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- Tasks: Drive data initiatives and develop predictive analytics for a leading oil and gas company.
- Company: Assala Energy, a dynamic and diverse Oil and Gas Exploration firm.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and shape the future of data-driven decision-making.
- Qualifications: Master's in Computer Science or related field; experience in data engineering or consulting.
- Other info: Collaborative environment with a focus on safety, integrity, and career advancement.
The predicted salary is between 48000 - 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 prioritise 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, the consultant will provide predictive analytics, data engineering, BI development, and data quality assurance. This is a contract opportunity offered subject to IR35 compliance checks.
Service OverviewThe consultant will:
- Deliver across end-to-end data management systems for BI projects.
- Develop a global understanding of business processes to identify, support, and prioritise BI initiatives.
- Provide technical expertise to our Operations, Finance, Logistics, and other departments.
- Facilitate the organisation's transition toward a data-driven culture and methodology.
- Collaborate with the Data Engineer in developing architecture, processes, and data workflows.
Main Deliverables:
- Propose decision-support analysis solutions in collaboration with business teams.
- Ensure QA/QC of all datasets used for BI, analytics and predictive modelling developments.
- Identify and develop predictive systems to support the industrialisation, production, storage and maintenance of ML models.
- Develop data enrichment pipelines and consolidate databases to ensure reliable data sources for reporting.
- Collaborate with the Data Engineer to design and build the data platform infrastructure, data architecture and ETL processes.
- Design and manage the company's Data Warehouse.
- Create, maintain and develop reports, dashboards, KPIs, monitoring and visualisation tools, mainly using Power BI.
- Deliver BI tools first for Operations and then extend support to other departments upon request and approval.
- Integration of new asset data into existing reports.
- Finance / Cost Control KPI Dashboard.
- Daily Weekly reporting standardisation and improvement.
- Logistics KPI Dashboard (POB, passenger flows, goods movement).
Full scope of work with deliverables and objectives will be made available during a technical validation meeting.
Requirements- Master's degree in Computer Science or equivalent field.
- Experience in data engineering or data science consulting.
- Strong expertise with ETL pipeline development and cloud-based environments (Azure, AWS, Databricks, Snowflake).
- Python (numpy, pandas, scikit-learn), SQL, dimensional modelling, Power BI, Git, CI/CD, VSCode or PyCharm, Data Warehouse design architecture.
- Detail-oriented, autonomous, and service-focused.
- Strong communication.
- Curious, proactive, and collaborative.
- Strong problem-solving mindset and client-focused approach.
Petroleum Data Scientist in England employer: Assala Energy
Contact Detail:
Assala Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Petroleum Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving predictive analytics or BI tools like Power BI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering and analytics. We recommend practising with friends or using mock interview platforms to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Petroleum Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Petroleum Data Scientist role. Highlight your experience in data engineering, predictive analytics, and any relevant projects that showcase your skills in BI development and data quality assurance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with Assala Energy's commitment to a data-driven culture. Don't forget to mention your collaborative spirit!
Showcase Your Technical Skills: Be specific about your technical expertise in tools like Python, SQL, and Power BI. Mention any experience you have with cloud-based environments like Azure or AWS, as these are key for the role. We want to see your skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Good luck!
How to prepare for a job interview at Assala Energy
✨Know Your Data Tools
Make sure you brush up on your knowledge of the tools mentioned in the job description, like Power BI, Python, and SQL. Be ready to discuss how you've used these tools in past projects, and maybe even prepare a few examples of how you tackled data challenges.
✨Understand the Business Context
Since Assala Energy values a collaborative approach, it’s crucial to understand their business processes. Research the oil and gas industry, especially in Gabon, and think about how data-driven initiatives can enhance operations. This will show that you're not just a tech whiz but also someone who understands the bigger picture.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and predictive analytics. Brush up on your ETL pipeline development and cloud environments like Azure or AWS. Practising common interview questions in these areas can help you feel more confident during the interview.
✨Show Your Collaborative Spirit
Assala Energy promotes diversity and teamwork, so be prepared to discuss how you’ve worked with others in the past. Share examples of successful collaborations, especially those that involved cross-departmental efforts. Highlighting your communication skills and proactive approach will resonate well with their values.
