264 Predictive Models jobs in Bahrain
Graduate Trainee - Data Analysis
511 Busaiteen, Muharraq
BHD25000 annum (stip
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Our client, a leading analytics firm, is offering an exciting Graduate Trainee opportunity in Data Analysis, located in A'ali, Northern, BH, with a fully remote work option. This program is designed for recent graduates eager to launch their careers in data science and analytics. You will gain hands-on experience working with large datasets, applying statistical methods, and developing predictive models under the guidance of experienced data professionals. This role provides a strong foundation for a career in data-driven decision-making.
Responsibilities:
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and preparing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms.
- Create data visualizations and reports to communicate findings to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Learn and apply various data analysis techniques and tools (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and contribute to project discussions.
- Stay updated on the latest developments in data science and analytics.
- Assist in documenting data processes and methodologies.
- Help in A/B testing design and analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Familiarity with programming languages commonly used in data analysis, such as Python or R.
- Knowledge of SQL for data extraction and manipulation.
- Basic understanding of statistical concepts and machine learning algorithms.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and collaboration skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently in a remote environment.
- Proactive attitude and strong work ethic.
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0
Graduate Trainee - Data Analysis
24205 Seef, Capital
BHD30000 Annually
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Our client is offering an exciting opportunity for a motivated Graduate Trainee to join their data analysis team in Jidhafs, Capital, BH . This program is designed for recent graduates looking to gain hands-on experience and develop their skills in a professional environment. The Graduate Trainee will assist senior data analysts in collecting, cleaning, analyzing, and interpreting large datasets. You will learn to use various data analysis tools and techniques, contributing to projects that drive business insights and decision-making. Key responsibilities include supporting data extraction, performing data quality checks, generating reports, and visualizing data trends. The ideal candidate will possess a strong academic background, a keen analytical mind, and a passion for working with data. Excellent attention to detail and the ability to learn quickly are essential. Proficiency in basic statistical concepts and familiarity with spreadsheet software (e.g., Microsoft Excel) is required. Exposure to programming languages like Python or R, or database querying languages like SQL, would be a significant advantage. You will work closely with experienced professionals, gaining valuable exposure to real-world data challenges and solutions. This internship provides a solid foundation for a career in data analysis, offering mentorship and opportunities for professional growth. The program duration is typically 6 months, with the possibility of extension or full-time employment based on performance and business needs. We are looking for enthusiastic individuals eager to apply their academic knowledge and contribute to impactful projects.
Responsibilities:
Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data analysis using statistical methods and tools.
- Create reports and visualizations to present data insights.
- Support senior analysts in data-driven projects.
- Ensure data accuracy and integrity.
- Learn and apply new data analysis techniques and software.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Eagerness to learn and develop skills in data analysis.
- Familiarity with Python, R, or SQL is a plus.
- Excellent attention to detail.
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1
Graduate Trainee - Data Analysis
901 Zallaq, Southern
BHD1500 month
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Our client is offering an exciting opportunity for motivated recent graduates to join their dynamic team as Graduate Trainees specializing in Data Analysis, based in Zallaq, Southern, BH . This program is designed to provide comprehensive training and hands-on experience in the field of data analytics, equipping you with the skills necessary for a successful career in this rapidly growing industry. As a Graduate Trainee, you will work closely with experienced data analysts, learning to collect, clean, process, and interpret large datasets. You will assist in identifying trends, developing insights, and creating visualizations to support business decision-making. Key responsibilities will include supporting data-driven projects, performing statistical analysis, and contributing to the development of reports and dashboards. The ideal candidate will possess a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. You should have a keen analytical mind, a passion for data, and a strong desire to learn. Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) and familiarity with data visualization tools (e.g., Tableau, Power BI) would be advantageous. This is an excellent opportunity to gain practical experience, develop valuable skills, and launch your career in data analysis.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and processing data from various sources.
- Perform data analysis using statistical methods and tools.
- Support the development of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior analysts on data-related projects.
- Identify patterns and trends in datasets.
- Learn and apply new data analysis techniques and software.
- Contribute to data quality assurance efforts.
- Document analytical processes and methodologies.
- Present findings to team members.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and methodologies.
- Familiarity with programming languages such as Python or R is a plus.
- Exposure to data visualization tools (e.g., Tableau, Power BI) is beneficial.
- Excellent communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work effectively in a team environment.
- Attention to detail and commitment to data accuracy.
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2
Graduate Trainee - Data Analysis
22241 Busaiteen, Muharraq
BHD3000 Annually
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Posted 8 days ago
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Our client is offering an exceptional Graduate Trainee opportunity within our Data Analysis department, located in A'ali, Northern, BH . This program is designed for recent graduates who are eager to launch their careers in data science and analytics. As a Graduate Trainee, you will gain hands-on experience working with large datasets, applying statistical methods, and developing predictive models under the guidance of experienced data scientists. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, and the visualization of key findings. You will learn to use various analytical tools and programming languages such as Python and R, as well as database technologies like SQL. This role provides exposure to diverse business challenges, enabling you to contribute to data-driven decision-making across different departments. You will participate in team projects, present your findings, and collaborate with stakeholders to understand business requirements. The program aims to provide a comprehensive understanding of the data analysis workflow, from data collection to actionable insights. Essential qualifications include a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. A strong analytical mindset, excellent problem-solving abilities, and a keen attention to detail are a must. Previous internship experience in data analysis or a related field is advantageous. Proficiency in Microsoft Excel and a foundational understanding of programming concepts are required. The ability to communicate complex findings clearly and concisely is also important. This is an unparalleled opportunity for ambitious individuals to develop critical skills, build a strong professional network, and accelerate their career growth in the exciting field of data analytics.
