Petroleum Data Scientist

-; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative firm in the Oil and Gas sector is seeking a Data Engineer to spearhead data-driven initiatives. This role emphasizes collaboration and the development of predictive systems to enhance operational efficiency. You will work closely with business teams, ensuring that data insights drive strategic decisions. The position requires a Master's degree and experience in data engineering, particularly with ETL pipelines and cloud environments. Join a team that values diversity and integrity while making a tangible impact in the industry.

Qualifications

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

Responsibilities

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

Skills

Python

ETL Pipeline Development

SQL

Cloud Environments (Azure, AWS)

DataBricks

Snowflake

Power BI

Git

CI/CD

VSCode/PyCharm

Education

Master's Degree in Computer Science

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.