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- Tasks: Develop predictive systems and support data-driven decision-making in oil and gas.
- Company: Join Assala Energy, a forward-thinking company focused on sustainable oil and gas development in Gabon.
- Benefits: Enjoy a collaborative work environment that values diversity and prioritizes safety.
- Why this job: Be part of a team transforming business processes with cutting-edge data solutions.
- Qualifications: Master's degree in Computer Science and 2-3 years in data engineering or consulting required.
- Other info: This is a contract role subject to IR35 compliance checks.
The predicted salary is between 43200 - 72000 £ per year.
Assala Energy is a dynamic Oil and Gas Exploration and Production company committed to the sustainable development of its assets in Gabon. We value a collaborative approach, promote diversity, and prioritize safety and integrity in all our operations.
To support the creation and development of data-driven initiatives and facilitate the transition of business processes toward a “Data-Driven” methodology, you will work on the following main deliverables:
- Provide services in developing predictive systems that aid in the industrialization, production, storage, and maintenance of machine learning models.
- Offer decision-support analysis solutions in close collaboration with business teams, ensuring data insights inform key decisions.
- Work alongside the Data Engineering Consultant to design and implement the data platform’s infrastructure and data architecture for efficient data extraction, transformation, and loading (ETL).
Full scope of work with deliverables and objectives will be made available during a technical validation meeting.
This is a contract opportunity offered subject to IR35 compliance checks.
Requirements
- Master’s degree in Computer Science or equivalent.
- 2-3 years in data engineering or data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake).
- Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm.
- Proficiency in English and French is a strong advantage.
- Detail-oriented, autonomous, and communicative with a strong service focus. Proactive learner with a curiosity for problem-solving and a client-centered approach.
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Petroleum Data Scientist employer: oilandgas.org.uk
Contact Detail:
oilandgas.org.uk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Petroleum Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Azure, AWS, and DataBricks. Having hands-on experience or projects showcasing your skills in these platforms can set you apart from other candidates.
✨Tip Number 2
Highlight any collaborative projects you've worked on, especially those that involved cross-functional teams. Assala Energy values a collaborative approach, so demonstrating your ability to work well with others will be crucial.
✨Tip Number 3
Prepare to discuss your experience with predictive systems and machine learning models during the interview. Be ready to share specific examples of how your work has contributed to data-driven decision-making in previous roles.
✨Tip Number 4
Since proficiency in both English and French is a strong advantage, practice discussing your technical expertise in both languages. This will not only showcase your language skills but also demonstrate your adaptability in a diverse work environment.
We think you need these skills to ace Petroleum Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Petroleum Data Scientist position at Assala Energy. Understand the key deliverables and required skills, especially in data engineering and machine learning.
Tailor Your CV: Customize your CV to highlight relevant experience in data science and engineering. Emphasize your proficiency in Python, SQL, and cloud-based environments like Azure or AWS, as well as any experience with ETL pipeline development.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven initiatives and your collaborative approach. Mention specific projects where you successfully implemented predictive systems or decision-support analysis solutions.
Highlight Language Proficiency: If you are proficient in both English and French, make sure to highlight this in your application. This is a strong advantage for the role and can set you apart from other candidates.
How to prepare for a job interview at oilandgas.org.uk
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL pipeline development and cloud environments like Azure or AWS. Highlight specific projects where you utilized Python libraries such as numpy, pandas, and scikit-learn.
✨Demonstrate Collaborative Spirit
Assala Energy values collaboration, so be ready to share examples of how you've worked effectively in teams. Discuss how you’ve partnered with business teams to ensure data insights drive decisions.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you faced challenges in data engineering or data science and how you approached them with a client-centered mindset.
✨Highlight Your Language Proficiency
If you speak French, make sure to mention it! Being proficient in both English and French is a strong advantage for this role, so be ready to demonstrate your language skills during the interview.
