135 Data Scientist jobs in Kuala Lumpur

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

Responsibilities

• Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
• Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM) and prompt engineering for factory/engineering usage
• Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
• Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
• Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, AR, Computer vision and Visualization/Web App) independently and delivered on time.
• Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
• Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
• Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

Qualification

• Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
• We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
• Preferably minimum 3-4years of working experience in related field (Generative-AI & Chatbot).

Skills

• Required: Python, LLM, Prompt Engineering, Chatbot, Generative -AI, Augmented Reality, Computer Vision
• Added Advantage: Agentic AI and Multi-Agent architecture.
• Practical experience in application of ML and Deep Learning algorithms.

• SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS etc.
• Some experience with web front end development: .NET, VB.NET, C#, HTML/CSS, JavaScript, NodeJS, JQuery & Angular
• Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
• Experience in data mining, data wrangling, and handling JSON, CSV files.
• Hands on experience with Docker, Kubernetes, Edge computing and AWS. etc
• Experience with data visualization methods (Spotfire, PowerBI, Grafana)
• The ability to problem solves and provide complex solutions with minimal supervision
• Knowledge of Agile development, SCRUM and Application Lifecycle Management
• Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
• Self-motivated, strong ownership and ability to work independently with minimal supervision

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately toWestern Digital Ethics Helpline or email .

Join to apply for the Data Scientist role at Epergne Solutions .

Development experience in one or more object-oriented programming languages (e.g., Python, Java).

Experience working closely with data scientists, data engineers, software engineers, data managers, and business partners.

Ability to build scalable, reusable, impactful data science products, often containing statistical or machine learning algorithms, in collaboration with data and software engineers.

Proficiency in conducting data analyses to generate actionable business insights.

Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.

Applied knowledge of data science tools and approaches across all stages of the data lifecycle.

Thorough understanding of the mathematical foundations of statistics and machine learning.

Development experience in object-oriented programming languages (e.g., Python, Java).

Strong software engineering and machine learning system design experience.

Advanced SQL knowledge.

Customer-centric and pragmatic mindset, focusing on value delivery and swift execution while maintaining attention to detail.

Excellent communication skills, including written communication.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Job Purpose

Develop analytical capabilities and data science algorithms that enable to do targeted marketing, optimization of processes and support other function areas of the bank. Primary focus will be in applying machine learning techniques, doing statistical analysis, and building high quality prediction and AI systems integrated with the bank’s products and functions.

Key Responsibilities

Strategy and Planning

• Support Big Data analytics for MY initiatives.
• Leverage state of the art algorithms to deliver value of big data to business.

Business and Performance and Management

• Exploratory data analysis and model development using state-of-the-art methods, keeping abreast with latest developments in machine learning and applying them to solve business problems
• Selecting features, building and optimizing classifiers using machine learning techniques
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Perform analysis and presenting results in a clear and concise manner
• Creating automated model automation to produce periodic output systems and constant tracking of its performance
• Building and integrating Large Language Model (LLMs) and LangChain into the business processes

Regulatory Compliance

• Ensures all Group Consumer operations are in compliance with Group, local and regional regulations

Qualifications

Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics)

Relevant Work Experience

Candidate must have at least 5-6 years of hands on experience in statistical modeling using machine learning and AI techniques

Key Competencies

Technical/Functional skills

• Demonstrated experience in applying and implementing machine learning techniques such as neural networks, SVM, recommender engines, deep learning algorithms (e.g., TensorFlow, PyTorch), etc.
• Some knowledge of NLP, computer vision, and other generative AI techniques (e.g., GPT, BERT, GANs) is encouraged
• Strong knowledge of common data science toolkits like tools like R / Python.
• Experience with MLOps tools and practices, including version control, CI/CD, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
• Familiar in SQL and visualization tool such as Excel and QlikView,
• Knowledge in Big Data Tools (e.g. Hive, Impala, Hadoop and Spark) is an added advantage.
• Hands-on experience utilizing cloud base data analytics offering and services is an added advantage

Personal skills

• Ability to manage AI/ML projects, including model development, testing, deployment, and monitoring.
• Strong presentation and influencing skills required to put forward solution/ model to solve business problems
• Active team player that support various solution/ model initiatives across the bank
• Builds strong culture of excellent service and high performance

Key Responsibilities:
• Partner with Data Scientists and business partners to architect, drive design, implement diagnostic & predictive analytics solutions with Python, Power BI and/or Tableau.
• Developing and maintaining advanced analytics, dashboards, and other BI solutions.
• Build custom quantitative models by applying advanced statistical methods (e.g., causal and predictive modeling, forecasting, data mining, simulation, and/or optimization)
• Interpret results of quantitative models, identify trends and issues, and develop alternatives to support business objectives.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Perform software validation and/or testing requirements and activities

