81 Data Science jobs in Kuala Lumpur

Overview

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Specific Responsibilities include

Responsibilities

• Lead, execute, and deliver data science projects for Visa's key clients.
• Develop project scopes, methodologies, and implement solutions using appropriate tools.
• Analyze data using statistical software like Python or R.
• Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
• Maintain quality control and documentation for projects.
• Innovate with Visa's and client data to meet needs.
• Enhance techniques by promoting new methodologies.
• Foster thought leadership and innovation in data science.
• Manage communication with clients and stakeholders.
• Mentor and supervise data scientists in the team.
• Deliver analytics projects providing actionable insights.
• Identify opportunities for innovation using new techniques.
• Manage stakeholders effectively.
• Build visualization capabilities to address client problems.
• Identify market trends through deep analysis of payment industry information.
• Manage the transfer of technical knowledge for business solution implementation.

Work Arrangement

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

• 8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD)
• Extensive experience working with or on the following items:
• Advanced M/L, D/L algorithms, and Generative A.I.
• Extracting and aggregating data from large sets using SQL/Hive or Spark.
• Analyzing large datasets with Python, R, SQL, or Spark.
• Creating visual insights using software such as Tableau and Power BI.
• Communicating data-driven insights and recommendations.
• Building predictive and descriptive models with various tools.
• Performing data mining and statistical modeling.
• Prior experience in financial services is a plus.
• Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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Overview

AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the Data Science, Analyst role at AIA Malaysia.

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. We’re transforming our organisation to be faster, simpler and more connected to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. 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.

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

Responsibilities

• Support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
• Be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies.
• Create valuable best practices that can be replicated in other markets.
• Produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.
• Deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.

Job Requirements

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

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**At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.***As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.**To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.***If you believe in developing a better tomorrow, read on.***About the Role**This role supports the development and execution of analytics strategies that align with AIA’s strategic goals and business growth. • To support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives. • To be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies. • To create valuable best practices that can be replicated in other markets. • To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness. • To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs.**Roles & Responsibilities:*** To be part of the data science team in delivering analytical work that supports business execution, contributing to business growth, enhancing customer experience, improving productivity, and optimizing efficiencies.* To create valuable best practices that can be replicated across other markets.* To produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness.* To deliver the analytics workplan in collaboration with the Insights team and business users, ensuring high-quality output that aligns with business pace and priorities.**Job Requirements:*** Bachelor's Degree or Master's in any relevant field of study is required.* Minimum 3 years of experience in data science or related fields.* Expert in programming-based analytics, with experience in two or more languages such as SQL, R, or Python.* Proven experience in building statistical models, segmentations, and predictive or propensity models, including clustering, neural networks, scenario analysis, conceptual modelling, and hypothesis testing.* Good understanding of machine learning algorithm design principles and model management practices.* Able to work effectively in a fast-paced, multidisciplinary, and competitive environment.* Strong analytical skills, deductive reasoning, problem-solving, and critical thinking abilities.* Able to collaborate with other teams to drive positive outcomes.* Strong business acumen and project management skills, with the ability to manage multiple priorities.* Added bonus if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.* Strong sense of urgency and accountability to drive business outcomes.*Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.**You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.*
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Overview

Visa Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose‑driven industry leader. Join us today and experience Life at Visa.

Job description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Responsibilities

• Lead, execute, and deliver data science projects for Visa's key clients.
• Develop project scopes, methodologies, and implement solutions using appropriate tools.
• Analyze data using statistical software like Python or R.
• Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools.
• Maintain quality control and documentation for projects.
• Innovate with Visa's and client data to meet needs.
• Enhance techniques by promoting new methodologies.
• Foster thought leadership and innovation in data science.
• Manage communication with clients and stakeholders.
• Mentor and supervise data scientists in the team.
• Deliver analytics projects providing actionable insights.
• Identify opportunities for innovation using new techniques.
• Manage stakeholders effectively.
• Build visualization capabilities to address client problems.
• Identify market trends through deep analysis of payment industry information.
• Perform client-specific analysis on portfolio data.
• Manage the transfer of technical knowledge for business solution implementation.

Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 4 years with anAdvanced degree (e.g. Masters, PhD).
• Extensive experience working with or on the following items: advanced M/L, D/L algorithms, and Generative AI.
• Extracting and aggregating data from large sets using SQL/Hive or Spark.
• Analyzing large datasets with Python, R, SQL, or Spark.
• Creating visual insights using software such as Tableau and Power BI.
• Communicating data-driven insights and recommendations.
• Building predictive and descriptive models with various tools.
• Performing data mining and statistical modeling.
• Prior experience in financial services is a plus.
• Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.).

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Job details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting

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Overview AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth.

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.

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

Responsibilities

To create a Centre of Excellence for analytics solution strategy to enable AIA’s vision in helping more Malaysians live healthier, longer and better lives.

To build, lead and inspire the data science team to deliver brilliant analytics work that drives business growth, customer experience, drive productivity and optimize efficiencies.

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

To develop best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.

To create and manage the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.

Roles & Responsibilities

To create the data science approach and roadmap to support the long-term and short-term business needs.

To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work.

To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes.

To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions.

To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company.

To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions.

To implement and manage a high standard of procedural documentation.

To research and experiment with creative and advanced machine learning techniques and tools.

To drive the collection of new data and the refinement of existing data sources.

