48 Deep Learning jobs in Malaysia

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Role Overview

We are seeking a highly analytical and detail-oriented Data Science Analyst with expert-level Power BI skills and a strong foundation in data analysis, documentation, and communication. This role requires the ability to convert business challenges into scalable data solutions, deliver visually compelling dashboards, and partner closely with cross-functional teams to influence decision-making across multiple markets.

You’ll be instrumental in bridging data, business requirements, and user experiences, while supporting model development and AI-driven features within our CRM ecosystem.

Key Responsibilities

Analysis & Insights

• Apply statistical techniques and data mining methods to large datasets to uncover trends, patterns, and correlations.
• Clean, transform, and validate data for analysis and reporting, ensuring accuracy, completeness, and consistency.
• Collaborate with stakeholders to define KPIs, business rules, and success metrics for various use cases (e.g., churn, campaign performance).
• Design and execute data validation and quality control checks across multiple pipelines.

Power BI & Visualization (Expert Level)

• Build visually intuitive, interactive, and performance-optimized Power BI dashboards to support business and client needs.
• Ensure visualizations are easily understood by non-technical users across markets and functions.
• Leverage advanced features like DAX, row-level security, bookmarks, drill-through, and paginated reports to meet business needs.
• Work closely with engineering and campaign teams to embed insights into real-time reporting solutions.

Documentation & Communication

• Prepare Business Requirement Documents (BRDs), Functional Specifications (FSDs), use cases, and process flow diagrams.
• Translate complex requirements into technical tasks in collaboration with the development team.
• Document analysis outcomes and present clear narratives for internal stakeholders and client partners.
• Support the full data science lifecycle: from defining the business problem, data collection, exploration, modeling, validation, and solution delivery.
• Contribute to proof-of-concepts involving Generative AI, NLP, personalization, or best-next-action models (experience is a plus, not mandatory).
• Engage in agile ceremonies and maintain documentation and collaboration via Jira and Confluence.

Skills & Qualifications

Must-Have:

• 4+ years of hands-on experience building advanced Power BI dashboards.
• Strong proficiency in SQL and handling large relational datasets.
• Demonstrated experience writing BRDs, FSDs, process flows, and structured documentation.
• Strong analytical skills with knowledge of statistical techniques and data mining methods.
• Ability to independently manage tasks while working cross-functionally with tech, campaign, and business teams.
• Excellent communication and problem-solving abilities with a proactive and team-oriented approach.

Preferred / Nice to Have:

• Working knowledge of Python or R for analysis and modeling.
• Familiarity with Azure, Databricks, and cloud-based data tools.
• Experience in AI/ML applications such as NLP, personalization, time-series, or image recognition is a plus.
• Exposure to automated testing tools (e.g., Cucumber) and CI/CD integration for analytics solutions.

• Seniority level Associate

• Employment type Full-time

• Job function Analyst and Consulting
• Industries IT Services and IT Consulting and Consumer Services

Referrals increase your chances of interviewing at CPR Vision Management by 2x

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

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

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago

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

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

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago

Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 4 days ago

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

Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 2 days ago

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

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500 - MYR4,000 1 month ago

Petaling Jaya, Selangor, Malaysia 1 month ago

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This job is a Data Science Manager leading a team to turn data into smart strategies. You might like this job because you'll drive innovation, collaborate with various departments, and help shape business decisions using cutting-edge data insights!

The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization.

Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape.

About the Role:

We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives.

This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs.

Primary Responsibilities:

• Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment.
• Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses.
• Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies.
• Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units.
• Ensure proper data governance, model validation, and documentation standards are followed.
• Present insights and recommendations to senior stakeholders to support data-driven decision-making.
• Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack.
• Stay current with industry trends and advancements in data science, programming and FinTech industry.

Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields.
• 5+ years of experience in data science with at least 2-3 years in a managerial or lead role.
• Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight).
• Excellent communication skills, both technical and non-technical.
• Proven track record of delivering impactful data projects that influence business outcomes.

Preferred Qualifications:

• Ability to work in a fast-paced agile development environment.
• Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks.
• Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello.
• Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions.
• Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration.

Data Analysis

Data Management

Data Modeling

Data Science

Data Warehousing

Database Design

Database Management

Software Engineering

Agile Software Development

Inpatient & outpatient medical benefits are provided to all full time staff.

We provide ample opportunities for career advancement and personal growth within our dynamic environment.

Our pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss!

Weekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin!

Performance appraisal will be conducted twice a year.

