What Jobs are available for Predictive Modeling in Bahrain?
Showing 959 Predictive Modeling jobs in Bahrain
Remote AI/ML Engineer - Predictive Modeling
1000 Zallaq, Southern
BHD150000 Annually
WhatJobs
Posted 23 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote AI/ML Engineer to join their cutting-edge AI & Emerging Technologies division. This is a fully remote position, offering the opportunity to work on groundbreaking projects that leverage artificial intelligence and machine learning to solve complex problems. You will be responsible for designing, developing, and deploying advanced predictive models, contributing to the development of intelligent systems and data-driven solutions. The ideal candidate possesses a strong foundation in machine learning algorithms, statistical modeling, and programming, with a passion for pushing the boundaries of AI.
Key Responsibilities:
Qualifications:
This fully remote role, supporting initiatives relevant to the Zallaq, Southern, BH region and beyond, offers an exciting opportunity to shape the future of AI. Join a forward-thinking team at the forefront of technological innovation.
Key Responsibilities:
- Design, develop, and implement machine learning algorithms and statistical models for predictive analysis.
- Process, clean, and transform large datasets for model training and evaluation.
- Build and optimize scalable machine learning pipelines for real-time applications.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver AI solutions.
- Evaluate model performance using appropriate metrics and conduct A/B testing.
- Deploy machine learning models into production environments and monitor their performance.
- Stay current with the latest research, trends, and technologies in AI, machine learning, and deep learning.
- Contribute to the development of intellectual property and technical documentation.
- Mentor junior engineers and share knowledge within the team.
- Troubleshoot and debug complex ML systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML development, with a strong focus on predictive modeling.
- Proficiency in programming languages such as Python, R, or Scala.
- Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and manage projects in a remote setting.
- Experience with MLOps principles and practices is highly desirable.
This fully remote role, supporting initiatives relevant to the Zallaq, Southern, BH region and beyond, offers an exciting opportunity to shape the future of AI. Join a forward-thinking team at the forefront of technological innovation.
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0
Senior Data Science Apprentice - Machine Learning Applications
80123 Saar, Northern
BHD70000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a rapidly growing technology firm specializing in AI-driven solutions, is seeking motivated individuals for a Senior Data Science Apprenticeship position. This is a fully remote, intensive program designed to fast-track talented individuals into advanced roles within data science and machine learning. As a Senior Apprentice, you will work alongside seasoned data scientists on real-world projects, gaining hands-on experience in data analysis, model development, and deployment. You will be mentored extensively, with a curriculum focused on advanced machine learning techniques, statistical modeling, and big data technologies. The ideal candidate has a strong foundational understanding of programming (preferably Python), mathematics, and statistics, coupled with a passion for learning and problem-solving in a dynamic, remote setting.
Program Highlights:
Program Highlights:
- Duration: 12-18 months, with the potential for conversion to a full-time Data Scientist role upon successful completion.
- Focus Areas: Supervised and unsupervised learning, deep learning, natural language processing (NLP), time series analysis, and MLOps.
- Projects: Contribute to diverse projects involving predictive modeling, customer analytics, fraud detection, recommendation systems, and more.
- Mentorship: Receive dedicated guidance from experienced Data Scientists and Machine Learning Engineers.
- Training: Access to comprehensive online courses, workshops, and learning resources.
- Remote Work: Fully remote structure allows for flexible working arrangements.
- Assist in data collection, cleaning, and preprocessing from various sources.
- Develop, train, and evaluate machine learning models under the guidance of senior staff.
- Implement and optimize algorithms for prediction, classification, and clustering.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Collaborate with engineering and product teams to understand data needs and deliver insights.
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Document methodologies, findings, and code thoroughly.
- Stay updated on the latest advancements in data science and machine learning.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Demonstrated programming proficiency, ideally in Python, and familiarity with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Strong understanding of fundamental statistical concepts and machine learning algorithms.
- Excellent analytical and problem-solving skills.
- Proactive learner with a strong desire to master advanced data science techniques.
- Effective communication and collaboration skills, suitable for a remote work environment.
- Ability to manage time effectively and meet project deadlines.
- A portfolio of personal projects or contributions to open-source projects is a strong plus.
- Prior internship or entry-level experience in data analysis or software development is beneficial.
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1
Junior Data Science Apprentice - Machine Learning Focus
501 Northern, Northern
BHD25 Hourly
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is offering a unique opportunity for aspiring data scientists to kick-start their careers through a fully remote apprenticeship program. This is an exceptional entry-level position designed for individuals with a strong foundational understanding of mathematics and a passion for learning machine learning and data analysis techniques. You will be mentored by experienced data scientists and will contribute to real-world projects, gaining hands-on experience in a supportive, remote-first environment. The program focuses on developing practical skills in data manipulation, model building, and interpretation.
Program Highlights:
Requirements:
Program Highlights:
- Gain practical experience in data cleaning, feature engineering, and exploratory data analysis using industry-standard tools.
- Learn and apply various machine learning algorithms, including supervised and unsupervised learning techniques.
- Assist in the development and evaluation of predictive models for various business applications.
- Collaborate with cross-functional teams in a remote setting, contributing to project goals.
- Develop proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Participate in regular training sessions and workshops led by senior data scientists.
- Learn to visualize data and communicate findings effectively through reports and presentations.
- Understand the principles of data governance and ethical data usage.
Requirements:
- Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and mathematical principles.
- Demonstrated interest in data science and machine learning, evidenced by personal projects or coursework.
