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