240 Data Mining jobs in Kenya
Lead Data Scientist - Mining Analytics (Remote)
60100 Embu, Eastern
KES220000 Annually
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Our client, a leader in the mining sector, is looking for a highly experienced Lead Data Scientist to drive innovation in mining analytics. This fully remote role is for an individual passionate about leveraging data to optimize exploration, extraction, and processing operations. You will lead a team of data scientists and analysts, setting the strategic direction for data-driven insights that enhance efficiency, safety, and sustainability within the mining industry. Your expertise will be crucial in developing advanced analytical models to address complex challenges in geology, metallurgy, and operational management.
You will be responsible for identifying key business questions, defining data requirements, and building robust machine learning models and algorithms. This includes working with diverse datasets from geological surveys, sensor data, operational logs, and financial records. The ideal candidate will have a proven track record of leading data science projects from concept to deployment, demonstrating measurable impact. Strong skills in programming languages like Python or R, experience with big data technologies, and a solid understanding of statistical modeling and machine learning techniques are essential. You should also possess excellent communication skills to translate complex analytical findings into actionable business recommendations for stakeholders at various levels. This is a fully remote position, allowing you to contribute from your preferred location.
Responsibilities:
You will be responsible for identifying key business questions, defining data requirements, and building robust machine learning models and algorithms. This includes working with diverse datasets from geological surveys, sensor data, operational logs, and financial records. The ideal candidate will have a proven track record of leading data science projects from concept to deployment, demonstrating measurable impact. Strong skills in programming languages like Python or R, experience with big data technologies, and a solid understanding of statistical modeling and machine learning techniques are essential. You should also possess excellent communication skills to translate complex analytical findings into actionable business recommendations for stakeholders at various levels. This is a fully remote position, allowing you to contribute from your preferred location.
Responsibilities:
- 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.
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0
Remote Geologist & Data Analyst (Mining)
80200 Shella
KES90000 Annually
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Posted 4 days ago
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Our client is seeking a highly analytical and experienced Remote Geologist & Data Analyst to join their innovative mining operations team. This is a fully remote position, requiring a deep understanding of geological principles and advanced data analysis techniques. You will be responsible for analyzing vast datasets from exploration and mining activities, identifying geological trends, assessing resource potential, and providing crucial insights to guide extraction strategies. The ideal candidate possesses strong skills in geological modeling software, data visualization tools, and statistical analysis, coupled with excellent written and verbal communication skills for remote collaboration.
Responsibilities:
Responsibilities:
- Analyze geological and geophysical data from exploration, drilling, and mining operations.
- Develop and interpret geological models to identify potential ore bodies and estimate resource volumes.
- Utilize advanced statistical methods and data mining techniques to extract meaningful insights from complex datasets.
- Generate detailed reports, maps, and visualizations of geological data for internal stakeholders.
- Collaborate remotely with exploration teams, mine engineers, and management to inform strategic decisions.
- Evaluate and recommend areas for further exploration based on data analysis and geological interpretation.
- Ensure data integrity and accuracy throughout all stages of analysis.
- Stay abreast of new technologies and methodologies in geological data analysis and interpretation.
- Contribute to the development of exploration and mine planning strategies.
- Maintain up-to-date knowledge of mining regulations and best practices.
- Perform risk assessments related to geological uncertainties in resource estimation.
- Assist in the selection and implementation of geological software and tools.
- Communicate complex geological findings clearly and concisely to both technical and non-technical audiences.
- Master's degree or PhD in Geology, Geophysics, or a related Earth Science field.
- Minimum of 5 years of experience in geological analysis, resource estimation, or exploration geology.
- Proficiency in geological modeling software (e.g., Leapfrog, Vulcan, ioGAS).
- Strong expertise in data analysis, statistical modeling, and programming languages (e.g., Python, R) is highly desirable.
- Experience with GIS software (e.g., ArcGIS, QGIS) and data visualization tools.
- Excellent analytical and problem-solving skills.
- Ability to interpret complex geological data and translate it into actionable business insights.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to work independently and manage projects effectively in a remote environment.
- Familiarity with mining industry best practices and safety standards.
- Experience with machine learning techniques applied to geological data is a significant plus.
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1
Graduate Trainee - Data Analytics
01001 Ngong
KES40000 Monthly
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Posted today
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Job Description
Our client is offering an exceptional opportunity for a motivated and ambitious Graduate Trainee to embark on a career in Data Analytics. This is a fully remote, paid internship, providing invaluable hands-on experience and mentorship within a dynamic and innovative environment. The program is designed for recent graduates eager to develop their skills in data interpretation, statistical analysis, and data visualization. You will have the chance to work on real-world projects, contribute to data-driven decision-making, and gain exposure to various analytical tools and techniques, all from your location within or near **Ruiru, Kiambu, KE**.
