87 Predictive Analytics jobs in Malaysia

Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We’re looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world’s most complex challenges.

About our Digital Channels & Data Analytics (DCDA) team
They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)
For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

Data analysis and visualisation including:
• Support the development and execution of our data analytics strategy and roadmap.
• Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer.
• Translate business challenges into statistical problems and data analysis.
• Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation.
• Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems.
• Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques.
• Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities.
• Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service.
• Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure.

Skills and Experience
• Statistical analysis.
• Agile project management.
• Big data management and analytics.
• Experience in Python
• SQL Query
• Experience in Dataiku preferred
• Power BI
• Client experience, behaviours and preferences.
• Microstrategy
• Data governance and management.

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills,global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Responsibilities

a. Design / perform business-oriented, comprehensive, accurate reporting system/ analysis to monitor the performance of the business, to locate risk and to discover potential business opportunities, to guide business for decision making.

-Perform ad-hoc analysis to understand certain business cases and challenges, providing conclusions and advice based on data analysis.

-Closely follow-up the business operation, to fully understand the business situation/planning

-Work with colleagues in business team for understanding the data insights.

-Develop and maintain the management dashboard portal

b. Strategy & Planning

-Do the targets setting for the business, as well as target progress tracking and projection, to guide the business on resource allocation and building blocks set-up/planning.

Requirements

-2+ years working experience in analytics, project management, strategy and/or tech consulting, or other related fields. Experience in E-commerce and/or Commercial/Brands is a plus.

-Solid knowlegde of SQL and other programming language. Hands-on experience in data extraction, cleaning, preparation, and dashboard development

-Sharp and structured thinking, strong analytical and numerical skills. Good communication and presentation skills

-Results orientated with a strong emphasis on problem-solving

-Highly energetic and self-motivated. Willingness to learn attitude with ability to work under pressure

-Bilingual: English/Chinese

-Bachelor’s/Master Degree in relevant field of study

Join to apply for the System Analysis (GDW) Data role at Accenture Southeast Asia

Join to apply for the System Analysis (GDW) Data role at Accenture Southeast Asia

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About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at WO2 Data

Job Title: System Analysis

Domain: Data

Sub-Domain: GDW (Global Data Warehouse)

Years of Experience: L2 - 3-5 years

Location: Kuala Lumpur

Job Summary:

We are looking for a Junior System Analyst to join the Data - GDW team. The role involves working with large-scale data platforms and tools to support enterprise-level analytics and data integration initiatives. Candidates should have experience across Cloudera Hadoop, Teradata, Informatica, QlikSense, Power BI, and Python/R, with exposure to financial analytics domains.

Key Responsibilities

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology and Engineering
• Industries Business Consulting and Services

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Petaling Jaya, Selangor, Malaysia 3 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago

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WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

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Huntsman Corporation is now looking for a dynamic individual as a Lead Data Scientist – Global Reporting & Analysis.

The Data Science Lead will collaborate with various business teams to apply suitable prescriptive and predictive models to solve complex problems, driving strategic decision-making. They will oversee the creation and implementation of advanced analytics models using technologies such as Python, R, and machine learning frameworks.

Additionally, they will mentor team members on data science best practices and promote collaboration and continuous learning within the Data Science community at Huntsman.

The ideal candidate will be based in Kuala Lumpur, Malaysia.

As a Lead Data Scientist – Global Reporting & Analysis you will:

Lead Data Science in FP&A: Oversee strategy reviews, best practice adoption, and identify gaps in current ML processes.
Advanced Modeling: Design, develop, and deploy predictive models and AI solutions to address business needs.
Team Leadership: Lead multiple Data Scientists and mentor team members on best practices.
AI Strategy: Drive strategy for AI applications and advanced analytics solutions.
Performance Evaluation: Evaluate and optimize data-driven products.
Project Management: Drive large cross-functional projects from ideation to implementation.
Collaboration: Work with engineers and other data scientists to integrate models into production systems.
Solution Design: Design and deploy data-driven solutions to improve business outcomes.
Continuous Learning: Stay current with advancements in data science and apply them to enhance capabilities.
Service Coordination: Coordinate with service providers and external resources for ML/AI solutions.
Community Leadership: Lead involvement in the Data Science Community of Practice.
Alignment: Ensure data projects align with organizational objectives.
Data Collection: Collect, cleanse, and ensure the quality and integrity of complex data sources for analytical modeling.
What skills and experiences are we looking for?

· Bachelor’s degree in a data science related field.

· Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field is preferred.

