459 AI Researcher jobs in Malaysia

● Strategic Collaboration with Data Science

Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies.

● Full-cycle Data Pipeline Engineering

Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance.

● Actionable Insights Visualization

Develop and maintain real-time Tableau dashboards integrating internal BI platforms . Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis.

Job Requirements:

●Degree in Computer Science or related technical field

●2+ years of working experience in data analysis/data warehouse/mart development and BI reporting

●Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning

●Working experience in building BI dashboards with Tableau and other BI tools

●Strong analytical and technical skills in building batch/streaming data pipelines for big data

●Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis.

●Experience deploying models in production and adjusting model thresholds to improve performance is a plus

●Strong interest or knowledge in gaming industry is a plus.

●
Onsite: KL, reachable by public transport

Get To Know Our GX Bank Team
GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Create and execute the data science & analytics approach in a startup atmosphere to support the business goals and objectives with commercial value of work prioritization and execution, which will deliver actionable insights for business planning and execution.
• Develop and deploy analytical solutions, data science models and/or analytics insights for management and business teams across the Digibank's regional footprint to make informed business decisions, across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within the Digibank for both retail and wholesale banking customers.
• Uncover and deliver actionable insights, trends and product recommendations to support the business, through deep dive analysis and advanced visualization techniques.
• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.
• Design and develop Generative AI solutions by leveraging generative AI techniques to create new content, automate processes, and develop innovative products that offer added value to our customers, boost productivity and operational efficiency.
• Manage and own the entire end-to-end MLOps life cycle includes data exploration, training data, feature engineering, model development, validation, scoring, codes standardization, unit testing, deployment via API and model maintenance.
• Interface with business, risk & operation teams across the countries within the region to formulate solutions & product changes informed by your findings and business inputs/reality.
• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools in developing the models, running simulations & optimization.
• Being an analytics consultant for the business stakeholders to recommend and deliver both innovative and effective analytics solutions in driving continuous improvements and addressing business questions.
• Engineer predictive features from internal data assets to build refined customer profiles.
• Identify external data assets to bring into the model mix.
• Ensure high quality models and seamless integration, which includes model accuracy, automated quality checks, API latencies, deployment time etc.
• Write SQL scripts for data transformation.
• Ensure data accuracy and good segmentation of data sets for tactical data mining.
• Taking on the responsibilities as a Technical Project Manager to drive projects, by partnering closely with the broader business, operation, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.
• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dashboarding or analytics use cases.
• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.
• Stay current on cutting edge artificial intelligence (AI) tools and approaches.

The Must Haves

• Significant relevant experience (At least 5 years of experience) in building and deploying Generative AI, machine learning and predictive model solutions on large amounts of data.
• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related quantitative field.
• Extensive hands-on experience in coding and modelling skills in Spark, Python, R, SQL, Presto, Hive proficiency
• Deep technical and data science expertise, including experience in the following:
• Analytical methods: statistical modeling (e.g., logistic regression, time series CHAID, PCA), supervised machine learning (e.g., random forests, neural networks), unsupervised learning, design of experiments, segmentation/clustering, text mining, network analysis and graphical modelling, optimization, simulation
• Experience building in-production models, including associated scripting, error handling and documentation
• Experience in cloud platforms like AWS, Azure, GCP etc
• Strong expertise in Generative AI frameworks and models such as GANs, VAEs, GPT, BERT, Claude, DeepSeek etc.
• Proficient in ensuring timely delivery of high quality analytics
• Solid experience in reporting to management in delivering analyses and reports.
• Experience with designing, running and analyzing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.
• Passionate about solving problems – possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, etc.
• Understanding of trade-offs between model performance and business needs.
• Strong business acumen, inherent curiosity about data, stakeholder management and project management skills to prioritize & manage multiple priorities in a fast-paced and multidisciplinary environment
• Highly self-driven, demonstrate critical thinking, team player & fast learner
• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Retail analytics, Fraud analytics etc.

