279 Predictive Analytics jobs in Bahrain
Lead Data Scientist, Predictive Analytics
00170 Northern, Northern
BHD120000 Annually
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Our client, a pioneering force in cutting-edge research, is seeking a visionary Lead Data Scientist to join their advanced scientific research and development division in **Shakhura, Northern, BH**. This senior role is instrumental in driving innovation through the application of advanced analytics and machine learning. You will lead a team of talented data scientists and analysts in uncovering insights from complex datasets, building sophisticated predictive models, and translating these findings into actionable strategies that shape future research directions. The ideal candidate possesses a deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques, coupled with proven leadership experience.
Key Responsibilities:
Key Responsibilities:
- Lead the end-to-end development and deployment of machine learning models and predictive analytics solutions.
- Design and implement robust data pipelines for data extraction, transformation, and loading.
- Perform exploratory data analysis to identify trends, patterns, and anomalies in large datasets.
- Develop and validate statistical models and algorithms to solve complex scientific problems.
- Collaborate with researchers and engineers to define project requirements and translate business needs into data science solutions.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.
- Present complex findings and insights clearly and concisely to both technical and non-technical audiences.
- Evaluate and implement new data science technologies and methodologies.
- Ensure the quality, integrity, and ethical use of data.
- Stay abreast of the latest research in machine learning, artificial intelligence, and data science.
- Contribute to the strategic direction of the R&D department by identifying opportunities for data-driven insights.
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Senior Data Scientist - Predictive Analytics
01700 Tubli, Central
BHD115000 Annually
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Our client is looking for a highly analytical and innovative Senior Data Scientist to join their cutting-edge IT team, based in **Janabiyah, Northern, BH**, with a hybrid work model. This role is central to leveraging advanced data analytics and machine learning techniques to drive business insights and inform strategic decision-making. You will be responsible for collecting, cleaning, and analyzing large datasets, building predictive models, and communicating complex findings to both technical and non-technical stakeholders. The ideal candidate possesses a strong background in statistics, machine learning, and programming, with a passion for solving complex business problems through data.
Key responsibilities include:
Key responsibilities include:
- Developing and implementing sophisticated statistical models and machine learning algorithms.
- Collecting, cleaning, transforming, and analyzing large, complex datasets from various sources.
- Building predictive models for areas such as customer behavior, market trends, and operational efficiency.
- Designing and conducting A/B tests and other experiments to evaluate model performance and business impact.
- Visualizing data and model results in clear and concise ways for diverse audiences.
- Collaborating with business stakeholders to understand their needs and translate them into data science problems.
- Communicating complex analytical findings and recommendations effectively to technical and non-technical teams.
- Staying current with the latest research and advancements in data science, machine learning, and artificial intelligence.
- Contributing to the development of data infrastructure and best practices within the data science team.
- Mentoring junior data scientists and fostering a culture of data-driven decision-making.
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1
Lead Data Scientist - Predictive Analytics
215 Seef, Capital
BHD125000 Annually
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Our client is seeking a highly skilled and experienced Lead Data Scientist to spearhead their predictive analytics initiatives in Seef, Capital, BH . This senior role will involve developing and deploying sophisticated machine learning models to uncover insights, forecast trends, and optimize business strategies. The Lead Data Scientist will be responsible for guiding a team of data scientists, defining project roadmaps, and collaborating with stakeholders across departments to translate data-driven findings into actionable business recommendations. You will play a crucial role in harnessing the power of data to drive strategic decision-making and competitive advantage. Responsibilities include:
- Leading the end-to-end development and deployment of predictive models using advanced statistical techniques and machine learning algorithms.
- Designing and implementing data mining strategies, including data cleaning, feature engineering, and model validation.
- Mentoring and guiding junior data scientists, fostering a collaborative and innovative team environment.
- Identifying business opportunities that can be addressed through data science and analytics.
- Communicating complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Developing and maintaining data pipelines and infrastructure required for model development and deployment.
- Staying current with the latest research, tools, and techniques in data science, machine learning, and artificial intelligence.
- Collaborating with software engineers and IT teams to integrate models into production systems.
- Evaluating the performance of deployed models and iterating to improve accuracy and impact.
- Championing data-driven decision-making across the organization.
