Senior Data Scientist - Energy Analytics
- wolverhampton, west midlands, WV1 1AA, United Kingdom
- Remote
- Full time
- £85,000 - £85,000 Per Annum
Job Description
About the Role
Our client is looking for a talented Senior Data Scientist to join their innovative analytics team, operating on a fully remote basis. In this role, you will leverage vast datasets from exploration, production, and operations to derive actionable insights and build predictive models that drive strategic decisions within the energy sector. You will work on challenging problems, from optimizing exploration targets to improving operational efficiency and predicting equipment failure. This is a fantastic opportunity for an experienced data scientist to work autonomously, influence data strategy, and contribute to cutting-edge projects.
Key Responsibilities
- Developing and deploying machine learning models for tasks such as predictive maintenance, production forecasting, and reservoir characterization.
- Analyzing large, complex datasets from diverse sources, including seismic, well logs, and operational data.
- Collaborating with domain experts (geologists, engineers) to understand business needs and translate them into data science problems.
- Communicating complex findings and insights effectively to both technical and non-technical stakeholders.
- Mentoring junior data scientists and contributing to the team's best practices in data analytics and model development.
Requirements
- PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- 5+ years of professional experience as a Data Scientist , with a strong background in the energy industry.
- Proficiency in programming languages like Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
Benefits
- Highly competitive salary and performance-based bonuses.
- Remote-first working environment with flexibility.
- Comprehensive health, dental, and vision insurance.
- Generous stock options and retirement plan.
- Continuous learning opportunities and access to cutting-edge technologies.


