Data Scientist

About

Description

A senior specialist role to apply advanced analytical, modelling, and technical expertise to analyse complex datasets, transforming data into meaningful insights that inform decision-making within the Finance Programme Management Office (FPMO). The Data Scientist will lead the development of the Finance Business Unit's data strategy, drive end-to-end data science projects, and ensure they are delivered within scope, on time, and on budget to optimise performance and drive continuous improvement.

Responsibilities

• Lead the development and execution of the Finance Business Unit’s data strategy
• Drive end-to-end data science initiatives, from problem definition to value delivery
• Design, develop, and deploy advanced analytical and machine learning models
• Analyse complex datasets to generate actionable insights for decision-making
• Apply deep knowledge of financial systems (SAP, Oracle) and support system integrations
• Communicate insights effectively to technical and non-technical stakeholders
• Mentor junior data scientists and analysts
• Plan, monitor, and manage data science projects (scope, timelines, risks, budget)

Qualifications

• Education:
• BCom Degree or equivalent, PM Diploma in Computer Science, Statistics, Mathematics, or Data Science
• PEMBOK/PRINCE 2/ Waterfall/ Agile PM qualification
• Experience: 3-5 years of experience in data science, with proficiency in core skills and experience leading small to medium projects; A strong project portfolio and relevant certifications can offset experience
• Technical Knowledge & Skills:
• Mathematics & Statistics, Programming (Python, SQL), Machine Learning, Data Wrangling, and Data Visualisation (Tableau, Power BI)
• Financial Systems: Strong knowledge of core financial systems like SAP and Oracle, including their data structures and workflows
• Systems Integration: Knowledge of integrating financial systems with other platforms (CRM, CaseWare, SAP BPC)
• Attitude & Competencies: Results-oriented, strong stakeholder engagement, excellent communication and data storytelling, collaborative, adaptable, and innovative

Application instructions:

• Use the Reference Number: RAN260130-3.
• The closing date is 2026/02/12.