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2
Senior Data Scientist - Predictive Analytics
10740 Riffa, Southern
BHD120000 Annually
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Our client is seeking a highly skilled Senior Data Scientist with expertise in predictive analytics to join their innovative research and development team in **Riffa, Southern, BH**. This role is critical for leveraging data to drive business insights and develop cutting-edge predictive models. You will be responsible for designing, developing, and implementing advanced statistical and machine learning models to forecast trends, identify patterns, and solve complex business problems. Key duties include data collection, cleaning, and preprocessing from various sources, performing exploratory data analysis, and selecting appropriate modeling techniques. You will validate model performance, interpret results, and communicate findings effectively to both technical and non-technical stakeholders through visualizations and reports. Collaboration with cross-functional teams, including product development and marketing, to identify opportunities for data-driven solutions is crucial. The ideal candidate will possess a strong foundation in statistical modeling, machine learning algorithms, and data mining techniques. Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis tools (e.g., SQL, Spark) are essential. A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, along with a minimum of 5 years of experience in data science or predictive modeling, is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
Responsibilities:
Responsibilities:
- Develop and deploy predictive models using statistical and machine learning techniques.
- Perform data analysis, including data mining and exploratory data analysis.
- Clean, transform, and preprocess large datasets.
- Validate model performance and interpret results.
- Communicate findings and recommendations to stakeholders.
- Collaborate with cross-functional teams on data-driven initiatives.
- Stay abreast of the latest advancements in data science and AI.
- Build and maintain data pipelines for model training and inference.
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3
Senior Machine Learning Engineer - Predictive Analytics
1004 Riffa, Southern
BHD105000 Annually
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Our client, a leading innovator in AI solutions, is seeking a highly skilled Senior Machine Learning Engineer to drive the development of advanced predictive analytics models. This challenging role, located in Riffa, Southern, BH , will involve designing, implementing, and deploying sophisticated machine learning algorithms to solve complex business problems and unlock new insights from large datasets. The ideal candidate will possess a strong theoretical understanding of machine learning, coupled with practical experience in building and deploying production-ready ML systems.
Key responsibilities include designing and developing cutting-edge machine learning models for various applications, including forecasting, anomaly detection, recommendation systems, and natural language processing. You will be responsible for the end-to-end machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. This involves selecting appropriate algorithms, optimizing model performance, and ensuring scalability and efficiency. The Senior Machine Learning Engineer will collaborate closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into technical solutions. You will also be involved in feature engineering, hyperparameter tuning, and model interpretability. Staying at the forefront of advancements in machine learning and deep learning research will be crucial, applying new techniques to enhance existing solutions and explore novel applications. This role requires strong skills in data manipulation, feature selection, and model validation. You will contribute to the development of robust MLOps pipelines for continuous integration, deployment, and monitoring of models.
Essential qualifications include a Master's degree or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field. A minimum of 6 years of professional experience in machine learning engineering or data science, with a strong focus on building and deploying ML models in production environments, is required. Proven expertise in Python and popular ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras is mandatory. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Strong understanding of algorithms, data structures, and software engineering best practices is essential. Excellent problem-solving, analytical, and communication skills are required. The ability to work effectively in a collaborative, agile environment and translate complex technical concepts into actionable insights is critical. This is an exciting opportunity to work on challenging AI projects and contribute to the future of predictive analytics.
Key responsibilities include designing and developing cutting-edge machine learning models for various applications, including forecasting, anomaly detection, recommendation systems, and natural language processing. You will be responsible for the end-to-end machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. This involves selecting appropriate algorithms, optimizing model performance, and ensuring scalability and efficiency. The Senior Machine Learning Engineer will collaborate closely with data scientists, software engineers, and business stakeholders to understand requirements and translate them into technical solutions. You will also be involved in feature engineering, hyperparameter tuning, and model interpretability. Staying at the forefront of advancements in machine learning and deep learning research will be crucial, applying new techniques to enhance existing solutions and explore novel applications. This role requires strong skills in data manipulation, feature selection, and model validation. You will contribute to the development of robust MLOps pipelines for continuous integration, deployment, and monitoring of models.
Essential qualifications include a Master's degree or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field. A minimum of 6 years of professional experience in machine learning engineering or data science, with a strong focus on building and deploying ML models in production environments, is required. Proven expertise in Python and popular ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras is mandatory. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Strong understanding of algorithms, data structures, and software engineering best practices is essential. Excellent problem-solving, analytical, and communication skills are required. The ability to work effectively in a collaborative, agile environment and translate complex technical concepts into actionable insights is critical. This is an exciting opportunity to work on challenging AI projects and contribute to the future of predictive analytics.
