Energy Industry Staff and Consultant Search

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Results for Data Analytics/AI/ML Energy Industry Staff
Your query matches 8 Jobseekers currently looking for Energy Industry Jobs.
Candidate Id: 96091 Profession: Data Analytics/AI/ML
Current Status: Contractor\Self Employed Preferred Status: Permanent or contract
Energy Industry Years: 40 Preferred Salary: 140-160K GBP (900-1000 USD/day)
Availability: Preferred Title:
Profile: I have led reservoir engineering software for many years, and have also applied machine learning techniques.

Candidate Id: 2388 Profession: Data Analytics/AI/ML
Current Status: Contractor\Self Employed Preferred Status: Permanent
Energy Industry Years: 28 Preferred Salary: 90-100K GBP (600-700 GBP/day)
Availability: 1 Month Preferred Title: Data Management Specialist
Skills 2D3DPAK, 3D Analyst, Africa, ArcGIS, ArcIMS, ARC-INFO, ARCVIEW, Asia, BCM2D, BCM3D, ESRI, Europe, French, Kingdom, , Kingdom Suite, Middle East, Norway, OpenWorks, , Oracle, PESGB, Petrel, Sales & Business Development, SDE, Shell Scripts, Spatial Analyst, Studio
Keywords: Certified Landmark R5000 Upgrade Consultant, certified Landmark applications trainer, seismic data management, well data management, data loading, OpenWorks, SeisWorks, GeoProbe, DecisionSpace Desktop, Petrel, Studio, OpenSpirit, Petrosys, RoQC Tools, Kingdom, ESRI, ArcGIS and mapping. Microsoft Power Platform, Power BI, Power Apps, Power Automate, Power Virtual Agents, Power Pages, Dataverse, SQL, SharePoint, Dataflows, Solutions, Application Lifecycle Management, Agile, Azure DevOps, Productivity Coach, UI/UX, design, accessibility.
Profile: An Independent Consultant with 28 years experience in the upstream Oil and Gas industry, specialising in the provision of E&P data management, GIS and application training services. Subject Matter Expert in Landmark R5000 data management and project upgrades. Certified R5000 consultant & certified Landmark Trainer. Petrel/Studio Data Management experience. OpenWorks to Petrel Data Migration experience. Power Platform Specialist.

Candidate Id: 91736 Profession: Data Analytics/AI/ML
Current Status: Student Preferred Status: Permanent or contract
Energy Industry Years: 2 Preferred Salary: 25-30K GBP (200-250 GBP/day)
Availability: Preferred Title:
Skills BHA Analysis, Documentum, Petrel, , Wellplan
Profile: Junior Data Analyst with 2 years’ experience looking for an opportunity in the field of Data Analytics in Business & Operations sector as an entry level graduate data analyst in any industry in the UK. Willing to relocate to anywhere.

Candidate Id: 94650 Profession: Data Analytics/AI/ML
Current Status: Employed Preferred Status: Permanent
Energy Industry Years: 0 Preferred Salary:
Availability: Preferred Title:
Profile: I am a Power BI developer having been on many projects whilst working in a consultancies throughout my career. Each project has developed my skills greatly to the point where I now have extensive knowledge of end to end data transformations, from taking data from source, storing it in databases, making transformations, modeling the data efficiently and finally building user friendly reports with great capabilities. I am Microsoft certified at a Power BI associate level having passed the PL300 exam to prove my knowledge of Power Query, DAX language, reporting best practices and other areas of the Microsoft Analytics stack. I am analytically minded having picked up all these skills quickly, as I studied computer science at university followed by a masters in business management to help me apply my technical skills in the best way for the task, keeping in mind stakeholders and business efficiency.

Candidate Id: 57167 Profession: Data Analytics/AI/ML
Current Status: Employed Preferred Status: Permanent or contract
Energy Industry Years: 20 Preferred Salary: 140-160K GBP (1000-1100 GBP/day)
Availability: Immediate Preferred Title: Reservoir Engineer, data scientist
Keywords: AI, ML, Machine Learning, Data Scientist, cloud, Azure, AWS, Digital, Upstream, reservoir engineer, simulation, modelling, development plan, optimisation, history matching, uncertainty analysis, EOR, IOR, economic analysis, data scientist, programmer, c++, python, machine learning
Profile: PhD(Petroleum Engineering;)- A petroleum reservoir engineer, data scientist, researcher and programmer with 20 years experience in a diverse range of projects and assets in upstream Oil and Gas industry, including onshore and offshore, sandstone and fractured carbonate, green and mature fields, with world class reservoir modelling, simulation, and management specialist skill set coupled with strong computer and data science, mathematics and algorithms, statistics and probabilistic, programming and software development, economic and risk analysis, and project management and leadership skills. He possesses a solid track record of delivering innovative solutions in reservoir simulation and management including characterisation, modelling, history matching, production forecasting and performance prediction, uncertainty quantification, and development planning and optimisation. He has exceptional academic records and strong applied R&D accomplishments and has written more than a dozen of prestigious journal and conference publications.