The Nice-To-Haves

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows
• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualization platforms like Tableau, Power BI etc

Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

Location: Damansara Heights/ Subang Bestari

Reporting to: Dean of School of Information and Communication Technology

Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of Talentbank’s Employer's Choice for Universities 2024 and proudly received the Diversity Hirer Award in the prestigious Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution.

JOB DESCRIPTION:

• To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
• To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
• To guide students in the understanding of assignment requirements.
• To answer student queries on academic matters relating to the unit promptly.
• To set and mark assessments (quiz, test, assignments, examinations) for students.
• To invigilate examinations.
• To develop and update course materials as required.
• To attend staff meetings as deemed necessary by the Head of the Department.
• To give students regular guidance to assist the progress of their academic achievement.
• To counsel students on appropriate career/academic direction on completion of their course.
• To counsel at exhibition fairs which HELP participates.
• To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference.

JOB REQUIREMENTS:

• A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing.
• At least 3 years working experience as an academic.
• Experience as a programme leader and supervision at Masters and PhD level would be an advantage.
• Strong communication and interpersonal skills.
• Strong organizational and time management skills.
• Knowledge of MQA standards and regulatory requirements.
• Proficient in Microsoft Office Suite and others.

At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions.

We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share.

People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience.

MoneyLion is America’s most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals. Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less.

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion’s machine learning algorithms behind MoneyLion’s data-driven products.

• Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for machine learning projects towards well-defined success metrics
• Ensure the delivery of machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, and NLP projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

What's Next. After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Interview - Talent Acquisition Team (Virtual or face-to-face)
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

About us

With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components and wafers, SCHOTT's business unit Advanced Optics develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more.

Beyond that, we are serving augmented reality innovators worldwide as the leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. As we are fully committed to bringing augmented reality technology to the public, we are currently expanding our manufacturing capacity in Malaysia.

You want to be part of it? Then apply now.

• To ensure that data-driven decisions are possible to improve product quality, performance, and cost during the product development and NPI phase.
• Set up automated data acquisition and data extraction.
• Develop tools to verify data integrity.
• Responsible for continuous data quality improvements.
• In charge of data mining and data analytics.
• Develop data science solutions using statistical and machine learning techniques.
• Apply statistical methods to detect anomalies, trends, and shifts.

• BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics, or Engineering.
• At least 5 years of experience in the field of data analytics, data mining.
• Technical expert in data analytics and data mining.
• Proficient in Python and SQL languages.
• Experienced with statistical modeling and data mining techniques.
• Strong problem-solving skills with the ability to multi-task and manage multiple projects simultaneously.

SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential.

At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company.

Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events.

Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang .

*At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of MoneyLion’s machine learning algorithms behind MoneyLion’s data-driven products. You will lead research initiatives and experiment with state-of-the-art AI and machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This involves driving technological innovation across a large variety of domains while consistently delivering measurable business value and demonstrating accelerated team performance. You will extend your influence across Product, AI Engineers, MLOps, and Data Scientists to pioneer additional opportunities for applications of AI and machine learning solutions. You will establish and enforce model governance standards across AI projects, provide confidence in the integrity of the models deployed, and push the frontier of AI and machine learning in finance at MoneyLion.

• Lead the technical direction and execution of the complete AI & machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for AI & machine learning projects towards well-defined success metrics
• Ensure the delivery of AI & machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, NLP and LLM/GenAI projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• TA Call
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyLion by 2x

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Overview

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth.

• To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.

• To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.

• To create valuable best practices that can be replicated in other markets.

• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.

• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

• To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.
• To create valuable best practices that can be replicated across other markets.
• To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.

• Bachelor's Degree or Master's in any relevant field of study is required.
• Minimum 3 years of experience in data science or related fields.
• Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.
• Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.
• Good understanding of machine learning algorithm design principles and model management practices.
• Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.
• Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.
• Able to collaborate with other teams to drive positive outcomes.
• Strong business acumen and project management skills, with the ability to manage multiple priorities.
• Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
• Strong sense of urgency and accountability to drive business outcomes.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.