Petroleum Data Scientist

il y a 2 semaines


Nice, Provence-Alpes-Côte d'Azur, France Assala Energy Temps plein

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

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