AI / Data Science Consultant (Contract)

MR DIY Malaysia; Seri Kembangan; On-site; MYR 120,000 - 180,000; Full time

Job summary

MR D.I.Y. is seeking an AI & Data Science professional to advance predictive models, personalization, pricing optimization, and analytics across its retail network.

The role involves collaborating with retail clients, deploying models to production, and driving data-driven decision-making for inventory, promotions, and customer experiences. The team values practical solutions and scalable analytics across MR D.I.Y.'s nationwide stores and online platform.

Qualifications

• Bachelor’s or Master’s degree in data science, CS, statistics, mathematics, engineering or related field.
• Experience in AI, machine learning, analytics or data science.
• Experience in retail, e-commerce, FMCG, or consumer-focused industries.
• Strong programming skills in Python, SQL and data analytics tools.
• Experience with ML 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).

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.

Skills

Python

SQL

Data analytics

ML frameworks

Retail analytics

BI tools

Cloud platforms

Education

Bachelor’s or Master’s degree in Data Science/CS/Statistics/Math/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Looker

Job description

• 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

Key Responsibilities

AI & Data Science

• 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

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

MR D.I.Y. is a home-grown enterprise with over 1,300 stores across Malaysia and Brunei. The home improvement retailer has dedicated to make a positive difference in the lives of its valued customers by offering convenience at all its stores nationwide and online at mrdiy.com.my

All MR. D.I.Y. stores are managed directly and the retailer often works in collaboration with owners of shopfront properties or owners of malls. MR. D.I.Y. stores offer a wide selection of SKUs across five major categories, namely hardware; household and furnishing; electrical; stationery and sports equipment products; and others (comprising toys, car accessories, jewellery, cosmetics, food and beverage items, as well as health and personal care).

The Company strives to put its customers first by operating an innovative business that is flexible when it comes to providing a wide variety of products, good quality and value-for-money, holding true to the Company’s motto of “Always Low Prices”.