We provide the necessary devices for you to do the job.

MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.

Join to apply for the Data Science Manager role at MoneyMatch

1 day ago Be among the first 25 applicants

Join to apply for the Data Science Manager role at MoneyMatch

The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization.

Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape.

About the Role:

We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives.

This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs.

Primary Responsibilities:

• Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment.
• Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses.
• Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies.
• Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units.
• Ensure proper data governance, model validation, and documentation standards are followed.
• Present insights and recommendations to senior stakeholders to support data-driven decision-making.
• Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack.
• Stay current with industry trends and advancements in data science, programming and FinTech industry.

Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields.
• 5+ years of experience in data science with at least 2-3 years in a managerial or lead role.
• Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight).
• Excellent communication skills, both technical and non-technical.
• Proven track record of delivering impactful data projects that influence business outcomes.

Preferred Qualifications:

• Ability to work in a fast-paced agile development environment.
• Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks.
• Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello.
• Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions.
• Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyMatch by 2x

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

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Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.
• Understand Nielsen products and services to suggest new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.

About you

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next.

Qualifications

• Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate.
• Intermediate levels proficiency with Python
• Implementation experiences on automation of processes
• Problem-Solving skills
• Ability to effectively convey complex concepts to non-experts
• Intellectual curiosity and persistence to find answers to questions
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels.
• Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI)

Good to Have

• Knowledge of Machine Learning /Web scrapping
• Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools.
• Up to date with technology and active user of eCommerce platforms
• Familiarity with Atlassian, Git, Bitbucket and Confluence
• Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Great compensation linked to individual performance and company results.

• Hybrid work

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

• Oversee the analytics team to deliver actionable insights for business improvement.
• Develop and implement analytics strategies to enhance decision-making processes.
• Collaborate with cross-functional teams to identify data-driven opportunities.
• Ensure data accuracy and integrity in reporting and analysis.
• Monitor and analyze key performance metrics to evaluate business outcomes.
• Lead the adoption of advanced analytics tools and methodologies.
• Provide guidance and mentorship to team members to foster professional growth.
• Prepare and present high-level reports to senior management.

A successful Senior Manager in Analytics should have:

• A degree in Analytics, Data Science, Business, or a related field.
• Proven expertise in data analytics and business intelligence tools.
• Strong leadership and team management skills.
• Excellent problem-solving and critical-thinking abilities.
• Experience in translating data into actionable insights and strategies.
• Strong communication skills to interact with stakeholders effectively.

• Competitive salary of MYR 180,000 to MYR 240,000 annually.
• Attractive benefits, including a 3-month performance bonus and a 15% EPF contribution.
• Supportive and collaborative work environment in Kuala Lumpur.
• Exposure to advanced analytics tools and methodologies.

This is an excellent opportunity for ambitious professionals to make a significant impact in the Data Science space. Apply now to take your career to the next level!

Apply locations Kuala Lumpur, MY-AIA Malaysia time type Full time posted on Posted 6 Days Ago job requisition id JR-54315

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

• To support on being 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 with business execution that contribute to business growth, customer experience, productivity and optimizes efficiencies.
• Create valuable best practices that can be replicated in other markets.
• To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
• To deliver the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.

Job Description:

• To create and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome.
• Partnering with the Insights team to ensure delivery of analytics workplan in a timely manner with brilliant quality work.
• This role requires candidates to have a hands-on approach and be the analytics technical expert who uses large data sets and strong in applying varieties of machine learning methodology / algorithms with different data tools in developing the models, running simulations & optimization.
• Being an analytics consultant for the business stakeholders and able to coach team members to recommend and deliver the creative analytics solutions for continuous improvements and solving business questions.
• Implement and manage a high standard of procedural documentation.
• Research and experiment with creative and advanced machine learning techniques and tools.
• Drive the collection of new data and refinement of existing data sources.

Job Requirements:

• Bachelor's Degree / Masters in any relevant field of study is required.
• 5 years’+ data science related experience.
• Advance level in programming-based analytics with experience in two or more of the following languages:SQL / R / Python
• Proven experience in building statistical models, segmentations, predictive and propensity models (e.g. clustering, predictive models, neural network, scenario analysis, conceptual modelling, hypothesis testing).
• Good understanding of design and machine learning algorithm principles.
• Good understanding of machine learning model management principles and practices.
• Able to work in a fast-paced, multidisciplinary and competitive environment.
• Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
• Able to collaborate with other teams to drive positive outcomes.
• Strong business acumen and project management skills with ability to manage multiple priorities.
• Added bonus if candidate has experiences over Big Data platform (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.

