Data Scientist Consultant; Category – Senior Engineer

Data Scientist Consultant (Category – Senior Engineer)

Sector:
Oil and Gas

Department:
Digital Transformation

Reporting To:
Head of Digital Intelligence

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics. By applying machine learning and statistical rigor to complex business challenges, this role identifies key opportunities to optimize safety, efficiency, and overall performance.

• Identify and support analytics and AI use cases aligned with business and conceptualization priorities.
• Engage stakeholders to gather requirements and translate business needs into analytical problem statements.
• Perform exploratory data analysis, statistical modelling, and predictive analytics on structured and unstructured datasets.
• Develop machine learning models and analytical solutions to support forecasting, optimization, and anomaly detection.
• Design dashboards and performance reporting frameworks to support decision-making.
• Conduct impact analysis, ROI estimation, and value tracking for analytics initiatives.
• Collaborate with data engineers and product teams to deploy scalable analytics solutions.
• Present insights and recommendations to both technical teams and business leadership.

• +6 years of experience in data science, analytics, or business intelligence roles under digital transformation projects.
• Strong proficiency in Python, SQL, and Power BI or similar visualization tools.
• Experience with machine learning frameworks (Scikit-learn, Tensor Flow, or PyTorch).
• Strong analytical thinking and structured problem-solving skills.
• Experience in requirements gathering, stakeholder engagement, and business case development.
• Ability to communicate complex analytical findings in clear business terms.

• Experience in Oil & Gas, energy, or industrial analytics environments.
• Familiarity with enterprise data platforms such as Azure or Databricks.
• Knowledge of Agile delivery frameworks.
• Certification in Data Analytics, Business Analysis, or Data Science preferred.

Note
- Please apply via our official careers portal only, as applications sent directly to executives may not be considered