· Minimum 5-7 years of experience in data science.

· Experience developing machine learning models into full production.

· Strong expertise in ETL processes, data integration, and transformation.

· Proficiency in programming and statistical tools such as Python, R, SQL, SPSS, IBM CPLEX

· Experience with cloud platforms and big data technologies – Databricks, Azure, Spark, SAP (R4) and/or SAP (4HANA), IBM Planning Analytics

· Strong experience with data visualization tools (e.g., Tableau, Power BI).

· Experience working with business teams and within general business processes

· Experience in Manufacturing Industry

· Understanding of common business financial terms and metrics

· Experience with agile methodologies and project management tools.

· Familiarity with data governance and compliance standards.

· Excellent problem-solving skills and the ability to work with complex datasets.

· Strong communication skills, including the ability to present findings to non-technical stakeholders, facilitate discussions, deliver training, and manage time effectively.

· High initiative and creativity, with the ability to work independently and think strategically and technically.

· Leadership and mentoring experience, with a demonstrated ability to guide and develop junior team members and develop collaborative teamwork

· Detail-oriented with a commitment to delivering high-quality solutions.

· Strong understanding of data science concepts.

What can we offer?

Huntsman offers unsurpassed opportunities to build a successful future. We are a global specialty chemical company with locations in 25 countries around the world, employing over 6,000 associates. Our diverse portfolio creates a range of career fields including manufacturing, research and development, technical services, sales and marketing, customer service – and the list goes on.

Here, you can make an impact and make a difference. Come join us.

Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local.

Please refer to for Company’s Data Privacy and Protection information.

All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service.

Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in “@huntsman.com” and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at

Who are we?

CFI Financial Group is an award-winning trading provider, possessing more than 25 years of experience with multiple offices around the world including London, Larnaca, Beirut, Amman, Dubai, Port Louis, and others.

CFI is hiring! Make your mark in the online trading industry.

Are you looking to pursue a career in finance? Do you want to work with a dynamic and growing team in the exciting world of online trading and investing? If you answered yes, then we have some amazing opportunities for you!

Job Description:

We are seeking an ML Engineer professional to join our team.

Key Responsibilities

• Design, build, and optimize ML models.
• Develop, test, and deploy AI agents (internal and client-facing) using LLMs and MCP within Databricks.
• Deliver scalable, robust ML and AI solutions that integrate seamlessly with existing systems.
• Implement Retrieval-Augmented Generation (RAG) systems and multi-step reasoning agents.
• Ensure data and model quality, integrity, and compliance with best practices.
• Acquire, clean, and analyze data from multiple sources to support ML initiatives.
• Break down complex AI/ML projects into actionable tasks with realistic time estimates.
• Collaborate with cross-functional teams (data engineering, front-end, business analysis, project management, product management) to ensure smooth delivery.
• Maintain clear documentation, project milestones, and deliverables.
• Foster a collaborative, innovative environment and contribute to knowledge sharing.
• Uphold and help establish coding standards and code review processes for AI/ML projects.

Qualifications

• Advanced Python skills and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras) to support traditional ML frameworks (ie classification, regression, boosting, clustering, etc).
• Proven experience developing and deploying LLM-powered agents with multi-step reasoning.
• Hands-on experience with RAG architectures and MCP.
• Strong proficiency in Databricks for ML workflows, model training, and deployment.
• Experience with NLP, transformers, and predictive analytics models.
• Strong SQL skills and familiarity with both relational and NoSQL databases.
• Experience with data streaming (Kafka, Flink, or similar).
• End-to-end experience deploying ML models and AI agents to production.
• Familiarity with MLOps practices: model versioning, CI/CD, monitoring, and automated retraining.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Fintech or financial services background strongly preferred.
• Strong foundation in mathematics, statistics, and computer science.
• Excellent communication skills in English

Why join CFI?

• We’re a fast-growing, multinational company
• Competitive salaries and benefits
• Work and learn with industry professions
• Supportive and collaborative environment
• Unlimited opportunities for growth and development

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1. Build and maintain machine learning models to support our products and services
2. Design, build, and maintain software systems that integrate with machine learning models
3. Collaborate with cross-functional teams to identify machine learning opportunities and implement solutions
4. Develop algorithms and implement software to support the development of new machine learning models
5. Analyze and interpret large sets of data to identify trends and patterns
6. Use statistical analysis and machine learning techniques to develop predictive models
7. Optimize and improve existing machine learning algorithms and models
8. Implement data pipelines and ETL processes to support machine learning workflows

1. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
2. 3+ years of experience in software engineering
3. Proficiency in coding with Python, R, and/or Java
4. Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
5. Familiarity with data analysis and visualization tools such as pandas, matplotlib, or Power BI
6. Knowledge of web development technologies, such as React and Django
7. Experience with cloud platforms, such as AWS or Azure
8. Strong collaboration and communication skills

• Entry level

• Full-time

• IT Services and IT Consulting

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The section about "Senior Engineer, Software Development Engineering" appears unrelated to the main job description and seems to be an extraneous detail. It can be removed for clarity.

