Data Science Analyst

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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.

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Post Date

2025-05-21

Job Type

Employment type

Full-time