I am working with an industry-leading organisation on building AI platform to be used by the biggest energy company in the in the Middle-East. They are upskilling their team with a Lead Data Scientist, with responsibility to lead, hire and define strategy on this program.

My client can offer an unmatched remuneration as well as significant support for accommodation, as well as 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).

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.