751 Data Mining jobs in Bahrain

• Develop, implement, and validate advanced statistical and machine learning models to analyze mining data.
• Extract, clean, and preprocess large datasets from various sources, including sensors, geological reports, and operational logs.
• Identify key performance indicators (KPIs) and develop dashboards and reports to track operational efficiency and predict potential issues.
• Design and build predictive models for equipment failure, production output, and resource grade.
• Apply data science techniques to optimize mine planning, scheduling, and resource allocation.
• Collaborate with geologists, engineers, and operations managers to understand data challenges and deliver actionable insights.
• Research and implement new data science methodologies and technologies relevant to the mining sector.
• Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
• Contribute to the development of a data-driven culture within the organization.
• Ensure data quality, integrity, and security throughout the analytical process.
• Mentor junior data scientists and contribute to the growth of the data science team.

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 6 years of professional experience as a Data Scientist, with a strong emphasis on applying data science in the mining or natural resources sector.
• Proven expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis, deep learning), and their practical application.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Experience with big data technologies (e.g., Spark, Hadoop) and database management (SQL, NoSQL).
• Familiarity with geological data, geostatistics, and mine planning software is highly desirable.
• Strong understanding of operational challenges and optimization in the mining industry.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to translate complex data insights into business strategies.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Ability to work independently and collaboratively in a fully remote environment.

• Lead the design, development, and deployment of sophisticated data science models and machine learning algorithms tailored for the mining industry.
• Utilize large datasets from exploration, extraction, processing, and operational monitoring to derive actionable insights and predictive capabilities.
• Develop and implement strategies for data collection, cleaning, feature engineering, and model validation specific to mining-related data.
• Collaborate closely with geologists, mining engineers, operational managers, and other stakeholders to identify key business challenges and translate them into data science problems.
• Build and maintain robust data pipelines and analytical frameworks for real-time monitoring and decision support.
• Mentor and guide a team of data scientists and analysts, fostering a culture of innovation and technical excellence in a remote setting.
• Evaluate and implement new data science tools, technologies, and methodologies relevant to the mining sector.
• Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical audiences through reports, presentations, and visualizations.
• Ensure the ethical and responsible use of data and AI in mining operations.
• Stay abreast of the latest advancements in data science, machine learning, and their applications within the resources and mining industry.

• Develop and implement advanced statistical and machine learning models for mining operations.
• Analyze large datasets from various sources to identify trends and patterns.
• Design and execute data mining strategies to optimize resource exploration and extraction.
• Build predictive models for equipment failure, safety incidents, and production forecasts.
• Collaborate with domain experts to define analytical problems and develop solutions.
• Communicate complex analytical findings and recommendations to stakeholders.
• Develop data visualization tools and dashboards for operational insights.
• Stay updated with the latest advancements in data science and machine learning techniques.
• Contribute to the development of data strategies and best practices.
• Mentor junior data scientists and promote data-driven decision-making.

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 7+ years of experience in data science, with a focus on applying ML/AI in industrial settings.
• Expertise in Python or R, including relevant data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of database technologies and SQL.
• Proven experience in statistical modeling, machine learning, and data mining.
• Excellent problem-solving and analytical skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Experience working with large, complex datasets.
• Ability to work independently and manage projects effectively in a remote setting.

• Leading the design, development, and implementation of data science solutions for mining operations.
• Building and maintaining advanced machine learning models for predictive analytics (e.g., yield prediction, equipment failure, safety risks).
• Developing data pipelines and ETL processes for large, complex datasets from various sources.
• Collaborating with domain experts to define business problems and translate them into analytical frameworks.
• Mentoring and guiding junior data scientists and analysts.
• Communicating complex analytical findings and recommendations to diverse stakeholders.
• Staying abreast of the latest advancements in data science, AI, and machine learning.
• Ensuring the ethical and responsible use of data.

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience as a Data Scientist, with at least 2 years in a lead or senior role.
• Proven experience in applying machine learning and statistical modeling to solve complex business problems.
• Proficiency in Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is highly desirable.
• Strong understanding of geological data, mining processes, and operational challenges.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and leadership abilities.

