Petroleum Data Scientist

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, 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 Overview

The 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.

Scope of Work & Deliverables

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.

• 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

Profile

• Detail‑oriented, autonomous, and service‑focused
• Strong communication
• Curious, proactive, and collaborative
• Strong problem‑solving mindset and client‑focused approach