure, SQL, Python, R, Spark and BI tools.

Responsibilities

• Support blended learning journey for learners to achieve superior outcomes.
• Be a subject matter expert and mentor students throughout their learning journey.
• Deliver and operate eduCLaaS courses per policies to achieve learner satisfaction.
• Manage cohorts with time, budget and P&L; analyze profitability via data analytics.

Skills

Programme Management

Education Frameworks

Financial Risk Management

Educational Technology

Data Analytics

Communication

Empathy

Education

Bachelor's degree

Tools

Azure

SQL

Python

R

Spark

Tableau

Power BI

Hadoop

Job description

Job Description & Requirements

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

• Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.
• Be a subject matter expert and mentor students throughout their learning journey
• Learning Delivery and Operations Management - Execute eduCLaaS' courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.
• Financial Management - Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

• Extensive experience in Programme Management
• Well versed in Education/University frameworks
• Good skills in Financial and Risk Management
• Good understanding of Educational Technology and its implementation.

Requirements

• Bachelor's degree is required.
• Proven experience as a facilitator, speaker, or coach.
• 5+ years of experience in data science and machine learning
• Strong communicator.
• Great empathy skills.
• Assess the training needs of learners and adjust your delivery accordingly.
• Working knowledge of the following:
• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

• Microsoft Power BI certification
• Microsoft Machine Learning certification

Desirable Traits

• Possess good English competency level (because the class is conducted in English)
• Nurturing, committed, hardworking, proactive, accountable, driven
• Good interpersonal, communication and organizational skills