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

The mission of the ML Pipeline team at Grab is to empower machine learning engineers, data scientists, data analysts, and data engineers to test-and-learn their ideas and productionise them at scale. The team develops tools, systems and automation to increase productivity throughout the ML and AI development lifecycle.

Get to know the Role

As a Machine Learning Engineer in our ML Pipeline team, you will be responsible for contributing to the design, implementation, and rollout of cutting-edge ML&AI platforms for large-scale workloads at Grab.

The Critical Tasks You Will Perform

Write production-grade code, perform code reviews and ensure exceptional code quality

Build robust, lasting, and scalable products Iterate quickly without compromising quality

Setup and define standards for complex pipelines including data engineering, feature engineering, model training, model quality verification, model deployment, etc.

Automate cloud infrastructure provisioning and deployments of ML pipelines

What Essential Skills You Will Need

Bachelor’s degree in Computer Science, Computer Engineering, or a related field

Proficient in at least one programming language such as Golang, Python, Scala, or Java

Strong understanding of machine learning approaches and algorithms

Knowledge of ML frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks

Basic understanding of Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, cloud platforms (specifically, AWS)

Knowledge of the machine learning lifecycle, including feature engineering, model training, validation, deployment, A/B testing, monitoring, and retraining

Internship or project experience in machine learning, GenAI or related fields is a plus

Strong analytical, critical thinking, and communication skills

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

NEXLAW.AI is a pioneering legal AI company dedicated to revolutionizing the legal industry through intelligent automation and machine learning. Holding company in Delaware, U.S, with global operations and a focus on providingLitigation & Dispute Resolution AI solutions.

NEXLAW.AI develops innovative tools such asTrialPrep, NeXa - Legal Assistant and ChronoVault to assist legal professionals and individuals in optimizing legal research and streamlining Trial Preparation.

We are seeking a highly motivated and skilledMachine Learning Engineer to join our team in Malaysia. This role is crucial in developing, deploying, and maintaining the core AI models that power our innovative legal platforms.

Responsibilities:

• Model Development and Implementation: Design, develop, and deploy machine learning models and algorithms tailored for legal applications, including Natural Language Processing (NLP) tasks such as text summarization, contract analysis, and legal document generation.
• Data Preparation and Feature Engineering: Collaborate with data scientists and legal experts to preprocess, clean, and analyze large legal datasets, ensuring data quality and relevance for model training.
• Model Optimization and Evaluation: Evaluate the performance of machine learning models, fine-tune hyperparameters, and implement strategies to improve accuracy, efficiency, and scalability.
• Infrastructure and Deployment: Work closely with software engineers to integrate ML models into production systems, managing and maintaining the infrastructure necessary for scalable and reliable AI solutions.
• Research and Innovation: Stay abreast of the latest advancements in machine learning and AI, applying innovative techniques to enhance existing products and develop new functionalities within the legal tech domain.

Requirements:

• Educational Background: A Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related technical field.
• Technical Skills:
• Proficiency in Python and experience with relevant ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of fundamental machine learning concepts, algorithms, and data structures.
• Familiarity with NLP techniques and tools (e.g., spaCy, NLTK) is highly desirable, given NEXLAW.AI’s focus on legal text analysis.
• Experience with version control systems (Git).
• Cloud and MLOps (Bonus): Experience with cloud platforms such asAWS andGCP , including knowledge ofVertex AI , is a significant advantage.
• Analytical Skills: Solid mathematical and statistical foundation, including knowledge of linear algebra, calculus, and probability.
• Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business challenges into actionable machine learning solutions.
• Communication: Excellent communication skills, both written and verbal, with the ability to explain technical concepts clearly to diverse audiences.

Why Join NEXLAW.AI?

• Be part of a dynamic and innovative company at the forefront of AI legal technology.
• Work on challenging and impactful projects that are transforming the legal industry.
• Collaborate with a global team of experts in AI, technology, and law.
• Opportunity for continuous learning and professional growth in a rapidly evolving field.