What Jobs are available for Data Scientists in Kuala Lumpur?

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Wilayah Persekutuan Kuala Lumpur, Malaysiatime type:

Full timeposted on:

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R • Provides statistical methodology support in the delivery of standard and custom studies.

• Applies statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.

• Works as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis.

• Works on projects of limited scope within defined procedures and practices.

**Qualifications**• Bachelor's Degree Statistics, Mathematics, Data Science, or related field

• Two (2) years of experience in operations research, market research, or applied statistics

• Technical knowledge/skills include: regression analysis, sampling, and basic knowledge of SAS/Python programming. Basic understanding of statistical and machine learning models.• Ability to carry out moderate analysis and information gathering to resolve problems on non-routine matters.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us. #J-18808-Ljbffr

EY Federal Territory of Kuala Lumpur, Malaysia

Data Science Specialist EY’s AI & Data team is growing and seeking exceptional talent at multiple levels – from

Senior Associate

to

Senior Managers

– to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you’ll be instrumental in designing and implementing AI-driven solutions, including

Generative AI (GenAI) , for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.

We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full‑time basis role and is based in our Kuala Lumpur, Malaysia office

Key Responsibilities

Lead the delivery of end‑to‑end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.

Collaborate with stakeholders to understand business problems and translate them into analytical solutions.

Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.

Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.

Build and manage reusable ML pipelines and support MLOps practices to operationalize models.

Mentor junior data scientists and contribute to capability building within the team.

Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.

Present findings and insights in a clear, compelling way to business and technical audiences.

Skills and Attributes for Success

Strong analytical and problem‑solving skills with the ability to think strategically and act tactically.

Proficiency in Python or R, with hands‑on experience using libraries such as Scikit‑learn, PyTorch, TensorFlow, and Hugging Face Transformers.

Experience building and fine‑tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.

Solid understanding of NLP, deep learning, and data modeling techniques.

Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).

Excellent communication and stakeholder engagement skills.

To qualify for the role, you must have

A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.

For

Senior Associate : Minimum 2+ years of hands‑on experience in data science or AI projects.

For

Manager to Senior Managers : 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.

Demonstrated experience applying both traditional ML and GenAI in real‑world business use cases.

Experience working with large language models (LLMs) and/or vector databases is a strong advantage.

Ideally, you’ll also have

Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).

Experience with responsible AI practices, explainability, and AI ethics.

Previous consulting or client‑facing experience, ideally in cross‑industry engagements.

What we look for

Experience in engaging with both technical and non‑technical stakeholders

Strong consulting experience and background, including engaging directly with clients

Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects

What we offer EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

Continuous learning:

You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you:

We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership:

We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture:

You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

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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.* #J-18808-Ljbffr

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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Overview

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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MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. About Us

MoneyLion is America’s most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals. Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less. About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry! As a

Data Science Manager

in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion’s machine learning algorithms behind MoneyLion’s data-driven products. Key Responsibilities

Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post-production Envision and craft roadmap for machine learning projects towards well-defined success metrics Ensure the delivery of machine learning systems according to roadmap and with exceptional quality Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact About You

Demonstrated experience in leading data science teams with strong focus on success metrics Experience owning, building, and validating machine learning systems in production Practical experience with deep learning, computer vision, and NLP projects Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras Proficient in programming languages such as Python and SQL Strong understanding of data structures, data modeling and software architecture Deep knowledge of probability, statistics, distributions, and analysis methods Have strong product/business orientation What's Next. After you submit your application, you can expect the following steps in the recruitment process: Online Technical Test Interview - Talent Acquisition Team (Virtual or face-to-face) Take-Home Assessment Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face) What We Value

We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork, customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission. Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes: Competitive salary packages Comprehensive medical, dental, vision and life insurance benefits Wellness perks Paid parental leave Generous Paid Time Off Learning and Development resources Flexible working hours MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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Responsibilities

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:

Qualifications

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.

What's on Offer

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!

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Analyst Programmer – Data Scientist Location:

Bangsar South, Kuala Lumpur

LPS is a leading E2E solution provider, company partner dedicated to unlocking IT systems across regions. This role offers an exciting opportunity to join our dynamic team in Malaysia. By joining LPS Technology, you'll help create a smooth and seamless experience for customers interacting with LPS, while also enhancing their independence. Your mission will be to enhance these interactions through ongoing improvements and updates to our technology.

You Will

Collaborate with data scientists, engineers, and product teams to design and build AI-driven applications and automation solutions that improve operational efficiency.

Support the development and integration of Generative AI capabilities using Large Language Models (LLMs) and prompt engineering.

Design, develop, and maintain full‑stack applications or system components involving AI/ML models, APIs, and data pipelines.

Integrate AI features (e.g. chatbots, document understanding, summarization, or vision analytics) into internal tools and systems.

Manage and integrate REST APIs to connect analytics services, LLM backends, and external systems securely and efficiently.

Support the deployment and monitoring of AI models using DevOps/MLOps tools such as Docker, Kubernetes, and MLflow, and deploy to AWS or edge environments.

Translate business or user requirements into technical specifications and system designs.

Continuously learn and apply emerging technologies in AI/ML, LLMs, and cloud‑native applications to production use cases.

You Bring

Bachelor’s or master’s degree in computer science, data science, engineering, statistics, or a related discipline.

3 to 5+ years of experience in data science, with at least 2–3 years of hands‑on experience in data engineering or backend data workflows.

Proficient in Python (Pandas, NumPy, scikit‑leaf) and SQL.

Strong grasp of machine learning, deep learning, and statistical modeling.

Deep understanding of cloud platforms (AWS, GCP, Azure), especially cloud‑based data services.

Familiarity with CI/CD pipelines, Docker, and container orchestration (e.g. Kubernetes).

Exposure to modern data platforms: Snowflake, Databricks, BigQuery, etc.

Knowledge of data pipelines, SQL, and data processing frameworks is a plus.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Information Technology

Industries IT Services and IT Consulting

Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state or local protected class.

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