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Information Technology – Data Scientist (Internal Audit)

SpringCube

Full time - Manager

Aerospace, Aviation & Airlines

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

This flag carrier of a Southeast Asian nation is a globally recognized airline celebrated for its premium service, extensive network, and modern fleet.

Job Description

Information Technology – Data Scientist (Internal Audit)

This individual will be responsible for implementing and delivering the Internal Audit (IA) department’s Digital roadmap, focusing on the Central Audit Analytics Platform (CAAP). They will drive IA’s digital vision by leveraging technology, automation, and data analytics to enhance auditors’ efficiency and effectiveness, and gain deeper insights.

Key Responsibilities

  • Architecture and Data Management: Develop architecture and key data pipelines for heterogenous datasets.
  • Ensure solution architecture addresses IA’s objectives and business needs.
  • Design efficient solutions to meet initiative outcomes.
  • Collaborate with technical teams to build secure data pipelines.
  • Data Analysis and Problem Solving: Utilize data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls.
  • Outline data lineage to trace sources of anomalies.
  • Apply quantitative analysis methods for business decisions.
  • Leverage the data team’s expertise to solve critical technical problems.
  • Security and Compliance: Address data risks, including those related to PII (Personally Identifiable Information).
  • Ensure secure data handling throughout the pipeline.
  • Business Decision Support: Work closely with Internal Auditors to analyse large data sets, trends, and results to drive data-driven operational risk decisions.

Requirements

  • Bachelor’s degree in Computer Science or equivalent, with 10+ years of data analytics experience.
  • Proven expertise in data pipeline construction and data lake management.
  • Expertise in handling structured and unstructured data.
  • Strong technical skills in relevant data analytics tools (Python, R etc.) and AWS cloud platform.
  • Excellent communication skills.
  • Leverage of Gen AI to expedite the delivery of the solutions.
  • Passion for delivering value and driving successful outcomes for the organization.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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