Program Overview:
Qualifications:
Program Overview:
- Gain comprehensive training in data analysis principles, methodologies, and best practices.
- Learn to collect, clean, transform, and prepare data for analysis using industry-standard tools.
- Develop skills in statistical modeling, hypothesis testing, and predictive analytics.
- Master data visualization techniques to create compelling dashboards and reports that communicate insights effectively.
- Work closely with experienced data analysts and scientists on challenging projects.
- Assist in identifying trends, patterns, and correlations within large datasets.
- Contribute to the development of data-driven strategies and recommendations for business stakeholders.
- Explore and learn various data analytics software and programming languages (e.g., SQL, Python, R, Tableau, Power BI).
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Develop a strong understanding of business challenges and how data can provide solutions.
- Receive ongoing feedback and mentorship to foster professional growth and career development.
- Prepare a final project showcasing acquired skills and contributions.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
- Strong analytical and problem-solving abilities.
- A keen interest in data and a passion for uncovering insights.
- Basic understanding of statistical concepts and principles.
- Familiarity with programming concepts is a plus.
- Excellent communication and interpersonal skills, with the ability to work collaboratively.
- Self-motivated, detail-oriented, and eager to learn new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- Access to a reliable internet connection and a suitable workspace.
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2
Graduate Trainee - Data Analytics
70100 Embu, Eastern
KES1500 Hourly
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Posted today
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Job Description
Our client is excited to offer a Graduate Trainee position in Data Analytics, designed for recent graduates eager to launch their careers in a fully remote capacity. This program provides comprehensive training and hands-on experience in data collection, analysis, and interpretation. You will work closely with experienced data professionals, contributing to meaningful projects that drive business decisions. This remote internship is an exceptional opportunity to develop critical analytical skills, learn industry-standard tools, and gain valuable insights into the world of data science and business intelligence.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assisting in the gathering and organization of data from various sources.
- Performing basic data cleaning and preprocessing tasks.
- Conducting exploratory data analysis to identify trends and patterns.
- Creating charts, graphs, and dashboards to visualize data effectively.
- Supporting senior analysts in developing reports and presentations.
- Learning and utilizing data analysis tools such as Excel, SQL, and BI platforms (e.g., Tableau, Power BI).
- Collaborating with team members in a remote setting to understand project requirements.
- Contributing to data quality checks and validation processes.
- Documenting analytical procedures and findings.
- Participating in training sessions and team meetings.
- Developing foundational knowledge in statistical concepts relevant to data analysis.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- Strong analytical and critical thinking skills.
- Proficiency in Microsoft Excel, including pivot tables and advanced formulas.
- Basic understanding of SQL for data querying is highly desirable.
- Familiarity with data visualization principles is a plus.
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote environment.
- Must have a reliable internet connection and a suitable workspace.
- Eagerness to learn and develop new skills in data analytics.
- A proactive and detail-oriented approach to tasks.
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3
Graduate Trainee - Data Analytics
60000 Meru , Eastern
KES30000 Monthly
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Job Description
Our client is excited to offer a remote Graduate Trainee position in Data Analytics, providing an exceptional opportunity for recent graduates to launch their careers. This fully remote internship is designed to immerse you in the world of data, providing hands-on experience with real-world projects. You will work alongside experienced data professionals, learning to collect, clean, analyze, and interpret complex datasets. Key responsibilities will include assisting in the development of data models, creating visualizations, and generating reports to support business decision-making. A strong foundational understanding of statistical concepts and quantitative analysis is required. We are looking for candidates with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Proficiency in at least one programming language commonly used in data science (e.g., Python, R) and familiarity with database concepts are highly advantageous. The ideal candidate is eager to learn, possesses strong problem-solving skills, and demonstrates excellent attention to detail. You will be expected to communicate your findings effectively, both verbally and in writing, to team members and stakeholders. This role demands a proactive attitude, the ability to work independently, and a commitment to continuous learning in a fast-paced remote environment. This is a fantastic chance to gain practical experience, develop valuable skills, and contribute to impactful data-driven projects. The internship supports various business units and projects that may have relevance to operations or client interests in or around Meru, Meru, KE, providing remote training and development opportunities.
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4
Graduate Trainee - Data Analytics
90100 Mangu
KES50000 Monthly
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Posted 2 days ago
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Job Description
Our client is launching an exciting new remote Graduate Trainee program designed to nurture and develop emerging talent in Data Analytics. This is an exceptional opportunity for recent graduates with a passion for data and a strong analytical mindset to kick-start their careers in a supportive, fully remote environment. You will gain hands-on experience working with real-world datasets, developing essential skills in data manipulation, visualization, and interpretation. Our client is committed to providing comprehensive training, mentorship from experienced professionals, and exposure to various analytical tools and techniques. This program aims to equip you with the foundational knowledge and practical skills required to excel as a data professional.
