2 Data Analysis jobs in Greater Manchester
Remote Senior Data Scientist - Mining Analytics
M1 1AN Manchester, North West
£70000 Annually
WhatJobs
Posted 25 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and innovative Remote Senior Data Scientist to drive advanced analytics within the mining sector. This is a fully remote position, offering the opportunity to work from anywhere within the UK. You will play a pivotal role in developing and implementing sophisticated data models and algorithms to optimize exploration, extraction, and operational efficiency in mining processes. The ideal candidate will possess a strong statistical background, expertise in machine learning, and a deep understanding of the challenges and opportunities within the global mining industry.
As a Senior Data Scientist, you will lead complex data projects, from data acquisition and cleaning to model development, validation, and deployment. You will collaborate closely with geologists, engineers, and operational managers to translate business needs into data-driven solutions. Your ability to interpret intricate datasets, communicate findings effectively to both technical and non-technical stakeholders, and contribute to strategic decision-making will be critical. This role requires a proactive approach to identifying new analytical opportunities and a commitment to pushing the boundaries of data science in a challenging environment.
Key Responsibilities:
As a Senior Data Scientist, you will lead complex data projects, from data acquisition and cleaning to model development, validation, and deployment. You will collaborate closely with geologists, engineers, and operational managers to translate business needs into data-driven solutions. Your ability to interpret intricate datasets, communicate findings effectively to both technical and non-technical stakeholders, and contribute to strategic decision-making will be critical. This role requires a proactive approach to identifying new analytical opportunities and a commitment to pushing the boundaries of data science in a challenging environment.
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms for mining operations (e.g., resource estimation, predictive maintenance, process optimization, safety analytics).
- Collect, clean, and transform large, complex datasets from various sources (e.g., geological surveys, sensor data, production logs, operational systems).
- Perform exploratory data analysis to identify trends, patterns, and insights relevant to mining operations.
- Build and deploy predictive models and analytical solutions into production environments.
- Evaluate and benchmark model performance, iterating to improve accuracy and efficiency.
- Collaborate with cross-functional teams, including geoscientists, engineers, and operations personnel, to understand data needs and deliver actionable insights.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and executive audiences through reports, presentations, and visualizations.
- Mentor junior data scientists and contribute to the overall growth of the data science team and best practices.
- Stay abreast of the latest advancements in data science, machine learning, and their applications within the mining industry.
- Identify opportunities for leveraging new data sources and analytical techniques to drive business value.
- Contribute to the development of data infrastructure and tooling.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- 5+ years of professional experience in data science, with a significant focus on applying advanced analytical techniques to real-world problems.
- Proven experience in the mining, oil & gas, or a related heavy industry sector is highly desirable.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong knowledge of database technologies (SQL, NoSQL) and experience with big data platforms (e.g., Spark, Hadoop).
- Demonstrated experience in developing and deploying machine learning models.
- Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Ability to work independently and manage complex projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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Remote Principal Mining Data Scientist
M1 1AE Manchester, North West
£80000 Annually
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client, a global leader in resource extraction and innovation, is seeking a highly experienced and visionary Remote Principal Mining Data Scientist to drive data-driven decision-making across their operations. This fully remote position offers a unique opportunity to leverage advanced analytics, machine learning, and artificial intelligence to solve complex challenges within the mining sector. You will be instrumental in extracting valuable insights from vast datasets, optimising operational efficiency, enhancing safety protocols, and identifying new opportunities for growth. The ideal candidate possesses a strong background in data science, a deep understanding of mining processes, and a proven track record of delivering impactful analytical solutions.
Key responsibilities include:
The successful applicant will hold a Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mining Engineering, or a related quantitative field. Extensive experience in applying data science and machine learning techniques to real-world problems, particularly within the mining or natural resources sector, is essential. Proven expertise in programming languages such as Python or R, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP), is required. Exceptional analytical, problem-solving, and leadership skills are critical for this senior, remote role.
Key responsibilities include:
- Leading the development and implementation of sophisticated data science models for mining operations, including predictive maintenance, resource estimation, and geological modelling.
- Designing and executing data mining strategies to uncover trends, patterns, and insights from diverse data sources such as sensor data, geological surveys, and operational logs.
- Developing and deploying machine learning algorithms to optimise extraction processes, improve safety outcomes, and reduce operational costs.
- Collaborating closely with mining engineers, geologists, and operational managers in a remote environment to understand their challenges and translate them into data science problems.
- Mentoring and guiding junior data scientists and analysts within the organisation.
- Staying at the forefront of data science and AI advancements, identifying and evaluating new tools and techniques applicable to the mining industry.
- Communicating complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
- Ensuring data quality, integrity, and governance across all analytical projects.
- Developing and maintaining robust data pipelines and infrastructure for large-scale data processing.
- Contributing to the strategic roadmap for data analytics and digital transformation within the mining division.
- Evaluating the economic and operational impact of data science initiatives.
The successful applicant will hold a Ph.D. or Master's degree in Data Science, Computer Science, Statistics, Mining Engineering, or a related quantitative field. Extensive experience in applying data science and machine learning techniques to real-world problems, particularly within the mining or natural resources sector, is essential. Proven expertise in programming languages such as Python or R, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP), is required. Exceptional analytical, problem-solving, and leadership skills are critical for this senior, remote role.
This advertiser has chosen not to accept applicants from your region.
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