I am working with one of the major energy companies in the Middle-East, aiming to upskill with the introduction a Lead Data Scientist.

My client can offer an unmatched remuneration as well as significant support for accommodation and an entirely tax-free income of course!

As a Lead Data Scientist, you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimise exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry.

Technical Responsibilities

Data Strategy and Management:

• Define and implement data strategies to support exploration, drilling, and production business goals.
• Oversee data collection, cleaning, and integration from diverse sources (e.g., seismic, production logs, IoT sensors, SCADA systems).

Model Development and Deployment:

• Design and implement advanced machine learning models (e.g., predictive maintenance, reservoir simulations, production optimisation).

Technology Leadership:

• Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.

Team Collaboration and Leadership:

• Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.

Tool and Technology Expertise:

• Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis.
• Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).
• Hands-on experience with visualisation tools like Power BI, Tableau, or D3.js.
• Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton's DecisionSpace.