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4
Remote Senior Data Scientist - Predictive Analytics
80008 Manama, Capital
BHD130000 Annually
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Our client is seeking a highly analytical and experienced Remote Senior Data Scientist to join their innovative analytics team. This fully remote position will empower you to leverage advanced statistical modeling, machine learning techniques, and big data technologies to uncover insights and drive strategic decision-making. You will play a pivotal role in developing predictive models that forecast customer behavior, market trends, and operational efficiencies, contributing directly to business growth and performance.
Key Responsibilities:
Required Qualifications:
This is an exciting opportunity to contribute cutting-edge data science expertise to a leading insurance firm from the convenience of your home.
Key Responsibilities:
- Design, develop, and deploy advanced machine learning models for predictive analytics, forecasting, and classification tasks.
- Extract, clean, and transform large, complex datasets from various sources to prepare them for analysis.
- Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Develop and implement robust data pipelines and validation strategies for model performance monitoring.
- Conduct exploratory data analysis to identify patterns, trends, and opportunities for business improvement.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's technical growth.
- Develop A/B testing frameworks and analyze experiment results to inform product and strategy decisions.
- Contribute to the company's data strategy and infrastructure development.
Required Qualifications:
- Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in data science or a related analytical role, with a focus on predictive modeling.
- Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong experience with SQL and working with large datasets in a data warehousing environment.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication and presentation skills, with the ability to articulate technical concepts to diverse audiences.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Must have a reliable internet connection and a suitable remote work environment.
This is an exciting opportunity to contribute cutting-edge data science expertise to a leading insurance firm from the convenience of your home.
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5
Senior AI/ML Engineer - Predictive Analytics
1045 Northern, Northern
BHD100000 Annually
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Company : WhatJobs
Location : Shakhura, Northern, BH
Job Category : AI & Emerging Technologies
Our client is a leader in leveraging artificial intelligence and machine learning to drive business innovation, and we are seeking a Senior AI/ML Engineer specializing in predictive analytics. This role offers an exciting opportunity to design, build, and deploy sophisticated machine learning models that provide actionable insights and drive significant business impact. The ideal candidate will have a strong foundation in statistical modeling, deep learning, and experience applying AI/ML techniques to solve complex real-world problems.
As a Senior AI/ML Engineer, you will be instrumental in developing predictive models for various applications, such as customer behavior forecasting, risk assessment, demand prediction, and anomaly detection. You will be involved in the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, deployment, and ongoing monitoring. This position requires a blend of strong theoretical knowledge and practical implementation skills, along with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.
Key responsibilities include:
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 5 years of professional experience in AI/ML engineering. Proven experience in building and deploying predictive models in a production environment is essential. Strong programming skills in Python are required, along with expertise in ML frameworks and libraries. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary. Familiarity with MLOps principles and best practices is a significant plus. This role requires a strategic thinker with a passion for data-driven decision-making and a commitment to advancing the application of AI.
Location : Shakhura, Northern, BH
Job Category : AI & Emerging Technologies
Our client is a leader in leveraging artificial intelligence and machine learning to drive business innovation, and we are seeking a Senior AI/ML Engineer specializing in predictive analytics. This role offers an exciting opportunity to design, build, and deploy sophisticated machine learning models that provide actionable insights and drive significant business impact. The ideal candidate will have a strong foundation in statistical modeling, deep learning, and experience applying AI/ML techniques to solve complex real-world problems.
As a Senior AI/ML Engineer, you will be instrumental in developing predictive models for various applications, such as customer behavior forecasting, risk assessment, demand prediction, and anomaly detection. You will be involved in the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, deployment, and ongoing monitoring. This position requires a blend of strong theoretical knowledge and practical implementation skills, along with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.
Key responsibilities include:
- Designing, developing, and implementing advanced machine learning models for predictive analytics using Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Performing data exploration, feature engineering, and data preprocessing to prepare datasets for model training.
- Evaluating model performance using various metrics and optimizing models for accuracy, efficiency, and scalability.
- Deploying machine learning models into production environments and monitoring their performance over time.
- Collaborating with data engineers, software developers, and domain experts to integrate ML solutions into business processes.
- Staying abreast of the latest research and advancements in AI/ML, particularly in predictive modeling and deep learning.
- Conducting A/B tests and experiments to validate model effectiveness and impact.
- Developing and maintaining robust data pipelines for model training and inference.
- Communicating technical findings, insights, and recommendations to stakeholders through clear visualizations and presentations.
- Mentoring junior engineers and contributing to the team's technical growth.