Data Science & Analytics, Senior Specialist page is loadedData Science & Analytics, Senior Specialist Apply locations Petaling Jaya (First Avenue) time type Full time posted on Posted 8 Days Ago job requisition id R-2025-05-101471

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

GX Bank Berhad (GXBank) is Malaysia’s first digital bank that commenced operation on 1 September 2023. With a workforce of more than 95% Malaysians from both the finance and technology sectors, the bank aims to disrupt the current banking industry with customised innovative solutions that empower Malaysians to be financially resilient and support their financial goals. Powered by Grab, GXBank is a subsidiary of GXS Bank Pte. Ltd., – the digital bank joint venture between Grab Holdings Limited and Singapore Telecommunications Limited (Singtel) – and a consortium of other Malaysian investors, including Kuok Group.

The Group You’ll Be A Part Of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The Group You’ll Be A Part Of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The Impact You’ll Make

Join Lam as an Operations Business Analyst, where you'll spearhead process improvement initiatives. With your data expertise, you collect and analyze data through a range of Business Intelligence (BI) tools and apps, develop metrics, and identify root causes with data-driven indicators for future improvements. Organizing cross-functional project teams, you communicate team progress and survey best practices, showcasing your commitment to operational excellence at Lam.

What You’ll Do

As a Data Science & Analytics Analyst Lead in Global Operations organization at Lam Research you will be responsible for implementing Data Science and Analytics solutions to support decision making and scaling operations. You will be working directly with various business units within Global Operations in helping them solve their business problems and opportunities, develop business requirement documentation, formulate proof of concepts where back testing is applied. All of this in collaboration with data architecture, business units, and development teams. You will also be working with application and business development teams in the design of complex solutions and ensure that they are in alignment with the COE data principles, standards, strategies.

• Lead data science, analytics strategic plans, support the development of enterprise data, and analytics initiatives for Global Operations organization in alignment with Lam’s Analytics guidelines.
• Manage, plan, and organize the overall data science, architecture, and analytics programs with activities aligned with the mission, vision, and goals of the business.
• Develop scalable business processes, data science initiatives, analytic programs to support quantifiable business objectives and goals.
• Continuous Improvement mindset leveraging lean agile development methodologies and deploying advance analytics solutions.
• Develop and maintain professional relationships at all levels; manage high level customer relations; communicate and collaborate with business partners.
• Lead and coordinate activities to ensure transparency and deliverables are being met.
  
  

• Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
• Building AI/ML solutions, Data Science, Engineering, Analytics Strategy for various business units in Global Operations.
• Must know SQL to extract information from various data warehouses data factory, data fabric, synapse, SAP HANA, ABAP, SQL Server.
• Knowledge of SAP ECC/S4 or other ERP systems Material and Vendor Master, Purchasing, MRP, Order Management, BOM, Logistics, Spares, Warehouse.
• Expert understanding of AI/ML & statistics where tools like Python, R, PowerBI, MS Excel, SQL Data models or similar tools that can help drive actionable insights within data quality guidelines.
• Presenting ideas and storytelling with data to decision/policy makers or a large audience.
• Develop meaningful metrics in support of enterprise and line of business strategies.
• Create clear and concise reports in a variety of formats (pdf, word, PowerBI/BI tool, etc.).
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Other
• Industries Semiconductor Manufacturing

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• Sophisticated Analytics and Research:
• Design and implement advanced people analytics projects to address hypotheses.
• Apply strong statistical and machine learning techniques to derive actionable insights that drive business outcomes.
• Develop predictive models and leverage machine learning capabilities for deeper data analysis.
• Partner with diverse business partners across PC&C, C&EA, E&C, and S&O to deliver high-impact insights.
• Manage and influence relationships, optimally communicating findings through compelling storytelling.

• Minimum of 4 years' experience in statistics and analytics within established organizations.
• Proficiency in data science tools and platforms
• Experience with cloud platforms
• Proficiency in NLP methodologies and modeling
• Experience working with NLP libraries and frameworks
• Experience in data quality control, validation, and linkage, with a clear understanding of data protection principles.
• Strong skills in data visualization and the ability to produce clear graphical representations.

• A company culture where we respect our diverse and unified teams, where we are proud of our achievements and where fun and the attitude of giving back to our environment are highly valued
• Possibility to join our social communities and networks
• Learning opportunities and other development opportunities to craft your career path
• Life and health insurance, medical care package
• And many other benefits.