Specialist Digital Emerging Technologies Data Scientist IOT

Job Specific Accountabilities Artificial Intelligence Develop and maintain ADNOC s offshore artificial intelligence strategy for exploration development and production Create and update ADNOC s offshore artificial intelligence guidelines setting minimum requirements for technical departments and projects Collaborate with discipline engineers and subject matter experts to produce adaptable AI systems capable of evolving with additional data Conduct brainstorming sessions and technical workshops to identify opportunities for AI implementation and prioritization Perform market surveys and stay updated on technological advancements in AI and data science relevant to oil gas evaluate topranked technologies Develop scalable tools utilizing deep learning models for applications such as voice recognition natural language processing and time series predictions Gather and generate requirements creating roadmaps for deploying productionlevel AI applications Data Science Model complex problems to extract insights leveraging algorithms statistical models data mining and visualization techniques Recommend improvements to methods and algorithms providing business metrics and monitoring progress over multiple iterations Conduct workshops to educate technical teams on AI principles fostering organizational buyin and multidisciplinary collaboration Design and deploy advanced analytic models lead big data initiatives and coordinate crossfunctional analytics Work with diverse data types sensor data logs images etc to build validate and maintain predictive models Educate both IT and business units on new analytical approaches hypothesis testing and statistical validation Collaborate with technical teams to identify analysis opportunities and appropriate data tools Monitor performance of decision support systems and develop core algorithms Conduct proofofconcept projects share findings and identify opportunities for pilot deployments Design and develop scalable data analytics platforms benchmark and select data technologies Mentor developers and build a data science team within ADNOC Data Preparation Identify relevant internal and external data sources automate data collection processes Support in managing data characteristics such as volume velocity and variety to enhance analytics Capture structured and unstructured data images voice text metering data necessary for oil gas models General Responsibilities Contribute to budget preparation and assist in implementing work plans Investigate variances and support performance and cost control Drive performance objectives aligned with company frameworks Develop tools and techniques for process improvements Seek internal process efficiencies aligned with ISO standards and best practices Supervision Leadership Plan supervise and coordinate activities within the assigned area Train and develop staff to achieve proficiency and meet objectives Budgets Assist in budget planning and monitor performance variances Policies Systems Processes Procedures Implement departmental policies and standards in line with company and international standards Performance Management Support the achievement of departmental performance objectives Innovation Continuous Improvement Develop new tools to enhance operational quality and efficiency Identify and implement process improvements following best practices and ISO standards HSE Sustainability Ensure compliance with HSE policies procedures legislation and sustainability guidelines Reports Contribute to the preparation of MIS and progress reports for management Communications Working Relationships Interact regularly with Vice Presidents Managers and technical experts to identify AI requirements Collaborate with procurement assets drilling production and other divisions Engage with ADNOC HQ units external vendors consultants and service providers for project support and knowledge sharing Qualifications Experience Knowledge Skills Minimum Qualification Bachelor s Degree in Engineering Artificial Intelligence Robotics Petroleum or equivalent Minimum Experience Skills At least 10 years in largescale data science analytics and software development within the oil gas industry Strong knowledge of NLP ML neural networks and AI frameworks TensorFlow PyTorch etc Proficiency in R SQL Python familiarity with Scala Java C C MATLAB is advantageous Experience with business intelligence tools e g Tableau Spotfire Skilled in data mining visualization and handling large datasets Expertise in data preprocessing feature engineering model training classification and regression Handson experience with supervised unsupervised learning algorithms Familiarity with Big Data frameworks like Hadoop and Spark Strong analytical mathematical and statistical skills Excellent communication and presentation skills Proficient in English Professional Certifications International certifications in project management process improvement standardization or technology implementation You will 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