Maintain an inventory of priority data assets, business definitions, ownership and data lineage in Collibra or the approved governance platform.
Act as a key contact for master data matters, supporting compliant mass changes, deletion requests, access and role validation, incidents and SOP updates.
Lead OpCo-side data cleansing and readiness activities for DMW, DBB and relevant data migration or transformation programmes.
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Create compelling dashboards using Google Data Studio, and translate complex technical concepts into strategic insights for business partners.
Bachelor’s Degree or Postgraduate qualification in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
2 to 5 years of relevant working experience developing, training, evaluating, and deploying machine learning models in production commercial environments.
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Data Governance & Quality: Implement data quality monitoring frameworks, enforce privacy compliance (PDPA), and maintain data lifecycle policies including retention and archiving.
Cross-Functional Collaboration: Support Business Analytics and Data Science teams by disseminating clean, high-quality datasets and delivering automated downstream reporting extracts.
2 to 5 years of experience in data engineering, custom Python ETL scripting, scalable pipeline orchestration, and cloud infrastructure management.
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Root-Cause Analysis & Problem Solving: Interact directly with stakeholders to resolve data quality issues using techniques like root-cause analysis, continuously improving trust and confidence in our enterprise data products
Platform Ownership: Utilize and manage enterprise data quality and cataloging platforms (e.g., Informatica DQ, Collibra DQ, Ataccama)
Governance Alignment: Support Data Governance teams in deploying observability practices and ensuring compliance with enterprise data quality and fitness standards
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Write, optimize and troubleshoot complex T-SQL queries, stored procedures, views, functions and triggers to support data transformation, loading, and validation logic within MS SQL Server, in line with established coding and naming standards.
Orchestrate and schedule complex data workflows, ensuring timely and reliable data delivery.
Implement and manage monitoring solutions to proactively address and prevent performance issues. Monitor daily job statuses and perform troubleshoot and recovery when necessary.
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You will develop and deploy scalable data science solutions, and measure their impact via experiments.
You will build dashboards to keep monitoring the health of DS systems, and continuously maintain and improve the solutions.
Degree in computer science, computer engineering, statistics, data science, applied mathematics, economics, operations research, or other related computational fields
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Performance & Cost Optimisation: Monitor, troubleshoot, and continuously optimise data workflows to improve performance, resilience, and cost efficiency.
Data Storage & Management: Build, manage, and maintain GIGA’s Data Mart, data lake, and related data storage solutions to support department’s reporting, analytics, and advanced use cases.
Data Modelling & Architecture Collaboration: Develop and maintain data models that support analytics, operational reporting, and decision-making tailored for audit and investigation activities. Collaborate closely with Group IT and Group Digital teams on data architecture decisions to support current and future data requirements.
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Partner with business product owners, technology teams, and senior stakeholders to provide trusted technical advice, influence strategic decisions, and foster adoption of data science solutions across the organisation.
Contribute to the growth of the Data Science community by sharing knowledge, mentoring team members, promoting best practices, and bringing insights from internal and external projects to continuously improve capabilities and business outcomes.
Design, build, and enhance data science and AI products that contribute to a Unified Revenue Growth Management (RGM) Engine, enabling the evolution from centralized insights to AI-powered decision-making and execution.
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Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
Create a weekly report to send to the Info Systems Project Management team to assist them in reviewing incidents to determine what events have occurred that may be operational losses.
Work with Service Center to ensure average turn around time (TAT) is within agreed KPI thresholds.
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