As a Graduate Trainee, you will:
To be considered, you should possess:
As a Graduate Trainee, you will:
- Assist senior data analysts in collecting, cleaning, and organizing data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Create clear and informative data visualizations and reports using tools like Tableau or Power BI.
- Support the development and implementation of data models.
- Learn and apply statistical methods for data analysis.
- Participate in team meetings and contribute to project discussions.
- Undertake training modules and workshops to enhance technical and soft skills.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to data quality assurance processes.
- Gain exposure to scripting languages like Python or R for data manipulation.
To be considered, you should possess:
- A recent Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- A strong academic record with excellent analytical and quantitative abilities.
- A demonstrable interest in data analysis and a desire to learn.
- Basic knowledge of data analysis concepts and tools (e.g., Excel, SQL). Familiarity with Python or R is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong written and verbal communication skills.
- Ability to work independently, manage time effectively, and be a proactive member of a remote team.
- A reliable internet connection and a suitable remote workspace.
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5
Graduate Trainee - Data Analytics
40100 Abothuguchi West
KES40000 Monthly
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Posted 2 days ago
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Job Description
Our client is seeking ambitious and bright recent graduates to join their esteemed Graduate Trainee program focused on Data Analytics. This is a fully remote opportunity, allowing you to kickstart your career from the comfort of your home. You will be immersed in a rigorous training program designed to equip you with the essential skills to analyze complex datasets, derive meaningful insights, and contribute to data-driven decision-making across various business units. This program offers invaluable hands-on experience with cutting-edge tools and methodologies in a supportive and collaborative virtual environment.
Program Highlights:
Program Highlights:
- Comprehensive training in data analysis techniques, statistical modeling, and data visualization.
- Exposure to industry-standard tools such as SQL, Python, R, and Tableau/Power BI.
- Mentorship from experienced data scientists and analysts.
- Hands-on project work across different business functions.
- Development of essential soft skills, including communication and presentation.
- Opportunity to contribute to real-world business challenges.
- Potential for full-time employment upon successful completion of the program.
- Recently graduated (within the last 12 months) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving abilities.
- A keen interest in data and a passion for uncovering insights.
- Basic understanding of programming concepts and data manipulation.
- Excellent communication skills, both written and verbal.
- Ability to work independently, manage time effectively, and collaborate in a remote team setting.
- Demonstrated ability to learn quickly and adapt to new technologies.
- Must have reliable internet access and a suitable home office setup.
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6
Graduate Trainee - Data Analytics
00208 Ongata Rongai, Rift Valley
KES45000 Monthly
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Posted 2 days ago
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Job Description
Our client, a dynamic and data-driven marketing consultancy, is seeking ambitious and enthusiastic Graduate Trainees to join their fully remote Data Analytics team. This is an exceptional opportunity for recent graduates to kick-start their careers, gain hands-on experience in data analysis, and contribute to impactful marketing strategies. You will work under the guidance of experienced data scientists and analysts, learning to transform raw data into actionable insights.
As a Graduate Trainee, your responsibilities will include assisting in the collection, cleaning, and processing of large datasets from various sources. You will help in performing exploratory data analysis, identifying trends, patterns, and anomalies. Utilizing tools such as SQL, Python (with libraries like Pandas, NumPy), and R, you will contribute to building reports and visualizations that communicate key findings to stakeholders. The role involves working closely with the marketing and client services teams to understand their data needs and deliver relevant analytical support.
You will be trained on various analytical techniques, including statistical modeling and predictive analytics, and participate in team meetings and knowledge-sharing sessions using virtual collaboration tools. A key aspect of this internship is to develop a strong understanding of data storytelling – how to effectively present complex data insights in a clear and concise manner. This fully remote position offers a flexible learning environment and the chance to contribute to real-world marketing campaigns. The goal is to nurture your talent and provide you with the foundational skills and experience necessary for a successful career in data analytics.
Qualifications:
This is a perfect entry-level position for motivated graduates looking to build a career in the exciting field of data analytics within a supportive and fully remote environment.
As a Graduate Trainee, your responsibilities will include assisting in the collection, cleaning, and processing of large datasets from various sources. You will help in performing exploratory data analysis, identifying trends, patterns, and anomalies. Utilizing tools such as SQL, Python (with libraries like Pandas, NumPy), and R, you will contribute to building reports and visualizations that communicate key findings to stakeholders. The role involves working closely with the marketing and client services teams to understand their data needs and deliver relevant analytical support.