Candidate Id: 12114 Profession: Data Analytics/AI/ML
Current Status: Employed Preferred Status: Permanent
Energy Industry Years: 10 Preferred Salary: 20-25K USD
Availability: 1 Month Preferred Title: IT Manager
Skills Active Server Pages, Java, MySQL, PHP, RDBMS, VBScript
Keywords: system, analyst, people analytic, talent management, data scientist, occupational health and safety
Profile: A dynamic, hands-on and detail-oriented analyst with over 3 years in the industry. Experienced in agile environment, project management, machine learning approach, cloud based service, feature life-cycle development, technical writing and code documentation. Love programming, data and statistic. Applied prediction modeling since college (as the major was geophysical engineering). A fast-learner who also an AI and ML aspirant (with a little obsession to Natural Language Processing).

Candidate Id: 93279 Profession: Data Analytics/AI/ML
Current Status: Preferred Status: Permanent or contract
Energy Industry Years: 0 Preferred Salary: 25-30K GBP (200-250 GBP/day)
Availability: Preferred Title:
Profile: I am a process-oriented Data Analyst with commendable knowledge and experience in data interpretation and its impact on business development. I have extensively utilised business analytics and business intelligence technologies to evaluate performance, create cost-effective solutions, and oversee effective solutions leading to business growth in various industries, including the engineering, healthcare and technology sectors. Hence, I want to express my interest in working in your Organisation. I have consistently demonstrated expertise in performing high-level data analysis and interpretation, while leveraging a variety of skill sets that I have developed from my academic, professional, and volunteer experience. My transition into Data Science is motivated by my desire to support business profitability and sustainability by utilising accurate data to make critical business decisions. In addition, I started a master’s program in Data Science at Ulster University, which has given me the opportunity to learn about big data & infrastructure, data modeling, data validation and data visualisation from theoretical and practical standpoints. As a result, I am confident that I have acquired relevant business intelligence skills to contribute to building and scaling sustainable businesses at different levels. In my previous job roles, I have been known to deploy analytics to improve results, manage risks, and prevent work-related errors through my proficiency with Microsoft Power BI tool, a data visualisation and intelligence tool that transforms data into interactive dashboards and BI report. Additionally, I have reduced operational risks by 20% by structuring and streamlining redundant everyday operations, conducting scenario analysis, and optimising operational resources Furthermore, I implemented a new delivery process and drastically shortened the waiting period required to analyse waste collection and management data in a waste recycling and social benefit initiative in Nigeria. In my current role as the IT Admin/Analyst in an integrated medical sector, I conduct analyses and use quantitative data to gain insight of client behaviours and demographics; provide solutions to technical problems and unforeseen downtime issues; and manage database systems. I understand that your organisation aims providing reliable and affordable energy to support human progress while implementing and advancing effective solutions to mitigate environmental risks. I am confident that I am a suitable candidate for this role. Therefore, I am invested in improving workflow processes and providing innovative solutions to challenges. As a meticulous individual with a passion for excellence, my demonstrated skills in leadership, strategy support, team management and operations will make me have a significant impact in [insert name of company]. With a proven track record of coordinating successful projects, alongside my innate abilities to inspire effective results, I am well-positioned to exceed your expectations and have a significant impact on the company.

Candidate Id: 91743 Profession: Data Analytics/AI/ML
Current Status: Preferred Status: Permanent
Energy Industry Years: 0.5 Preferred Salary: 40-45K GBP (200-250 GBP/day)
Availability: Preferred Title:
Profile: I worked as BI Lead for a Pharmaceutical client US (Speciality Drug). I developed and built interactive dashboards and reports for the client to help them in their analysis. Used Tableau and Power BI tools to develop the dashboards. I also handled the Role Level Security (RLS) and Server activities for this project Used Python for automation in this project and did admin and upgrade activities for the BI tools I also worked as a Consultant for more than 2 years in Strategy & Analytics team where I worked on 3 projects. The main technologies that I used were Informatica MDM (Master Data Management), Informatica ActiveVOS, and SQL. The main aim of these projects was to Master the data centrally and enable other applications to use this clean data. I applied match and merge rules in the implementation. Built E360 web application using Provisioning Tool. I have also worked as an Informatica MDM developer ETL developer for 3 years. I love playing with Data. Giving Data meaning is my passion. I am certified in Tableau Fundamentals, Data Analyst using Power BI, and Python(Intermediate, Pandas, Matplotlib, Seaborn, Lambda Functions, Importing and Cleaning Data in Python) and used SQL in my previous projects proficiently.

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