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3
Geologist (Remote Sensing & Data Analysis)
SAL 1234 Bilad Al Qadeem, Capital
BHD90000 Annually
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Our client, a leading firm in the global mining sector, is seeking a skilled Geologist with expertise in remote sensing and data analysis to join their fully remote technical team. This position is crucial for identifying and evaluating new mineral exploration targets and optimizing existing operations through advanced data interpretation. You will leverage satellite imagery, aerial surveys, and other geospatial data to identify geological structures, mineral alteration zones, and potential resource deposits. Proficiency in geological modeling software and data analysis tools is essential. This is a unique opportunity to contribute your expertise from a remote location, collaborating with geoscientists and engineers worldwide. You will play a pivotal role in advancing the company's exploration strategies and resource estimation efforts. Your work will directly impact the discovery and development of critical mineral resources.
Key Responsibilities:
Key Responsibilities:
- Analyze remote sensing data (e.g., hyperspectral, multispectral, radar) for geological mapping and mineral exploration.
- Utilize GIS and geological software (e.g., ArcGIS, QGIS, Leapfrog) for data processing and visualization.
- Develop and implement geological models based on integrated datasets.
- Interpret geophysical and geochemical data in conjunction with remote sensing imagery.
- Identify and prioritize prospective areas for mineral exploration based on data analysis.
- Prepare detailed geological reports, presentations, and technical recommendations.
- Collaborate with field geologists and exploration teams to validate remote sensing interpretations.
- Stay current with advancements in remote sensing technologies and geological data analysis techniques.
- Ensure data quality and integrity throughout the analysis process.
- Master's degree or Ph.D. in Geology, Geophysics, or a related Earth Science field.
- Minimum of 5 years of experience in geological exploration, with a strong focus on remote sensing and data analysis.
- Expertise in processing and interpreting various types of satellite and aerial imagery.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling software.
- Strong analytical skills and experience with statistical analysis and data mining techniques.
- Knowledge of mineral deposit types and exploration methodologies.
- Familiarity with programming languages such as Python for data analysis is highly desirable.
- Excellent written and verbal communication skills for technical reporting and remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- Commitment to safety and environmental best practices in resource exploration.
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4
Junior Graduate Trainee Program - Data Analysis
307 Hamala, Northern
BHD500 month
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Posted 8 days ago
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Our client is seeking bright, ambitious graduates to join their prestigious Data Analysis Graduate Trainee program. This is an exceptional opportunity for recent graduates looking to kickstart their career in a dynamic and data-driven environment. The program is designed to provide comprehensive training and hands-on experience across various aspects of data analysis, from collection and cleaning to interpretation and reporting. You will work closely with experienced data scientists and analysts, contributing to real-world projects that have a tangible impact on business strategies.
Key responsibilities will include:
The ideal candidate will possess a strong academic background, ideally with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Excellent analytical and problem-solving skills are essential, along with a keen eye for detail and a passion for uncovering insights from data. Proficiency in at least one programming language such as Python or R is highly desirable, as is familiarity with data visualization tools like Tableau or Power BI. Strong communication skills, both written and verbal, are crucial for presenting findings to diverse audiences. This role is based in **Sanad, Capital, BH**, offering a fantastic stepping stone into the world of data analytics within a supportive and challenging environment. Join us and help shape the future of data-driven decision-making.
Key responsibilities will include:
- Assisting in the collection, organization, and management of large datasets.
- Performing data cleaning and preprocessing to ensure data accuracy and integrity.
- Conducting exploratory data analysis to identify trends, patterns, and insights.
- Developing and implementing data visualizations to communicate findings effectively.
- Supporting senior team members in the creation of reports and dashboards.
- Learning and applying statistical methods and machine learning techniques.
- Collaborating with cross-functional teams to understand data needs and deliver solutions.
- Participating in training sessions and workshops to enhance technical skills.
The ideal candidate will possess a strong academic background, ideally with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. Excellent analytical and problem-solving skills are essential, along with a keen eye for detail and a passion for uncovering insights from data. Proficiency in at least one programming language such as Python or R is highly desirable, as is familiarity with data visualization tools like Tableau or Power BI. Strong communication skills, both written and verbal, are crucial for presenting findings to diverse audiences. This role is based in **Sanad, Capital, BH**, offering a fantastic stepping stone into the world of data analytics within a supportive and challenging environment. Join us and help shape the future of data-driven decision-making.
