Responsibilities

Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.
Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation
Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.
Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.
Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
municate technical concepts and findings effectively to both technical and non-technical audiences.
Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.
Organize and facilitate workshops with different users and consultants to document processes and drive transformation
Lead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions

Minimum Requirements

As the successful candidate you will hold a Bachelor’s degree in Engineering,puter Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree ( MBA) and/or relevant professional certification ( CMA, CFA, CPA) is preferred but not required.

You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.

You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.

You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and rmend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred. 

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energypany, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge andpetencies through our workforce development programs – one of the largest in the world.