This role will be an integral part PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Descriptions

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree, and deliver on their data analytics requirements.
• Responsible for ideation, design, development, and deployment of data analytics solutions, from descriptive to prescriptive, based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality, and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with the data science and data engineering team at all stages of the CRISP-DM Methodology
• Align to PSA data policy, data governance standards, best practices, and document as required
  
  

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques, and knowledge of statistical methods useful for developing data analytics solutions for a diverse range of use cases.
• Experience in one of the visualization tools, preferably Power BI, and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions, such as business & data understanding, data preparation, model development, visualization, validation, and deployment.
• Experience in developing AI/ML models in supervised, unsupervised, and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering, and /a Master's in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases, and present the data insights.
  
  

Experience

• Candidates with experience as a data analyst or data scientist would be preferred; however, fresh graduates with a strong interest in data analytics and a strong academic background are welcome to apply.