- Researching and applying new AI techniques and algorithms to solve challenging business problems.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 5 years of professional experience in AI/ML engineering. Proven experience in building and deploying predictive models in a production environment is essential. Strong programming skills in Python are required, along with expertise in ML frameworks and libraries. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Excellent analytical, problem-solving, and communication skills are necessary. Familiarity with MLOps principles and best practices is a significant plus. This role requires a strategic thinker with a passion for data-driven decision-making and a commitment to advancing the application of AI.
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Senior AI/ML Engineer - Predictive Analytics
121 Bilad Al Qadeem, Capital
BHD130000 Annually
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Our client, a rapidly growing technology firm specializing in AI-driven solutions, is looking for a Senior AI/ML Engineer to join their innovative team in **Salmabad, Northern, BH**. This challenging role will involve the design, development, and deployment of cutting-edge machine learning models for predictive analytics across various industries. The ideal candidate will have a strong background in statistical modeling, data science, and deep learning frameworks. You will be responsible for data preprocessing, feature engineering, model training, validation, and deployment. Key responsibilities include collaborating with data scientists and software engineers to build scalable AI solutions, conducting research into new ML algorithms and techniques, and optimizing model performance. You will also contribute to the ethical development and responsible use of AI technologies. This position requires a Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, along with a minimum of 5 years of experience in machine learning engineering. Proficiency in Python, R, and ML libraries such as TensorFlow, PyTorch, or scikit-learn is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. Excellent analytical, problem-solving, and communication skills are paramount. Join us and shape the future with advanced AI.
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7
Senior AI/ML Engineer, Predictive Analytics
505 Saar, Northern
BHD90000 Annually
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Our client, a forward-thinking technology firm at the forefront of AI innovation, is seeking a highly skilled Senior AI/ML Engineer to lead the development of advanced predictive analytics solutions. This role is critical in harnessing the power of data to build sophisticated machine learning models that drive strategic decision-making and unlock new business opportunities. The ideal candidate will have a strong foundation in computer science, mathematics, and statistical modeling, coupled with hands-on experience in developing, deploying, and optimizing AI/ML algorithms. Responsibilities include designing end-to-end ML pipelines, collaborating with data scientists and software engineers, and staying ahead of the curve in emerging AI technologies.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement robust machine learning models and algorithms for predictive analytics, classification, regression, and other AI tasks.
- Build and maintain scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
- Collaborate with data scientists and business stakeholders to understand requirements and translate them into AI/ML solutions.
- Optimize model performance, accuracy, and efficiency through rigorous testing and validation.
- Stay abreast of the latest research and advancements in AI, machine learning, deep learning, and related fields.
- Write clean, well-documented, and efficient code in Python or other relevant programming languages.
- Utilize cloud platforms (e.g., AWS, Azure, GCP) for ML model development and deployment.
- Contribute to the development of AI strategy and roadmaps for the organization.
- Mentor junior engineers and share knowledge within the team.
- Ensure ethical considerations and responsible AI practices are integrated into all development processes.
- Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in developing and deploying machine learning models in a production environment.
- Strong programming skills in Python, with expertise in ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Solid understanding of statistical modeling, algorithms, and data structures.
- Experience with MLOps practices and tools for model deployment and monitoring.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.
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8
Senior AI/ML Engineer - Predictive Analytics
325 Seef, Capital
BHD110000 Annually
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Our client, a forward-thinking technology firm, is seeking a highly skilled Senior AI/ML Engineer to lead the development and deployment of advanced predictive analytics solutions. This pivotal role, focusing on emerging technologies, will be instrumental in leveraging machine learning algorithms and artificial intelligence techniques to drive data-driven insights and business outcomes. The engineer will work on complex datasets, design robust models, and collaborate with product teams to integrate AI capabilities into client applications. This is a remote position, allowing for flexible work arrangements. Key responsibilities include:
- Designing, developing, and implementing state-of-the-art machine learning models for predictive analytics, classification, regression, and forecasting tasks.
- Utilizing Python, R, and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) for model development and implementation.
- Working with large-scale datasets, performing data preprocessing, feature engineering, and model evaluation.
- Deploying machine learning models into production environments, ensuring scalability, reliability, and performance.
- Collaborating with data scientists, software engineers, and business analysts to understand requirements and translate them into technical solutions.
- Researching and evaluating new AI and machine learning algorithms and technologies to identify opportunities for innovation.
- Optimizing model performance and conducting A/B testing for continuous improvement.
- Developing and maintaining documentation for models, code, and processes.
- Staying current with the latest advancements in AI, machine learning, deep learning, and data science.
- Contributing to the architectural design of AI/ML systems and platforms.
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