238 Senior Scientist jobs in Malaysia

Overview

Data Scientist (Python, Problem Solving, Machine Learning) – Mercedes-Benz Group AG

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. This is a tech company that values agility, innovation, and continuous learning.

• Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models.
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labeling processes.
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance.
• Documentation and communication of the procedures and results in a target group-adequate form.

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, capturing requirements and translating them into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, and conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also based on scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• Integration of design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

• Experience: Minimum of 5 years’ working experience in a related field.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies.
• Experience with Enterprise technologies.
• Experience with Product Oriented Teams.
• Programming or Data Architecture related certification.

• Analytical, passionate and drives technology and product quality.
• Result-oriented thinking and action.
• Broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Knowledge of mathematical and formal methods with their strengths and weaknesses.
• Knowledge of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in a target group-adequate form.

• SQL/noSQL
• Python or R
• Spark, Apache libraries
• Machine Learning algorithms
• Cloud Computing and Data Architectures

Overview

• Work in exciting new projects with new technologies
• Opportunity to work in cross functional international teams

The hiring company is a large organization within the industrial/manufacturing industry. It is committed to innovation and utilizing advanced technologies to enhance its operations and deliver exceptional results.

• Analyze large datasets to identify patterns, trends, and actionable insights.
• Develop and implement predictive models and machine learning algorithms.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Present findings and recommendations to stakeholders in a clear and impactful manner.
• Maintain and optimize existing data pipelines and systems.
• Ensure data quality and accuracy through robust validation processes.
• Research and apply the latest technologies and methodologies in data science.
• Support decision-making processes with advanced data analytics.
• Analyze complex datasets to uncover actionable insights and trends.
• Develop and implement machine learning models to solve business challenges.
• Collaborate with cross-functional teams to identify data-driven solutions.
• Create data visualizations and dashboards to communicate findings effectively.
• Ensure data quality and integrity throughout the analysis process.
• Provide technical expertise to enhance data processing and analytics systems.
• Document processes, methodologies, and results for future reference.
• Stay updated on the latest trends and advancements in data science and technology.
• Requirements analysis and customer consulting for analytics topics.
• Identification, extraction, transformation and loading of data.
• Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
• Modelling of data according to common methods for further processing.
• Testing and quality assurance of data.
• Use of source control and CI/CD processes.
• Analyse linking of data using SQL, statistics, and data science to generate new insights.
• Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
• Provide data through file sharing or REST APIs.
• Creation of data architectures based on public cloud services
• Collaboration in agile projects.

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Strong knowledge of programming languages such as Python or R.
• Experience with data visualization tools and techniques.
• Proficiency in handling large datasets and working with databases.
• Understanding of machine learning models and statistical methods.
• An analytical mindset with excellent problem-solving skills.
• Ability to work collaboratively in a team environment.

• Contract: 1 year
• Medical Benefits
• Opportunities to work with cutting-edge technologies in the industrial/manufacturing sector.
• Collaborative and innovative work culture.

If you are passionate about data and innovation, apply now to take the next step in your career as a Data Scientist!

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, Kuwait, Port Louis, and others.

Check out more about CFI here.

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!

We are seeking a highly motivated Data Scientist to join CFI Team. In this role, you will leverage data to optimize our user journeys from lead generation to trading and guide our team towards data-driven decision making.

• Develop and improve “traditional” machine learning model s (examples classification, regression, and clustering models).
• Contribute to building AI agents and applications using large language models (LLMs).
• Work with Retrieval-Augmented Generation (RAG) systems and tools like LangChain.
• Support the implementation of data pipelines and ML workflows within Databricks.
• Collaborate with cross-functional teams including data engineering, product, and
• business stakeholders.
• Assist in monitoring model performance.
• Analyze large datasets to extract actionable insights, validate hypotheses, and support business decision-making.
• Develop scripts and utilities for data preprocessing, feature engineering, and model
• evaluation.
• Help integrate models with APIs and financial data sources.
• Follow best practices in coding, testing, and documentation.
• Participate in model and code reviews, ensuring quality and adherence to team
• standards.
• Stay current on advancements in AI, LLMs, and data science to propose and evaluate new approaches.
• Foster a collaborative environment that encourages innovation and knowledge sharing.

• Expert-level proficiency in classification, regression, boosting, and clustering algorithms including working with ML libraries (like TensorFlow, PyTorch, Scikit-learn, Keras)
• Familiarity with LLMs and AI agent frameworks (e.g., LangChain)
• Hands-on experience in RAG systems
• Hands-on experience of model communication protocols (MCP) and integration patterns
• Experience with Databricks or similar ML platforms
• Basic understanding of MLOps and deploying models into production
• Proficiency in Python and SQL; knowledge of ETL/ELT processes
• Good communication skills and ability to work in a team
• Bachelor’s or master’s degree in computer science, Data Science, or related field
• Familiarity with real-time data processing and streaming architectures
• Bonus: experience in fintech, financial markets, or working with financial APIs

• 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

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About the Job: The job is to use data analysis, statistical techniques, machine learning, and domain knowledge to extract valuable insights and solve complex problems.

You will work in an AGILE team to solve complex customers’ challenges. Perform data collection and cleaning, conduct exploratory data analysis, develop and implement machine learning models and algorithms for predictive analytics, and deliver clear and informative data visualizations.

About the Team: We are part of the PathWave Manufacturing Analytics R&D team that is responsible for the growth of the Keysight businesses. The team consists of a Manager, Architect, Data Engineers, Data Scientists, UI/UX Developers and DevOps Engineers, delivering first-in-class software solutions to our customers.

Responsibilities: The data scientist will leverage data to extract valuable insights, make predictions, and drive business decisions across a wide range of industries and domains. Responsibilities require a combination of technical skills, domain expertise, and effective communication to deliver actionable results.

As the data scientist, you will do the following:

• Work with stakeholders to understand goals
• Explore ideas/solutions to resolve customers’ use-cases
• Acquire and clean data
• Perform data investigation and exploratory analysis
• Identify potential models and algorithms
• Apply science techniques with test measurement techniques
• Present results to stakeholders
• Work with development team to implement data science models into PathWave Manufacturing Analytics (PMA) solution
• Work on data parsers to output JSON format suitable for PMA solution

Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related discipline.
• 3 to 5 years’ experience in Data Scientist related roles.
• Strong organizational and project management skills.
• Experience with algorithms such as linear regression, k-nearest neighbors, decision trees, etc.
• Knowledge of big data databases like HBase and Hive is preferred.
• Proficiency in Python and Java is preferred.
• Knowledge in electronics measurement domain is preferred.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Good teamwork and collaboration skills.

Careers Privacy Statement

Keysight is an Equal Opportunity Employer.

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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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

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