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For Companies At a Glance
- Tasks: Drive data-driven initiatives and develop predictive analytics for the oil and gas sector.
- Company: Join Assala Energy, a forward-thinking company committed to sustainability and collaboration.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in a dynamic industry while shaping a data-driven culture.
- Qualifications: Master's degree in Computer Science and experience in data engineering or consulting.
- Other info: Exciting projects with excellent career advancement potential in a diverse environment.
The predicted salary is between 36000 - 60000 ÂŁ 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.
For UK based: 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.
- 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.
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.
- Experience with ETL pipeline development is a plus.
- 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 London employer: Assala Energy
Contact Detail:
Assala Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Petroleum Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the oil and gas sector, especially those working with data. Attend industry events or webinars, and don’t be shy to slide into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨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. We recommend sharing this on your LinkedIn profile or personal website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with ETL pipelines, Python, and SQL. We suggest doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t forget to tailor your application to highlight your data-driven mindset and collaborative spirit!
We think you need these skills to ace Petroleum Data Scientist in London
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 sure to list your technical skills clearly, especially those related to Python, SQL, and Power BI. If you've worked with cloud-based environments like Azure or AWS, make that stand out – it's what we’re looking for!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Assala Energy
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Power BI, Python, and SQL. Brush up on your ETL pipeline knowledge and be ready to discuss how you've used these tools in past projects.
✨Understand the Business Context
Familiarise yourself with Assala Energy's operations and how data-driven initiatives can impact their business processes. Be prepared to share examples of how you've supported similar transitions in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering or analytics and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Emphasise Collaboration
Since Assala values a collaborative approach, think of examples where you’ve worked successfully in teams. Highlight your communication skills and how you’ve facilitated teamwork in data projects.
