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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 exploration in Gabon.
- Benefits: Enjoy a collaborative work environment with a focus on diversity and safety.
- Why this job: Be part of a transformative journey towards data-driven methodologies in a dynamic industry.
- 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: Energy Job Search
Contact Detail:
Energy Job Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Petroleum Data Scientist
✨Tip Number 1
Familiarise 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 during discussions.
✨Tip Number 2
Network with professionals in the oil and gas industry, especially those working in data science roles. Attend relevant meetups or webinars to gain insights and potentially get referrals that could help you land an interview.
✨Tip Number 3
Prepare to discuss real-world applications of your data science skills, particularly in predictive systems and decision-support analysis. Be ready to share examples of how your work has positively impacted business processes in previous roles.
✨Tip Number 4
Brush up on your communication skills, especially in both English and French. Being able to articulate complex data insights clearly and effectively will be crucial in collaborating with business teams and stakeholders.
We think you need these skills to ace Petroleum Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Petroleum Data Scientist position at Assala Energy. Familiarise yourself with the key deliverables mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering or data science consulting. Emphasise your skills in ETL pipeline development, cloud environments, and programming languages like Python and SQL, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven methodologies and your ability to collaborate with business teams. Mention specific projects or experiences that demonstrate your problem-solving skills and service focus.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Energy Job Search
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and ETL processes during the interview. Be prepared to discuss specific projects where you've successfully implemented these skills, as this will demonstrate your technical proficiency to the interviewers.
✨Understand the Company’s Values
Assala Energy values collaboration, diversity, safety, and integrity. Familiarise yourself with these principles and think of examples from your past experiences that align with them. This will show that you are a good cultural fit for the company.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in data-driven scenarios. Practice articulating your thought process clearly, as this will help interviewers understand how you approach challenges and develop solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company's data initiatives. This not only shows your interest in the position but also gives you a chance to gauge if the company aligns with your career goals and values.