(Global Oil Gas) Finance Data Scientist

Job description

This role required candidate to permanently relocate at Dhahran, Saudi Arabia.

About the Company

This company engages in the exploration, production, transportation, and sale of crude oil and natural gas. It operates through the following segments: Upstream, Downstream, and Corporate. The Upstream segment includes crude oil, natural gas and natural gas liquids exploration, field development, and production. The Downstream segment focuses on refining, logistics, power generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international and domestic customers. The Corporate segment offers supporting services including human resources, finance, and information technology. The company was founded on May 29, 1933 and is headquartered in Dhahran, Saudi Arabia.

Job Summary

We are seeking a seasoned Business System Analyst to serve in the role of Financial Data Scientist to join the Digital Solutions & Data Management Division of the Digital Finance Department. Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management, and the entire suite of digital solutions for the Finance Business line. Digital Implementation Division is responsible for providing program management services for implementation, rollout, and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA), and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with a key focus on Financial Applications functional experience and IT technical background.

The Business System Analyst's primary role is to champion the identification, evaluation, design, coordinate implementation, and facilitate rollout of Artificial Intelligence-centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post-implementation support.


  • Design, develop, and implement AI-powered solutions to automate tasks, improve processes, and support data-driven decisions across Financial Accounting, Treasury, Performance Management, and Investor Relations.
  • Collaborate closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess Finance AI use cases, evaluate options, and support implementation.
  • Develop and manage machine learning models for financial forecasting, fraud detection, risk assessment, and more.
  • Clean, transform, and analyze large datasets from diverse sources to ensure data quality and suitability for modeling.
  • Stay updated on AI and machine learning advancements, identifying potential applications for finance and proposing relevant pilot projects.
  • Effectively communicate technical concepts and findings to both technical and non-technical audiences.
  • Contribute to cross-functional initiatives integrating AI and data science into broader business transformation efforts.
  • Facilitate workshops with users and consultants to document processes and drive transformation.
  • Lead the delivery of key digital initiatives, participating in solution development through projects and programs in collaboration with business and technology teams.
  • Maintain, support, and optimize digital solutions.


  • This role required candidate to permanently relocate at Dhahran, Saudi Arabia.
  • Hold a Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or IT from a recognized program; advanced degree or professional certifications like MBA, CMA, CFA, CPA preferred but not required.
  • Possess 6-8 years of experience in Data Science, Artificial Intelligence, and advanced analytics implementation in financial systems.
  • Expertise in Python programming and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required.
  • Proficiency in UI programming, particularly with React, is required.
  • Desirable skills include leveraging Google Cloud or Azure Cloud for advanced analytics.
  • Demonstrate a thorough understanding of implementing AI systems in Finance, including benefits articulation, technical evaluation, critical success factors, and project risks.
  • Have project experience implementing AI solutions, including analyzing business requirements, evaluating technical options, and supporting execution processes.
  • Preferred ability to engage in hands-on technical solution management.

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