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Petroleum Data Scientist

Assala Energy

London

On-site

GBP 45,000 - 75,000

Full time

30+ days ago

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Job summary

Join a dynamic oil and gas exploration firm committed to sustainable development. This exciting role focuses on creating data-driven initiatives to enhance business processes. You will develop predictive systems, collaborate with teams for decision-making, and design data platforms for efficient ETL processes. With a strong emphasis on collaboration, diversity, and integrity, this company offers a unique opportunity to work in a fast-paced environment. If you are detail-oriented, proactive, and passionate about data engineering, this contract opportunity could be the perfect fit for you.

Qualifications

  • Master's degree in Computer Science or equivalent required.
  • 2-3 years in data engineering or data science consulting experience.

Responsibilities

  • Develop predictive systems for machine learning models.
  • Collaborate with business teams for decision-support analysis.

Skills

Python
ETL Pipeline Development
Cloud Platforms (Azure, AWS, DataBricks, Snowflake)
SQL
Power BI
Git
CI/CD
VSCode/PyCharm

Education

Master's degree in Computer Science

Tools

Azure
AWS
DataBricks
Snowflake
Power BI
Git

Job description

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, you will work on the following main deliverables :

  • Provide services in developing predictive systems that aid in the industrialization, production, storage, and maintenance of machine learning models.
  • Offer decision-support analysis solutions in close collaboration with business teams, ensuring data insights inform key decisions.
  • Work alongside the Data Engineering Consultant to design and implement the data platform's infrastructure and data architecture for efficient data extraction, transformation, and loading (ETL).
Full scope of work with deliverables and objectives will be made available during a technical validation meeting.

This is a contract opportunity offered subject to IR35 compliance checks.


Requirements
  • Master's degree in Computer Science or equivalent.
  • 2-3 years in data engineering or data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake).
  • Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm.
  • Proficiency in English and French is a strong advantage
  • Detail-oriented, autonomous, and communicative with a strong service focus. Proactive learner with a curiosity for problem-solving and a client-centered approach.
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