Petroleum Data Scientist

TN United Kingdom; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

An innovative company in the Oil and Gas sector is seeking a skilled Data Engineer to drive data-driven initiatives. In this role, you will develop predictive systems and collaborate closely with business teams to ensure data insights inform key decisions. You'll also work with the Data Engineering Consultant to design and implement a robust data platform infrastructure. This contract opportunity emphasizes a commitment to sustainability and integrity, offering a collaborative and diverse work environment. If you're passionate about data and eager to contribute to transformative projects, this role is perfect for you.

Qualifications

• 2-3 years in data engineering or data science consulting.
• Strong ETL pipeline development experience.

Responsibilities

• Develop predictive systems for industrialization and maintenance of ML models.
• Collaborate with business teams for decision-support analysis solutions.

Skills

Python

ETL Pipeline Development

SQL

Data Engineering

Cloud Environments (Azure, AWS)

Power BI

Git

CI/CD

Communication Skills

Education

Master's Degree in Computer Science

Tools

DataBricks

Snowflake

VSCode

PyCharm

Job description

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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.