We are seeking a Senior/Data Scientist with hands-on experience on the AWS platform to build and operate production machine learning. The immediate priority is our real-time hyper-personalization engine - a contextual multi-armed bandit built on Amazon SageMaker AI - and the role extends beyond it to generative AI and broader data science projects across the Group.
Responsibilities:
Contextual Bandit Personalization on AWS (Flagship Project)...
Design and implement quantitative analytical AI Agent and frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
Adopt best practices in data science, platforms and approaches.
Establish internal organization standards and benchmarks....
Design and implement quantitative analytical AI Agent and frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement.
Adopt best practices in data science, platforms and approaches.
Establish internal organization standards and benchmarks....
Production Model Monitoring & Remediation: Monitor and sustain production AI model performance, investigate deviations, and implement corrective actions.
Use Case Exploration & Prototyping: Explore and assess feasibility, and prototype new AI use cases aligned with business needs and KPIs.
Data Pipeline Enhancement: Enhance data pipelines and preprocessing to improve data quality, robustness, and repeatability....
Collaborate with product owners, data engineers, and partners across all product development stages - from concept and design to prototyping, testing, data curation, deployment, industry scaling, and end-of-life.
Collect, process, and analyse large data sets from various sources.
Design, build, and validate machine learning models and statistical algorithms....
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...
We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The successful candidate will work closely with cross-functional teams to analyze large datasets, build predictive models, and deliver actionable insights to improve operational efficiency and business performance.
Develop and validate models using operational sensor data for failure prediction, asset(mechanical and electrical equipment) degradation monitoring, early-warning detection, remaining useful life estimation, and time-to-threshold forecasting.
Apply and compare survival analysis, time-series forecasting, anomaly detection, change-point detection, and representation learning techniques.
Select modelling approaches using measurable performance criteria and documented experimental results....
Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems.
Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
Generate innovative ideas, establish new research directions, and shape and execute on technical projects....
Deployment & Scaling Exposure: Contribute to and gain exposure to model deployment and scaling efforts across multiple processes and sites.
The AI/Data Science Intern will support both (1) sustenance and continuous improvement of existing production AI applications and (2) development of new AI use cases across multiple problem types (e.g., computer vision, predictive modeling, anomaly detection, optimization, and GenAI where applicable).