Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
...
Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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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.
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Develop and optimize predictive models (e.g., propensity modeling, churn prevention, Customer Lifetime Value) and machine learning algorithms to enhance readership, subscriptions, ad performance, and content recommendations.
Conduct exploratory data analysis (EDA), perform data extraction and transformation, build custom automation workflows using Python, and maintain automated data pipelines.
Deploy machine learning models server-side into production environments, set up CI/CD pipelines for automated retraining and drift monitoring, and track model performance.
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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
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Own Data Science for a specific-market/industry on new and already established products, services and design.
Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules
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Build and maintain analytical models that generate proactive signals across the People North Star, including flight risk, skill growth, disengagement indicators, and People Team cost-to-serve, enabling the People function to act before issues escalate.
Transform complex, multi-source people datasets into clear, decision-ready narratives for People Operations leaders and senior stakeholders.
Design and measure the impact of data- and science-backed behavioural interventions that shape Grabber behaviours at scale (e.g. embedding meeting-hygiene practices and nudge design grounded in behavioural research).
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Partner with marketing leaders and stakeholders to understand business objectives, marketing channels, data sources, measurement constraints, and strategic priorities.
Translate marketing needs into relevant measurement science solutions, evaluating multiple methodological approaches and communicating trade-offs between attribution models, incrementality testing, and causal inference methods.
Design and implement advanced attribution methodologies (multi-touch, algorithmic, and rule-based models) to accurately measure campaign contribution across paid channels and customer touchpoints.
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You will partner with teams to architect scalable data science solutions that translate complex operational challenges into strategic wins, integrating both traditional ML and agentic LLM systems.
You will conduct cutting-edge research to incorporate the latest advancements in algorithms and generative AI into our defense systems to actively counter emerging fraud tactics.
You will master data orchestration by preparing, augmenting, and combining diverse data types to build high-fidelity training datasets, including using LLMs to generate synthetic data and labels.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
...
Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules
...