To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members.

Qualifications

Bachelor’s or Master’s Degree in a relevant field of study is required.

Minimum of 5 years of relevant working experience.

Expertise in programming-based analytics, with experience in at least two languages: SQL (mandatory), R, Python, SAS.

Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing).

Good understanding of machine learning algorithm design principles.

Good understanding of machine learning model management practices.

Ability to work in a fast-paced, multidisciplinary, and competitive environment.

Strong analytical, problem-solving, deductive reasoning, and critical thinking skills.

Ability to collaborate effectively with other teams to drive positive outcomes.

Strong project management skills and ability to manage multiple priorities.

Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera.

Strong sense of urgency and accountability to drive business outcomes.

Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus.

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Education and Training

Industries

Insurance

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Specific Responsibilities include Lead, execute, and deliver data science projects for Visa's key clients. Develop project scopes, methodologies, and implement solutions using appropriate tools. Analyze data using statistical software like Python or R. Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools. Maintain quality control and documentation for projects. Innovate with Visa's and client data to meet needs. Enhance techniques by promoting new methodologies. Foster thought leadership and innovation in data science. Manage communication with clients and stakeholders. Mentor and supervise data scientists in the team. Deliver analytics projects providing actionable insights. Identify opportunities for innovation using new techniques. Manage stakeholders effectively. Build visualization capabilities to address client problems. Identify market trends through deep analysis of payment industry information. Perform client-specific analysis on portfolio data. Manage the transfer of technical knowledge for business solution implementation. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications

8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD) Extensive experience working with or on the following items: Advanced M/L, D/L algorithms, and Generative A.I. Extracting and aggregating data from large sets using SQL/Hive or Spark. Analyzing large datasets with Python, R, SQL, or Spark. Creating visual insights using software such as Tableau and Power BI. Communicating data-driven insights and recommendations. Building predictive and descriptive models with various tools. Performing data mining and statistical modeling. Prior experience in financial services is a plus. Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.). Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

#J-18808-Ljbffr

Overview

Visa Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose‑driven industry leader. Join us today and experience Life at Visa. Job description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Responsibilities

Lead, execute, and deliver data science projects for Visa's key clients. Develop project scopes, methodologies, and implement solutions using appropriate tools. Analyze data using statistical software like Python or R. Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools. Maintain quality control and documentation for projects. Innovate with Visa's and client data to meet needs. Enhance techniques by promoting new methodologies. Foster thought leadership and innovation in data science. Manage communication with clients and stakeholders. Mentor and supervise data scientists in the team. Deliver analytics projects providing actionable insights. Identify opportunities for innovation using new techniques. Manage stakeholders effectively. Build visualization capabilities to address client problems. Identify market trends through deep analysis of payment industry information. Perform client-specific analysis on portfolio data. Manage the transfer of technical knowledge for business solution implementation. Qualifications

8+ years of relevant work experience with a Bachelor's Degree or at least 4 years with anAdvanced degree (e.g. Masters, PhD). Extensive experience working with or on the following items: advanced M/L, D/L algorithms, and Generative AI. Extracting and aggregating data from large sets using SQL/Hive or Spark. Analyzing large datasets with Python, R, SQL, or Spark. Creating visual insights using software such as Tableau and Power BI. Communicating data-driven insights and recommendations. Building predictive and descriptive models with various tools. Performing data mining and statistical modeling. Prior experience in financial services is a plus. Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.). Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Job details

Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: IT Services and IT Consulting

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Overview

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Specific Responsibilities

include Responsibilities

Lead, execute, and deliver data science projects for Visa's key clients. Develop project scopes, methodologies, and implement solutions using appropriate tools. Analyze data using statistical software like Python or R. Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools. Maintain quality control and documentation for projects. Innovate with Visa's and client data to meet needs. Enhance techniques by promoting new methodologies. Foster thought leadership and innovation in data science. Manage communication with clients and stakeholders. Mentor and supervise data scientists in the team. Deliver analytics projects providing actionable insights. Identify opportunities for innovation using new techniques. Manage stakeholders effectively. Build visualization capabilities to address client problems. Identify market trends through deep analysis of payment industry information. Manage the transfer of technical knowledge for business solution implementation. Work Arrangement This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications

8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD) Extensive experience working with or on the following items: Advanced M/L, D/L algorithms, and Generative A.I. Extracting and aggregating data from large sets using SQL/Hive or Spark. Analyzing large datasets with Python, R, SQL, or Spark. Creating visual insights using software such as Tableau and Power BI. Communicating data-driven insights and recommendations. Building predictive and descriptive models with various tools. Performing data mining and statistical modeling. Prior experience in financial services is a plus. Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.). Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

#J-18808-Ljbffr

Overview

AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. Join to apply for the Data Science, Analyst role at AIA Malaysia. At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. We’re transforming our organisation to be faster, simpler and more connected to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. 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. If you believe in developing a better tomorrow, read on. Responsibilities

Support the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives. Be part of the data science team to deliver analytical work that drives business growth, enhances customer experience, improves productivity, and optimizes efficiencies. Create valuable best practices that can be replicated in other markets. Produce best practice analytics solutions that support business decisions with measurable success, driving growth and effectiveness. Deliver the analytics workplan in collaboration with the Insights team and business users, ensuring timely and high-quality output that meets business needs. Job Requirements

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

#J-18808-Ljbffr