You will be trained on various analytical techniques, including statistical modeling and predictive analytics, and participate in team meetings and knowledge-sharing sessions using virtual collaboration tools. A key aspect of this internship is to develop a strong understanding of data storytelling – how to effectively present complex data insights in a clear and concise manner. This fully remote position offers a flexible learning environment and the chance to contribute to real-world marketing campaigns. The goal is to nurture your talent and provide you with the foundational skills and experience necessary for a successful career in data analytics.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Basic understanding of data analysis principles and statistical concepts.
- Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R, SQL).
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills, suitable for remote collaboration.
- Self-motivated, eager to learn, and able to work independently in a remote setting.
- Attention to detail and a commitment to data accuracy.
- A keen interest in marketing and understanding customer behavior.
This is a perfect entry-level position for motivated graduates looking to build a career in the exciting field of data analytics within a supportive and fully remote environment.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Analytics
20100 Mwembe
KES35000 Monthly
WhatJobs
Posted 2 days ago
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Job Description
Our client, a dynamic and data-driven organization, is seeking ambitious and bright Graduate Trainees to join their fully remote Data Analytics program. This is an exceptional opportunity for recent graduates to launch their careers in the exciting field of data analysis, gaining hands-on experience and mentorship from industry experts. The program is designed to provide a comprehensive understanding of data manipulation, visualization, and interpretation, equipping trainees with the skills necessary to derive meaningful insights from complex datasets. You will be an integral part of teams working on critical business challenges.
Program Overview:
Program Overview:
- Intensive training in data analysis tools and methodologies, including SQL, Python (Pandas, NumPy), R, and data visualization software (e.g., Tableau, Power BI).
- Exposure to real-world data projects, assisting senior analysts in data cleaning, transformation, and exploratory data analysis.
- Learning to identify trends, patterns, and correlations within large datasets to support informed business decisions.
- Development of skills in creating compelling data visualizations and reports to communicate findings effectively.
- Understanding of statistical concepts and their application in data analysis.
- Opportunities to collaborate with various departments and understand their data needs.
- Mentorship from experienced data scientists and analysts, providing guidance and career development support.
- Participation in team meetings, case studies, and presentations.
- Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving abilities with a keen eye for detail.
- Excellent communication and interpersonal skills, with the ability to articulate technical concepts clearly.
- Proficiency in at least one programming language (e.g., Python, R) is highly desirable.
- Familiarity with database concepts and SQL is a significant advantage.
- A genuine passion for data and a strong desire to learn and grow in the field of data analytics.
- Ability to work independently and manage time effectively in a remote setting.
- Proactive attitude and a willingness to take on new challenges.
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8
Graduate Trainee - Data Analytics
80100 Nairobi, Nairobi
KES70000 Monthly
WhatJobs
Posted 2 days ago
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Job Description
Our client is excited to offer a fully remote Graduate Trainee position in Data Analytics, providing an exceptional opportunity for recent graduates to kick-start their career in a high-demand field. This program is designed to equip talented individuals with the skills and experience necessary to excel in data analysis and interpretation. You will work alongside experienced data professionals, contributing to real-world projects and gaining hands-on experience with data manipulation, visualization, and reporting tools. The program emphasizes learning and development, offering comprehensive training in statistical analysis, database management, and business intelligence. You will be exposed to various aspects of data analytics, including data cleaning, exploratory data analysis, dashboard creation, and deriving actionable insights to support business decisions. Strong analytical aptitude, a keen eye for detail, and a passion for data are essential. This is a fantastic chance to learn from industry experts in a supportive and collaborative remote environment.
Program Structure & Key Learning Areas:
Qualifications:
Program Structure & Key Learning Areas:
- Gain foundational knowledge in data analytics principles and methodologies.
- Learn to use industry-standard tools such as SQL, Python/R, Tableau, or Power BI.
- Participate in data cleaning, transformation, and preparation processes.
- Develop skills in creating meaningful data visualizations and interactive dashboards.
- Assist in conducting exploratory data analysis to identify trends and patterns.
- Support the generation of regular reports and performance metrics for various business units.
- Understand data governance principles and best practices for data handling.
- Develop problem-solving skills by tackling real-world data challenges.
- Collaborate with team members on analytical projects.
- Receive mentorship from senior data analysts and access continuous learning resources.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline.
- Strong analytical and problem-solving abilities.
- Familiarity with basic statistical concepts.
- Eagerness to learn and a proactive attitude towards skill development.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Basic proficiency in spreadsheet software (e.g., Microsoft Excel).
- Any exposure to programming languages (e.g., Python, R) or database querying (SQL) is a plus but not required.
- A genuine interest in data and its potential to drive business value.
This advertiser has chosen not to accept applicants from your region.
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