AI / Data Science Consultant (Contract)

MR.DIY Group (M) Berhad; Seri Kembangan; On-site; MYR 120,000 - 240,000; Full time

Job summary

MR.DIY Group (M) Berhad is seeking a data science professional to develop predictive models for demand forecasting, inventory optimization, and customer segmentation. You will build AI-powered recommendations for e-commerce and loyalty platforms, and design pricing optimization solutions while improving store operations.

Collaborating with retail clients, engineers, and cloud teams, you will translate business challenges into scalable AI/analytics solutions, conduct discovery sessions, and

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
• Experience in AI, machine learning, analytics, or data science
• Experience working in retail, e-commerce, FMCG, or consumer-focused industries
• Strong programming skills in Python, SQL, and data analytics tools
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Knowledge of retail analytics and business KPIs
• Experience with BI tools such as Power BI, Tableau, or Looker
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Strong communication and stakeholder engagement skills

Responsibilities

• Develop predictive models for demand forecasting, inventory optimization, customer segmentation, and sales prediction
• Build recommendation engines and personalization solutions for e-commerce and loyalty platforms
• Design AI solutions for pricing optimization, promotion effectiveness, and basket analysis
• Apply machine learning and analytics to improve supply chain efficiency and store operations
• Analyze customer behavior using transactional, digital, and omnichannel datasets
• Develop NLP or Generative AI solutions for customer service, retail chatbots, and product search
• Monitor model performance and continuously optimize AI solutions
• Collaborate with retail clients to identify business challenges and AI/data opportunities
• Translate retail use cases into scalable AI, analytics, and automation solutions
• Conduct workshops, assessments, and discovery sessions with stakeholders
• Provide strategic recommendations on retail AI adoption and digital transformation
• Support project planning, stakeholder management, and client presentations
• Collaborate with engineering and cloud teams to deploy AI models into production
• Support MLOps, automation, and scalable AI architecture implementation
• Document technical designs, methodologies, and project deliverables
• Stay updated on emerging AI and retail technology trends

Skills

Python

SQL

Data analytics

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Looker

AWS

Azure

GCP

Communication

Stakeholder management

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Looker

AWS

Azure

GCP

Job description

Key Responsibilities

• Develop predictive models for demand forecasting, inventory optimization, customer segmentation, and sales prediction

• Build recommendation engines and personalization solutions for e-commerce and loyalty platforms

• Design AI solutions for pricing optimization, promotion effectiveness, and basket analysis

• Apply machine learning and analytics to improve supply chain efficiency and store operations

• Analyze customer behavior using transactional, digital, and omnichannel datasets

• Develop NLP or Generative AI solutions for customer service, retail chatbots, and product search

• Monitor model performance and continuously optimize AI solutions

AI & Data Science

• Collaborate with retail clients to identify business challenges and AI/data opportunities

• Translate retail use cases into scalable AI, analytics, and automation solutions

• Conduct workshops, assessments, and discovery sessions with stakeholders

• Provide strategic recommendations on retail AI adoption and digital transformation

• Support project planning, stakeholder management, and client presentations

Business & Consulting

• Collaborate with retail clients to identify business challenges and AI/data opportunities

• Translate retail use cases into scalable AI, analytics, and automation solutions

• Conduct workshops, assessments, and discovery sessions with stakeholders

• Provide strategic recommendations on retail AI adoption and digital transformation

• Support project planning, stakeholder management, and client presentations

Technology & Delivery

• Collaborate with engineering and cloud teams to deploy AI models into production

• Support MLOps, automation, and scalable AI architecture implementation

• Document technical designs, methodologies, and project deliverables

• Stay updated on emerging AI and retail technology trends

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field

• Experience in AI, machine learning, analytics, or data science

• Experience working in retail, e-commerce, FMCG, or consumer-focused industries

• Strong programming skills in Python, SQL, and data analytics tools

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

• Knowledge of retail analytics and business KPIs

• Experience with BI tools such as Power BI, Tableau, or Looker

• Familiarity with cloud platforms (AWS, Azure, GCP)

• Strong communication and stakeholder engagement skills