77 Information Science jobs in Malaysia

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

The Data Analyst III role consults with internal stakeholders to understand problems, collect and analyze data to support data driven business decisions. This role uses data tools to collate, model, interpret, develop visualizations/information products, and communicate to the business. Specifically, individuals in this role will execute on projects/initiatives with high complexity independently. The role will be on shift hour ideally from 3PM to 12AM.

Responsibilities

• Solid understanding of best practices
• Executes on projects and initiatives independently
• Provides support to the analytics team members
• Begins to lead analytics effort with high complexity
• Partners with stakeholders to understand their business needs and to make suggestions for analysis and metrics to drive insights and recommendations
• Understands who the customers are and what is happening in the market with necessary commercial awareness
• Creates visual displays of data through selected tools and analytical packages
• Effectively lead and manage small/operational analytics projects

Qualifications:

• Bachelors or Master Degree in Data Analytics/Data Science/Math or equivalent work experience
• Ability to understand complex data structure and to apply advanced blending and refinement techniques including big data and knows how to apply advanced data preparation and refinement techniques
• Significant experience leveraging SQL for data querrying
• Experience with different visualizations tools such as Tableau or PowerBI
• Experience in intermediate statistics
• Basic knowledge of big data platforms
• Ability to present complex issues in simple and sophisticated insights
• Ability to combine visualizations from multiple sources to tell an effective and engaging story
• Knowledge of different project management approaches and lifecycles

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
• Life Assurance Policies: Providing financial security for your loved ones.
• Long Service Award: Recognition for your dedication and loyalty
• Access to Learning and Development Resources: Empowering your professional growth.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

• Conduct Post-Doctoral Research for the grant “A Fixed-Point-Oriented Programming Language with User-Directed Optimizations”
• Develop implementation for the programming language being researched
• Develop language semantics and theory for the programming language being researched
• Publish academic papers for the language being researched

• PhD in Computer Science or other related field focusing on Programming Languages or other related area
• Knowledge of programming language theory
• Knowledge and experience in programming language implementation
• Ability to conduct and publish research

• Analyze business data to interpret business reports, trends and provide suggestions for Management and Head of Department (HOD)
• Drive data remediation projects with existing team.
• Using data driven approach to identify business drivers which can lead to revenue growth and increased profitability.
• Develop visualization and presentation for dissemination of analytical results and derivation of actionable insights.
• Define and optimize marketing automation strategy and build customer segments to facilitate marketing targeting.
• Perform root cause analysis, fix data quality issues and provide ongoing reports.
• Create and maintain optimal data pipeline architecture including assembling large complex data sets to be ready for data analytics.
• Manage database and CRM data, solving any problem during analysis and implementation with Japan Headquarter and HOD.
• Communicate report findings/business insights to business stakeholders through meaningful dashboard/data visualization tools.
• Coordinate with different functional teams to implement models, while monitoring and analyzing model performance and data accuracy.
• Work collaboratively with key departments and Manager in delivering high quality analytics support to management and other stakeholders using statistical and analytical skills and tools.
• Ensure initiatives are aligned with policies and standard operating protocols.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, .
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Applications are invited for a postdoctoral research position in the Department of Physics at the National University of Singapore, in the research group of Assistant Professor Marc Hon. The successful candidate will develop and apply modern machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy.

Research directions will be flexible and shaped according to mutual interests. Potential areas include — but are not limited to — stellar variability, exoplanets, transient phenomena, and the discovery of new astrophysical events. Projects may make extensive use of archival data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is expected, and familiarity with modern machine learning methods will be considered an asset.

NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance.

• Qualifications/ Discipline: PhD in Physics, Data Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline.

• Skills:

- Strong analytical and computational skills in data science, statistical analysis, or machine learning.

- Proficiency with Python and data analysis frameworks.

- Familiarity with large, complex datasets and modern computational techniques.

- Good written and oral scientific communication skills.

• Experience:

- Demonstrated experience conducting independent research involving the analysis of large datasets.

- Familiarity with modern machine learning methodologies is strongly desirable.

- A publication record demonstrating relevant skills in astronomy, astrophysics, physics, computer science, or related field

Applicants should submit a cover letter outlining their research interests and relevant experience, a curriculum vitae including a full list of publications, and a brief (2-3 page) description of research interests, and the contact information of three referees who can provide letters of recommendation.

• Identifying and analyzing business needs
• Conducting requirements gathering, and defining scope and objectives
• Making recommendations for solutions or improvements to business processes that can be accomplished through new technology or alternative uses of existing technology.
• Translating business requirements into application requirements
  
  

• Ability to rapidly assimilate information and processes related to one or several tracks within the Data & Analytics
• Capacity to understand, analyze and depict high level architecture or solutions to turn data to insight.
• Knowledge and experience in gathering requirements, functional design, testing and working with business processes.
• Understanding of how IT affects an organization and ability to link it to redesigned business processes.
  
  

• Utilize data analysis tools and programming languages (e.g., SQL) to manipulate and analyze data.
• Develop and maintain dashboards, reports, and data visualizations.
  
  

• Assist in project planning and coordination for data analysis initiatives.
• Track and report on project progress, ensuring that timelines and objectives are met.
  
  

• Networks with other PPG Analysts to understand how IT solutions are deployed in other areas to solve business problems.
• Foster and maintain good relationships with customers and IT colleagues to meet expected customer service levels.
• Share responsibility with other team members to ensure on-time product delivery, which require a clear understanding of expectations and capabilities as well as the ability to act effectively as a team member.
  
  

• Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
• 0-2 years of IT or a related discipline experience. Outstanding fresh graduates are welcome.
• Analytical and conceptual skills
• Strong oral and written communication skills, including technical writing.
• Must have a strong systems and process orientation.
• Must be comfortable working remotely and lack of face-to-face time with colleagues and managers.