Company

Gulf Air Group

Division

Information Technology

Location

Department

Information Technology

Closing Date

10-Jun-2025

The Senior Analyst - Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data-driven decision-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision-making.

By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization’s analytical capabilities, improve data-driven strategies, and help achieve strategic objectives.

Conduct data analysis to identify trends, patterns, and correlations.

Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs).

Collaborate with stakeholders to understand business requirements and translate them into data analytics projects.

Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions.

Prepare and present reports, visualizations, and recommendations to stakeholders.

Assist in data quality assurance activities, including data cleansing and validation.

Support the implementation and maintenance of data analytics tools and platforms.

Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions.

Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making.

Adhere to data security, privacy, and compliance policies and regulations.

Technical Responsibilities:

Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau.

Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts.

Familiarity with data manipulation and transformation techniques.

Understanding of basic machine learning algorithms and their application in data analytics.

Ability to work with large datasets and perform data cleansing and manipulation.

Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science.

Proven experience of at least 2 years in data analytics or a related field

Strong analytical and problem-solving skills, with the ability to derive insights from complex data sets.

Proficient in data analysis tools and programming languages.

Excellent communication and presentation skills.

If you meet the criteria and you are enthusiastic about the role, we would welcome yourapplication.Tocomplete the application you would need the following document(s):

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

• In this 24week (part-time) Data Analytics Bootcamp, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI, Python as the tools for analysis.

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, POWER BI and Python Programming.
• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have at least 3 years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data based insights.

ESSENTIAL RESPONSIBILITIES AND DUTIES

• Teach Sunday to Wednesday, 6pm to 9pm for the duration of the 24-week course, in-person on campus in Bahrain.
• Instructors will need to commit a few hours per day preparing lessons and materials, leveraging existing GA curriculum content.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar final project that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Posting date:

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

Data Analytics Lead Instructor

In this immersive course, students learn and practice turning messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, Power BI and Python as the primary tools for analysis. We are looking for an instructor to lead this In-Campus (based in Bahrain) Analytics course. This role is a full-time, temporary position that includes a start and end date for this cohort. There may be potential to receive an additional assignment offering, but additional assignments are not guaranteed.

This role is to be performed on-site, in-campus in Bahrain .

SKILLS AND QUALIFICATIONS

• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python.
• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have at least 5 years of work experience in a role where you've been responsible for cleaning messy data, analyzing the data and presenting your data based insights.

Preferred

• Experience working in-campus, in-person mentoring or in-person training etc.
• Backgrounds in adult learning, pedagogy and curriculum development
• Background in workshop facilitation and professional development
• Completion of a bachelor's degree or at least 10 years of applicable experience in lieu of a 4-year degree
• At least 2 years of practical experience within the last five years; 3 years preferred.
• Practical experience does not include teaching experience.
• Good moral character and strong decision making abilities
• Language, mathematical, reasoning, and computer skills that assure teaching effectiveness.

RESPONSIBILITIES AND DUTIES

• Teach and facilitate in class instruction based on the schedule proposed in the interview (full-time: Sunday through Thursday 9 AM to 5 PM; different scheduling for part-time)
• Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
• Collaborate alongside GA staff in order to best meet the needs and learning styles of your students.
• Guide students through the development of real world projects that will showcase their abilities to hiring managers.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning complex subjects.
• Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students worldwide.

General Assembly will cover all travel-related expenses for qualified candidates.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

• Assist in data collection, cleaning, and transformation.
• Support the development of reports and dashboards.
• Perform exploratory data analysis on various datasets.
• Help identify trends, patterns, and insights within data.
• Assist with ad-hoc data requests from business stakeholders.
• Learn and apply data analysis tools and techniques.
• Collaborate with senior data analysts and team members.

• Currently pursuing a degree in a quantitative field (Data Science, Statistics, etc.).
• Strong analytical and problem-solving abilities.
• Excellent attention to detail.
• Basic understanding of statistics and data concepts.
• Eagerness to learn and develop data analysis skills.
• Good communication and presentation skills.
• Familiarity with SQL, Python, or R is a plus.
• Familiarity with data visualization tools is a plus.