Education and Experience:
• Bachelor’s Degree in in Computer Science, Engineering, Mathematics, Statistics or a related field Required
• 4 + years of experience in data science, software development, tool development, database design, analytics and dashboard creation, related work Required
• Experience working in a medical device and/or regulated industry Preferred
• Experience working in/for Supply Chain and/or Quality functions Preferred

Skills and Qualification:
• Extensive experience in developing, maintaining, and managing Python, Power BI and/or Tableau driven dashboards & analytics and working knowledge of administration/architecture.
• Good exposure to Data Warehousing system like Snowflake, Teradata, or Redshift.
• Experience in documenting data flows, business processes, power point presentations
• Solid knowledge and understanding with BI, reporting, data mining, or multi-data center applications

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Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Hytech Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

We are looking for an experienced and innovative Data Scientist to join our global business intelligence & strategy team to design and build intelligent applications using Large Language Models (LLMs) and machine learning models to monitor our platform, detect anomalous activity, perform root cause analysis, and generate automated, natural language insights for both our internal business leaders and our clients.

Key Responsibilities:

• Design and develop applications using LLMs to analyze business data to derive actionable insights.
• Build AI applications to solve business cases, such as detecting abnormalities in customer behavior, business performance and operational metrics.
• Implement AI-driven root cause analysis tools that identify underlying issues, such as algorithmic misbehavior, or system faults.
• Use LLMs to summarize complex insights in natural language, producing interpretable outputs for non-technical stakeholders.
• Integrate AI outputs into internal dashboards or alerting systems used by management teams.
• Collaborate closely with data engineers and business stakeholders to align AI solutions with real-world needs.
• Fine-tune and deploy open-source or proprietary LLMs (e.g., GPT, Claude, Mistral) for business-specific use cases.
• Contribute to the development of a scalable AI platform capable of supporting multiple real-time and batch inference use cases.

Qualifications:

Required:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 3+ years of experience in AI/ML engineering, with proven work in NLP and LLM-based applications.
• Strong coding skills in Python, including experience with libraries like Transformers (Hugging Face), LangChain, PyTorch/TensorFlow.
• Experience building anomaly detection or real-time alerting systems.
• Familiarity with time-series data analysis and financial data structures.
• Ability to translate technical AI output into clear business insights.
• Strong communication skills, with fluency in Mandarin to communicate with stakeholders from China and Taiwan.

Preferred:

• Background in Fintech industries would be a plus
• Experience with LLM deployment in production (APIs, latency optimization, prompt engineering).
• Exposure to MLOps tools (e.g., MLflow, Docker, CI/CD pipelines for ML).

• Mid-Senior level

• Full-time

• Consulting

• Desktop Computing
• Software Products and IT
• System Custom Software Development

Senior Talent Acquisition at Wellous Sdn Bhd

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

• Analyze large and complex datasets to uncover trends, patterns, and actionable insights.
• Conduct in-depth research and convert raw data into clear, useful intelligence for marketing and business teams.
• Apply statistical models and machine learning algorithms to forecast sales, customer behavior, and operational outcomes.
• Design and develop real-time dashboards and automated reports using Power BI, Tableau, or similar platforms.
• Support marketing efforts with insights into customer segmentation, campaign performance, and market trends.
• Visualize and present data findings in an intuitive and compelling format for cross-functional stakeholders.
• Collaborate with Sales, Marketing, IT, and Finance teams to align data strategies with business objectives.
• Design and execute A/B testing to evaluate campaign or pricing strategies.
• Stay updated on advancements in data science, artificial intelligence, and automation tools.

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 2–4 years of experience in data analytics, business intelligence, or a related role.
• Proficiency in data tools such as Power BI, Tableau, Python, R, or SQL.
• Strong understanding of machine learning, statistical analysis, and predictive modeling.
• Excellent communication and data storytelling skills.
• Ability to work independently and manage multiple priorities.

ML Modelling: Develop and evaluate statistical/ML models.

Software Testing: Experience with testing methodologies and tools.

Data Analysis: Proficient in data wrangling and analysis (Python, R, SQL).

AI/ML Testing: Experience testing AI/ML models, including prompt engineering and bias detection.

ML Systems: Design and implement ML systems; strong Python/SQL; software engineering best practices; Azure experience; excellent communication.