Petroleum Data Scientist
il y a 6 heures
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.
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
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