1,270 Data Mining jobs in Kenya

• Lead the development and implementation of advanced analytical models and machine learning algorithms to address complex challenges in mining operations, exploration, and processing.
• Define data strategy, identify key business questions, and translate them into data science projects.
• Extract, clean, and transform large, complex datasets from various sources including geological, operational, and financial data.
• Develop predictive models for resource estimation, ore body characterization, equipment failure prediction, and process optimization.
• Design and implement data visualization dashboards to communicate complex findings to technical and non-technical stakeholders.
• Mentor and guide a team of data scientists and analysts, fostering a culture of innovation and collaboration.
• Stay abreast of the latest advancements in data science, machine learning, and big data technologies, particularly as they apply to the mining industry.
• Collaborate with geologists, engineers, and operational managers to ensure data insights are integrated into decision-making processes.
• Evaluate and implement new data science tools and platforms to enhance analytical capabilities.
• Ensure data quality, integrity, and ethical use throughout the data lifecycle.

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Geostatistics, or a related quantitative field.
• 7+ years of experience in data science or advanced analytics, with a significant portion focused on the mining or natural resources sector.
• Proven experience leading data science teams and projects.
• Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python (with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch) or R.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of geological and mining processes.
• Excellent communication, presentation, and stakeholder management skills.

• Collect, clean, validate, and manage geological datasets from various sources.
• Perform statistical analysis of geological data to identify trends, patterns, and correlations.
• Develop and interpret 3D geological models and visualizations.
• Assist in resource estimation and mine planning activities through data analysis.
• Prepare technical reports, maps, and presentations on geological findings.
• Collaborate with geologists and mine engineers to provide data-driven insights.
• Ensure data integrity and maintain geological databases.
• Stay updated with the latest technologies and methodologies in geological data analysis.

• Bachelor's degree in Geology, Earth Sciences, Data Science, or a related field with a strong geological focus.
• Minimum of 3 years of experience in geological data analysis, preferably within the mining or exploration sector.
• Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, Micromine) and data analysis tools (e.g., Python, R, SQL).
• Strong understanding of geological principles and mining processes.
• Experience with geophysical and geochemical data interpretation.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex technical information clearly and concisely.
• Experience with data visualization techniques and tools.
• This hybrid role requires regular on-site presence in **Nyeri, Nyeri, KE**, with flexibility for remote work on specific tasks.

Our client is a multinational financial services firm, with a significant footprint.

Based in either Nairobi or Kuala Lumpur, this role will play a critical role in supporting their internal audit activities by providing insights through the analysis and correlation of data extracted from various systems across the business. Through advanced data analytics techniques, the role will enable the audit team to identify control failures, assess risks, and provide independent assurance to senior leadership that risks are being managed effectively and remain within the organization's approved risk appetite.

Key analytical activities include:

• Data profiling:
  Generating statistics to provide context and background on business processes.
• Reperformance testing:
  Re-performing calculations to validate transactions (e.g., payroll, claims), metrics from management information reports, and analytics models.
• Exception detection:
  Identifying instances where known restrictions, policies, or guidelines have not been followed.
• Anomaly detection:
  Detecting unusual or unexpected patterns of behaviour through data analysis.
• Root cause analysis:
  Identifying and quantifying the factors contributing to control failures and providing actionable insights.

The role also supports the internal audit leadership team in assessing the overall effectiveness of risk management practices.

Scope of the Role

As part of the regional audit resource pool, the Data Analytics Manager will be responsible for:

• Applying data analytics tools such as
  SQL
  and
  Python
  to support audit teams across the full audit lifecycle, from planning through closure.
• Detecting symptoms of control failures by analyzing operational data and providing insights to audit leads.
• Developing and maintaining
  continuous auditing dashboards
  using visualization tools such as
  Tableau
  or
  Power BI
  , providing clear visibility of control effectiveness across business units.
• Identifying trends and emerging themes that support the development of opinions on the organization's overall control environment.
• Supporting leadership in delivering continuous improvement initiatives and meeting stakeholder reporting requirements.
• Collaborating with internal teams, including
  IT
  and
  Compliance
  , to facilitate efficient data sourcing for audits and analytics initiatives.

Key Accountabilities

• Build and maintain strong working relationships with audit directors, internal audit leadership, and operational management teams.
• Deliver analytics outputs in line with internal methodologies and audit timelines.
• Provide audit leads with timely, accurate data-driven insights during fieldwork.
• Present audit findings to senior management, ensuring that appropriate responses are obtained for each identified issue.
• Manage analytics projects effectively, taking ownership of deliverables from start to finish.

Core Competencies

• Strong technical skills with
  SQL
  and
  Python (Pandas Library)
  for data analytics.
• Proficiency in visualization tools such as
  Tableau
  and/or
  Power BI
  .
• Advanced knowledge of
  Python
  /
  R
  for text analytics, NLP, predictive analytics, or machine learning is highly desirable.
• Excellent stakeholder management, communication, and presentation skills.

Knowledge & Experience

• Hands-on technical experience
  mining, cleaning, and analyzing data using databases and analytics tools.
• Strong working knowledge of SQL in a relational database environment.
• Solid experience using Python for data analysis and automation.
• Experience with machine learning and predictive analytics is advantageous.
• Background in
  financial services
  preferred, ideally with exposure to
  insurance
  or
  investment management
  sectors.
• Experience working within an
  audit
  or
  risk management
  environment is highly desirable.
• Exceptional attention to detail and logical problem-solving abilities.
• A collaborative team player with the ability to build and maintain professional respect within the team and across departments.

• Process and quality control raw geophysical data (e.g., seismic, magnetic, gravity, electromagnetic).
• Perform advanced data interpretation to identify geological structures and potential resource targets.
• Develop and maintain geophysical databases and models.
• Generate comprehensive reports and visualizations of findings.
• Collaborate with geologists and other geoscientists to integrate geophysical data with other geological information.
• Stay abreast of the latest advancements in geophysical methods and software.
• Contribute to the planning and design of geophysical surveys.
• Troubleshoot and resolve data processing issues.
• Ensure data integrity and adherence to company standards.

• Master's or Ph.D. in Geophysics, Earth Sciences, or a related field.
• Minimum of 5 years of experience in geophysical data processing and interpretation, preferably in the mining or exploration industry.
• Proficiency in industry-standard geophysical software (e.g., Petrel, Oasis Montaj, Geosoft).
• Strong programming skills (e.g., Python, MATLAB) for data analysis and automation are highly desirable.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities, with the capacity to present complex technical information clearly.
• Proven ability to work independently and manage time effectively in a remote setting.
• Must have a reliable internet connection and a suitable home office environment.