81 Data Analysts jobs in Edinburgh
Senior Data Scientist - Mining & Exploration
Posted 10 days ago
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Key Responsibilities:
- Develop and deploy sophisticated data models and machine learning algorithms for geological data analysis, predictive modeling, and resource estimation.
- Process, clean, and transform large, complex datasets from various sources (e.g., seismic, drilling, geophysical, operational).
- Collaborate with geologists, geophysicists, and engineers to understand data needs and translate business problems into analytical solutions.
- Design and implement A/B testing frameworks and statistical analyses to evaluate new exploration strategies.
- Create insightful data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining and exploration industry.
- Mentor junior data scientists and contribute to building the team's analytical capabilities.
- Ensure data quality, integrity, and security across all analytical projects.
- Contribute to the development of data infrastructure and best practices within the organization.
- Identify opportunities for data-driven improvements in exploration targeting and operational efficiency.
- Present findings and recommendations to senior management and key stakeholders.
Qualifications and Experience:
- Master's or PhD in Data Science, Statistics, Computer Science, Geosciences, or a related quantitative field.
- Proven track record of 5+ years in a Data Scientist role, with significant experience in applying ML/AI to complex datasets.
- Expertise in Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong experience with SQL and working with large relational and non-relational databases.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of geological or mining industry data is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex results clearly.
- Ability to work effectively in a hybrid team environment.
This is a pivotal role for an expert in data science seeking to apply their skills to impactful challenges in the natural resources sector. If you are a strategic thinker driven by data, we encourage you to apply.
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