Data Analysis (IT role ~ Singaporean Only~) - #1166685

Job Position : Data Analyst (Singaporean only~)

Working Day and Time: Monday To Friday (8.30am-6pm)

Work Type : 1 year Contract Renewable

Salary Package : $4000 to $6000

Location : Ang Mo Kio Office

About the role

The Data Scientist will design, develop and implement cohesive data integration and advanced analytics solutions involving both structured and unstructured data. The role supports mission-critical initiatives, including predictive modelling, forecasting, operations research (optimization), text mining and network analytics, particularly within regulated and public-sector environments.

Key responsibilities

• Apply skills and knowledge in data analysis, analytics, and data science to ensure successful delivery of client engagements and initiatives within the Data and Analytics practice

• Develop and manage the end-to-end lifecycle of analytics projects from requirement gathering, data scoping, modelling to production (model deployment and monitoring)

• Lead or support data requirement and analytics use-case workshops with business and technical stakeholders, translating business needs into clear analytical, data, and success metrics specifications

• Attend and assist in facilitating project meetings and workshops with client stakeholders

• Propose, implement, and validate data science models, ensuring functional and non-functional requirements such as explainability, fairness, scalability, security, integration and operational costs

• Participate actively in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle

• Produce high quality client-ready deliverables and documents with ready-to-use content

• Independently drive assigned modules or workstreams with minimal supervision in a fast-paced project environment

• Prepare user requirements, data development artefacts and technical documentation in accordance with governance and audit requirements

• Contribute to the development of reusable project assets such as templates, analytical frameworks, processes, reports and presentation materials

About you

• Bachelor's or master's degree in Computer Science, Mathematics, Statistics, Business Analytics or equivalent

• At least 2 years' experience in data analytics and data science fields

• Proven experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization

• Proven experience in AWS Sage Maker, Python (e.g., Pandas, NumPy/SciPy, Scikit-Learn, XGBoost, pyspark, etc) and other related tools

• Strong SQL skills with experience working on relational data models and large datasets

• Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD

• Familiar with object-oriented programming concepts and their application to data science pipelines

• Demonstrated ability to engage business stakeholders and lead data or analytics requirement workshops, translating complex business problems into actionable data solutions

• Have Excellent communication skills; both in written and spoken English

• A self-starter with an analytical approach to problem solving, client-centric, outcome driven and quality focused team player