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- Tasks: Analyse data for the Oil & Gas industry, focusing on AI-assisted seismic detection.
- Company: Join a leading firm in the Oil & Gas sector, driving innovation in exploration.
- Benefits: Enjoy remote work flexibility and potential travel opportunities to the USA or Poland.
- Why this job: Be part of a dynamic team, leveraging cutting-edge technology to make impactful discoveries.
- Qualifications: 5+ years in quantitative interpretations; experience with ML/AI is essential.
- Other info: Work standard hours within EU time zones and collaborate with teams across the globe.
The predicted salary is between 48000 - 72000 £ per year.
Data Analyst – 12 months contract – Remote
Outside of IR35
Looking for a contractor with a background in the Oil & Gas Industry, specifically in Exploration or Geophysics, involving quantitative interpretations for Exportation or Development.
Experience working with Machine Learning and AI is required. The role involves collaborating with Exploration/Development teams to run AI-assisted seismic fluid/reservoir detection and integrating these results into analysis.
Requirements for the Data Analyst:
- Minimum of 5 years’ experience in Quantitative Interpretations for Exploration or Development.
- Preference for experience with IOC / NOC companies.
- Experience in ML/AI applications.
Potential travel to the USA or Poland may be required.
The Data Analyst will participate in team meetings with the USA office. Standard work hours are 8 hours per day, Monday to Friday, with an expectation to work within EU time zones.
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Data Analyst employer: NES Fircroft
Contact Detail:
NES Fircroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Make sure to highlight your experience in the Oil & Gas industry, especially in Exploration or Geophysics. Tailor your discussions to showcase specific projects where you've applied quantitative interpretations, as this will resonate with the hiring team.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in Machine Learning and AI, particularly as they relate to seismic fluid/reservoir detection. Being able to discuss recent advancements or case studies can set you apart during interviews.
✨Tip Number 3
Network with professionals in the Oil & Gas sector, especially those who have worked with IOC/NOC companies. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Be prepared for potential travel by researching the USA and Poland's business cultures. Showing that you're adaptable and willing to collaborate with international teams can demonstrate your commitment to the role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the Oil & Gas industry, particularly in Exploration or Geophysics. Emphasise your quantitative interpretation skills and any relevant projects you've worked on.
Showcase Machine Learning Experience: Clearly outline your experience with Machine Learning and AI applications. Include specific examples of how you've used these technologies in your previous roles, especially in relation to seismic fluid/reservoir detection.
Write a Compelling Cover Letter: Craft a cover letter that connects your background to the job requirements. Discuss your experience with IOC/NOC companies and your ability to collaborate with teams across different time zones, highlighting your adaptability.
Prepare for Team Collaboration: Mention your willingness to participate in team meetings with the USA office. Highlight any previous experience working remotely with international teams, showcasing your communication skills and flexibility.
How to prepare for a job interview at NES Fircroft
✨Showcase Your Industry Knowledge
Make sure to highlight your experience in the Oil & Gas industry, particularly in Exploration or Geophysics. Be prepared to discuss specific projects where you applied quantitative interpretations and how they contributed to successful outcomes.
✨Demonstrate Your Technical Skills
Since the role requires experience with Machine Learning and AI, be ready to talk about your hands-on experience with these technologies. Prepare examples of how you've used ML/AI in past projects, especially in seismic fluid/reservoir detection.
✨Prepare for Team Collaboration Questions
As the role involves collaborating with teams, think of examples that showcase your teamwork skills. Be ready to discuss how you’ve worked with cross-functional teams, particularly in remote settings, and how you handle communication across different time zones.
✨Be Ready for Travel Discussions
Since potential travel to the USA or Poland may be required, be prepared to discuss your flexibility regarding travel. It’s a good idea to express your willingness to engage with international teams and how you can manage work-life balance during such trips.