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5
AI/Machine Learning Engineer - Data Science
1301 Busaiteen, Muharraq
BHD90000 Annually
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Our client, a forward-thinking technology firm at the forefront of AI innovation, is seeking a highly skilled AI/Machine Learning Engineer to contribute to cutting-edge projects. This position is based in the tech hub of A'ali, Northern, BH , and offers a fully remote working arrangement. The AI/Machine Learning Engineer will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions that solve complex business problems. Key responsibilities include data preprocessing and feature engineering, building and training predictive models using various algorithms, evaluating model performance, and implementing scalable AI systems. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, with a strong academic record and practical experience. Proven experience in developing and implementing machine learning algorithms (e.g., regression, classification, clustering, deep learning) using frameworks such as TensorFlow, PyTorch, or scikit-learn is required. Proficiency in programming languages like Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), is essential. Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning is a plus. Excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote setting are crucial. This is an exceptional opportunity to work on challenging AI projects, contribute to groundbreaking research, and grow your career in a rapidly evolving field.
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Machine Learning Engineer
44230 Al Hidd
BHD90000 Annually
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Our client is looking for an innovative and highly skilled Machine Learning Engineer to contribute to cutting-edge projects in Budaiya, Northern, BH . This role involves the design, development, and deployment of advanced machine learning models and algorithms. You will work on challenging problems across various domains, leveraging large datasets to extract valuable insights and build intelligent systems. Responsibilities include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will stay abreast of the latest advancements in AI and ML, implementing state-of-the-art techniques to solve complex business challenges. Collaboration with data scientists, software engineers, and product managers is key to ensure successful integration of ML solutions into existing platforms. The ideal candidate possesses a strong foundation in computer science, mathematics, and statistics, with hands-on experience in popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages like Python is essential, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP). We seek a proactive individual with a passion for innovation, a keen eye for detail, and the ability to translate complex technical concepts into actionable solutions. Join us in pushing the boundaries of AI and making a significant impact.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Deploy ML models into production environments using MLOps practices.
- Collaborate with data scientists and engineers to integrate ML solutions.
- Research and apply the latest AI and ML techniques and technologies.
- Develop and maintain documentation for ML models and pipelines.
- Monitor model performance in production and retrain as needed.
- Contribute to the development of AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or data science with a focus on applied ML.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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7
Machine Learning Engineer
20901 Seef, Capital
BHD120000 Annually
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Our client, a forward-thinking technology company at the forefront of AI innovation, is actively seeking a talented and experienced Machine Learning Engineer to contribute to cutting-edge projects in Jidhafs, Capital, BH . This role is pivotal in designing, developing, and deploying advanced machine learning models and algorithms that solve complex business challenges. The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, coupled with hands-on experience in building and deploying ML systems. You will be responsible for data preprocessing, feature engineering, model training, evaluation, and deployment, working with large datasets and state-of-the-art ML frameworks. This position requires expertise in programming languages such as Python, and familiarity with ML libraries like TensorFlow, PyTorch, or scikit-learn. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into production environments. The successful candidate will have a deep understanding of various ML techniques, including supervised, unsupervised, and deep learning. This is an exceptional opportunity for a passionate individual to work on challenging problems, contribute to groundbreaking research, and impact the future of artificial intelligence. We are looking for a proactive problem-solver with a strong aptitude for learning and adapting to new technologies. Your ability to translate complex technical concepts into practical solutions and your commitment to ethical AI practices will be highly valued. Your work will be instrumental in driving innovation and creating intelligent systems that transform industries.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Perform data preprocessing, feature engineering, and data analysis to prepare datasets for model training.
- Train, evaluate, and optimize machine learning models for performance and accuracy.
- Deploy machine learning models into production environments.
- Collaborate with data scientists and software engineers to integrate ML solutions into existing systems.
- Stay current with the latest advancements in AI and machine learning research and techniques.
- Develop and maintain robust MLOps pipelines for model deployment and monitoring.
- Conduct experiments and research to explore new ML approaches.
- Write clean, efficient, and well-documented code.
- Communicate technical findings and model performance to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 4-6 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical modeling, algorithms, and machine learning concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proven experience in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark) is a plus.
- Published research in reputable ML conferences or journals is a plus.
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8
Machine Learning Engineer
00170 Zallaq, Southern
BHD125000 Annually
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Our client is seeking a highly skilled Machine Learning Engineer to join their innovative team focused on developing advanced AI solutions in **Zallaq, Southern, BH**. This role is critical for designing, building, and deploying sophisticated machine learning models that drive business intelligence and create impactful applications. The ideal candidate will have a strong background in statistical modeling, deep learning, and a passion for leveraging data to solve complex problems.
Key Responsibilities:
Qualifications:
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
Key Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms.
- Implement and manage data pipelines for model training and evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Optimize model performance for accuracy, scalability, and efficiency.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI research.
- Develop robust testing and validation strategies for ML models.
- Monitor deployed models for performance drift and implement retraining strategies.
- Work with large datasets, performing feature engineering and selection.
- Contribute to the architectural design of ML platforms and infrastructure.
- Document model development processes, findings, and deployment procedures.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work effectively in a fast-paced, dynamic environment.
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
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