If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Lead the full data science lifecycle by building reproducible, automated pipelines from raw data extraction and preprocessing to model training, evaluation, and deployment.
Partner closely with business and operations teams to translate real-world operational challenges into effective feature engineering, custom model designs, and aligned evaluation metrics.
Apply deep theoretical and practical understanding across the algorithm spectrum, ranging from foundational statistical models to complex Deep Neural Networks and Transformers....
Create and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.
Develop SQL/Python code and data models which support the strategic goals of Mattel’s Supply Chain organization
Use advanced statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies in supply chain data....
Create and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.
Develop SQL/Python code and data models which support the strategic goals of Mattel’s Supply Chain organization
Use advanced statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies in supply chain data....
Create and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.
Develop SQL/Python code and data models which support the strategic goals of Mattel’s Supply Chain organization
Use advanced statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies in supply chain data....
Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
Data wrangling & analysis - preprocessing, cleaning and feature engineering...
Create and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.
Develop SQL/Python code and data models which support the strategic goals of Mattel’s Supply Chain organization
Use advanced statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies in supply chain data....
Work with product owners, engineering teams, and industry partners throughout the product developmentlifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalization,industry proliferation, to product end-of-life
Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that arerelevant to the industry
Develop and deploy software components based on microservices-based architecture...
Design and conduct exploratory data analysis to identify new ideas, hidden patterns, and opportunities for air traffic optimization.
As opposed to other domains, the quantity of data in the aeronautical space is not huge, therefore thinking outside of the traditional ML boxes is essential to propose new AI solutions specific to that field.
Design, develop, and deploy ML models for real-time classification, regression, and sequence prediction using PyTorch, TensorFlow, or Scikit-learn, including transformer-based architectures for spatial-temporal problems...
As a Data Scientist at AirAsia, you won't just be crunching numbers; you’ll be building the engines that power Asia's leading travel and fintech platform. You will collaborate with cross-functional teams to solve complex problems in revenue management, personalized marketing, and operational efficiency. We are looking for someone who loves the "loss function" as much as the "user experience."
Model Development: Design and deploy predictive models (classification, regression, and clustering) to optimize flight pricing, ancillary sales, and customer churn.
Experimentation: Design and analyze A/B tests to validate product features and marketing campaigns, ensuring results are statistically sound....
Exploratory analysis: use data to suggest and prove hypotheses
Modeling: build optimization / predictive / statistical models to learn from data and estimate the unknowns - demand and sales forecasting, dynamic pricing for ancillary products, and demand planning
Data operations: query data, deploy models and automate pipelines in cloud...
You will be part of our exciting and rapidly expanding Kuala Lumpur MODS team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil’s Product Solution Business and supply chain/commercial activities
As a key member of the team and depending on your level of experience, you will be the single point of contact to improve business performances, or actively developing new models for integration and supporting our business lines in Product Solutions.
Position is based in Kuala Lumpur and not limited to Malaysian...
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Solution Building: Configure, customize, and build new applications using Palantir Foundry to address specific client needs.
Emphasis on strong communication skills, executive communication, ability to apply hands-on skills to solve real-world business problems, and strategic advisory.
Data Transformation: Wrangling massive datasets, implementing AI/LLM solutions, and driving measurable business outcomes....
You will be part of our exciting and rapidly expanding Kuala Lumpur MODS team working and collaborating on a global scale providing deep technical insights and support to ExxonMobil’s Product Solution Business and supply chain/commercial activities
As a key member of the team and depending on your level of experience, you will be the single point of contact to improve business performances, or actively developing new models for integration and supporting our business lines in Product Solutions.
Position is based in Kuala Lumpur and not limited to Malaysian...
Contribute to the design and implementation of multi-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization.
Work with retrieval-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM-based applications.
Assist in implementing tool-using capabilities, function calling, and agent memory systems.\Software Engineering and Productionalization:...
Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, from concept and design to deployment, operationalisation, and end-of-life management.
Evaluate the maturity, viability, and applicability of emerging AI technologies, research advancements, and industry trends.
Design, develop, and deploy scalable AI and data solutions using cloud-native and microservices-based architectures....