Specialist contract support
3 weeks ago
The company where energy is the opportunity
Our client occupies a unique position in the global energy industry. They are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.
With significant investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world and commit to enhancing value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, our client combines market discipline with a generations-spanning view of the future, born of our nine decades of experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to many communities, economies, and countries that rely on the vital and reliable energy we supply.
This company is one of the most profitable in the world and amongst the top five global companies by market capitalization.
We are seeking an Artificial Intelligence Specialist to join our Global Manufacturing Excellence Digitalization and Technology Management (D&TM).
The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain. The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under downstream business line within for Digital transformation, Artificial Intelligence technologies and data science.
Your primary role will be to work closely with business functions, stakeholders, functional teams to give consultations on AI/ML use case, identify potential value from data, formulate AI and data science ideas and conceptualize them. This role will play a pivotal role in helping our organization to make data-driven decisions and to solve complex problems.
Bachelors/ Master’s degree in Engineering, Data science from a premier institute.
~+5 years of experience in building data analytics-based products in industrial context, preferably in petroleum refineries.
~ Identify business problems that can be addressed through data analysis and develop data-driven solutions (Engineering/Operational problems, computer vision-based products).
~ Exceptional analytical and Problem-solving skills, with the ability to derive insights and opportunities from data are required.
~ Understanding of the Oil & gas downstream domain to apply data science effectively is essential.
~ Experience in developing AI/ML based Digital twins of industrial process/equipment’s.
~ Expertise in Python for data manipulation, analysis, and modeling. and in communicating data science topics to non-technical audience.
~ Basic project management skills to plan, execute, and deliver data science projects on time and within scope is preferred.
Collaborate with cross-functional teams, including engineers and domain experts, to drive data-driven improvements.
Gather and preprocess data from various industrial sources, such as sensors, DCS systems, and manufacturing equipment’s.
Analyze data to identify opportunities for process optimization, energy efficiency improvements, and cost reduction.
Implement anomaly detection algorithms to identify abnormal patterns in industrial processes and equipment.
Bring innovative ideas to apply image, video and audio analytics to reduce manual efforts like visual inspection/field monitoring of industrial plants.
Deploy machine learning models into production systems for real-time monitoring and decision-making.
Maintain documentation for data analysis processes, models, and findings.
Ensure that data practices adhere to industry regulations and data privacy standards.
Monitor and evaluate model performance and make necessary adjustments to maintain accuracy and reliability.
Employment Tax – if employee chooses to separate themselves from their ‘home country’ for income tax purposes, most will not be required to pay ‘home country’ income taxes; Please check with your tax advisor for specifics relating to you
based on performance, approx. Vacation & Paid Holidays – 38 vacation days / 4 travel days / 11-13 paid holidays
Medical/Dental Plan – complimentary in-Kingdom Johns Hopkins medical care/facilities for employee and eligible family members. In-Kingdom dental services subsidized
Educational Assistance Plan (EAP) – Out of Kingdom Assistance: 90% of expenses with a maximum per child, lesser of 5x monthly base salary or the company max ($48.undergraduate college-age children get 2 round-trip economy air travel tickets; Single/Bachelor Status – 60% of monthly base salary
Stages of our Hiring Process
If your resume evaluation is suitable for this position, the recruitment team will invite you to a preliminary phone/video interview in 2-3 days.
Interviews Stage:
1 LHR Americas preliminary phone/video interview: Furthermore, your English level will be evaluated at this stage, ONLY native or advanced speakers will approve this evaluation.
If this preliminary phone/video interview is successful, your resume will be submitted to our client.
If your preliminary phone/video interview is not successful, our Talent Acquisition consultant will inform you.
If your resume is approved a member of the Talent Acquisition Team will get back to you and schedule a face-to-face meeting in a defined location. The client interview contains technical questions that help assess your familiarity with problem-solving in your given field and may include a behavioral evaluation. 3 There could be additional video interviews with hiring managers, which may also contain technical questions that help us assess your familiarity with problem-solving in your given field.
Conditions for employment include but are not limited to medical examinations, and permission to secure a visa to work and reside in-country.
Relocation Process:
After your offer is accepted and all conditions for employment are met, you will be assigned a relocation advisor from LHR Americas. This advisor will be your go-to resource for your job transition, providing valuable advice on visa logistics, notice periods, medical requirements, and more.
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