Petroleum Data Scientist

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.
• 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.

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