Energy Industry Staff and Consultant Search

Looking for Energy Industry Staff? Use the Working Smart Energy Industry Staff Search and view summaries of our registered, actively seeking, jobseekers from 186 countries around the world for FREE.
The first 10 jobseekers, which meet your criteria, will be displayed in the results below. If you login, or register, as an energy industry employer then you will be able to see the first 100 jobseekers' summaries. If you are interested in any of the jobseekers then please contact us by email or register as an Energy Industry Employer.
Profession *
All Skills Any Skills
Status *
Eligible to Work In
Area of Expertise
Industry Years to
Mentoring and Coaching
Sort By
Results for Data Analytics/AI/ML Energy Industry Consultants
Your query matches 6 Jobseekers currently looking for Energy Industry Jobs.
Candidate Id: 96307 Profession: Data Analytics/AI/ML
Current Status: Employed Preferred Status: Permanent or contract
Energy Industry Years: 1 Preferred Salary: 25-30K GBP (100-150 GBP/day)
Availability: Preferred Title:
Skills AutoCad, Excel, MS PowerPoint, R - Statistical Programming Language, SPSS
Keywords: Data Analyst, Data Scientist, Data Engineer and BI Analyst
Profile: Experienced and scientifically rigorous Data Analyst with a strong background in Python, R, SQL, and Power BI. Holding an MSc in Data Analytics for Business Intelligence from the University of Leicester, I am deeply passionate about solving data-driven challenges. Highly organized, detail-oriented, and capable of handling multiple projects. Effective communicator, translating business needs into technical requirements. My unwavering attention to detail and dedication to excellence position me as a valuable asset to any team.

Candidate Id: 91849 Profession: Data Analytics/AI/ML
Current Status: Contractor\Self Employed Preferred Status: Permanent or contract
Energy Industry Years: 21 Preferred Salary:
Availability: Preferred Title:
Skills Excel, Python, SQL, R (programming)
Profile: Significant experienced in the energy industry with demonstrated proficiency using EXCEL, Python, R and SQL. Experience with data cleaning, data wrangling, and data processing to gain insights and to make predictions. Currently studying a Masters in Analytics. Bilingual in English and Spanish

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 (100-150 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: 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: 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: 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.

Home | Privacy Policy | Cookie Policy | Acceptable Use Policy | Terms of Website Policy | Contact Us | Site Map | Copyright © Working Smart Limited 1996-2024