- Basic programming skills in Python or R.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Self-motivated, eager to learn, and capable of working independently.
- Must be able to commit to the full apprenticeship duration.
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2
Data Science Intern
2005 Busaiteen, Muharraq
BHD20 Hourly
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is seeking an ambitious and analytically minded Data Science Intern to join our fully remote team. This internship provides an unparalleled opportunity for students or recent graduates to gain hands-on experience in a fast-paced, innovative environment. You will work alongside experienced data scientists on real-world projects, applying your academic knowledge to solve complex business challenges. This role is ideal for someone looking to kick-start their career in data science, machine learning, and artificial intelligence. You will be contributing to meaningful projects, gaining exposure to industry-standard tools and methodologies, and developing valuable skills. As a Data Science Intern, your responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Supporting the development and implementation of machine learning models under the guidance of senior data scientists.
- Contributing to the visualization of data and findings using tools like Matplotlib, Seaborn, or Tableau.
- Helping to document methodologies, code, and results.
- Participating in team meetings and presenting findings or progress updates.
- Researching and learning new data science techniques and tools.
- Collaborating with other interns and team members on shared projects.
- Assisting in the testing and validation of data models and algorithms.
- Gaining exposure to cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude.
- Experience with SQL is a plus.
- Familiarity with version control systems like Git is beneficial.
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3
Data Science Apprentice
702 Tubli
BHD2500 Monthly
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client, a forward-thinking technology firm renowned for its innovative data solutions, is offering a unique opportunity for aspiring individuals to join their team as a Data Science Apprentice. This is a fully remote, fully-funded apprenticeship program designed to provide comprehensive training and hands-on experience in the field of data science. You will learn from industry experts and contribute to real-world data projects from the comfort of your home.
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
- Assist in data collection, cleaning, and preprocessing using various tools and techniques.
- Learn and apply statistical methods for data analysis and interpretation.
- Gain hands-on experience with machine learning algorithms and their implementation.
- Develop data visualization skills to communicate findings effectively.
- Support senior data scientists in developing predictive models and data-driven solutions.
- Participate in team meetings and contribute to project discussions.
- Understand and adhere to data privacy and security best practices.
- Develop proficiency in programming languages commonly used in data science, such as Python and R.
- Explore various data science tools and platforms.
- Receive mentorship and guidance from experienced data science professionals.
- A strong academic background, ideally with a degree or strong performance in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
- A genuine passion for data and a keen analytical mindset.
- Excellent problem-solving skills and attention to detail.
- Basic understanding of programming concepts; experience with Python or R is a plus but not mandatory.
- Strong communication skills, both written and verbal.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Must be legally eligible to work in the designated region (or capable of working remotely from an approved location).
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4
Data Science Apprentice
555 Riffa, Southern
BHD18 Hourly
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client is offering a fantastic opportunity for an aspiring Data Scientist to join their program as a Data Science Apprentice. This apprenticeship is designed for individuals who are passionate about data and eager to learn and grow in a practical, hands-on environment. You will work alongside experienced data scientists, contributing to real-world projects and gaining invaluable industry experience. The program provides comprehensive training in data analysis, statistical modeling, machine learning, and data visualization techniques.
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
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5
Graduate Trainee - Data Science
5005 Galali
BHD2500 Monthly
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is launching an exciting new initiative to nurture emerging talent and is seeking highly motivated and intellectually curious Graduate Trainees in Data Science. This is a fully remote, intensive internship program designed to provide a comprehensive learning experience and real-world project exposure. You will work closely with our senior data scientists on cutting-edge projects, gaining hands-on experience in data collection, cleaning, analysis, visualization, and predictive modeling. Responsibilities will include assisting in the development of machine learning models, performing statistical analysis, and contributing to the creation of insightful reports and dashboards. You will learn to leverage various programming languages such as Python or R, along with data manipulation libraries and machine learning frameworks. The program emphasizes practical application, problem-solving, and collaboration. You will be exposed to diverse datasets and business challenges, learning to extract meaningful insights and communicate findings effectively. Successful trainees will have opportunities to present their work to key stakeholders. We are looking for candidates who have recently graduated or are in their final year of a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A strong academic record, demonstrable passion for data science, and foundational knowledge of statistical concepts and programming are essential. Familiarity with SQL and basic machine learning algorithms is a plus. Excellent analytical, problem-solving, and communication skills are a must. This remote internship offers a unique chance to kickstart your career in data science, learn from industry experts, and contribute to impactful projects from anywhere, gaining invaluable skills and experience.
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6
Graduate Trainee - Data Science
BH8-8888 Galali
BHD30000 Annually
WhatJobs Direct
Posted 1 day ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm specializing in data analytics and artificial intelligence, is offering a fully remote Graduate Trainee position in Data Science. This is an exceptional opportunity for recent graduates to gain hands-on experience in a dynamic and innovative environment. You will work alongside experienced data scientists, contributing to real-world projects involving data cleaning, analysis, visualization, and model development. The program is designed to provide comprehensive training in various data science tools and techniques, including Python, R, SQL, and machine learning libraries. Successful candidates will demonstrate a strong analytical aptitude, a passion for data, and a keen desire to learn and grow. This remote role requires self-discipline, strong communication skills, and the ability to collaborate effectively in a virtual team setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and pre-processing tasks.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop data visualizations to communicate findings effectively.
- Support the development and implementation of machine learning models under guidance.
- Write and optimize SQL queries for data extraction and manipulation.
- Contribute to the documentation of data science processes and findings.
- Participate in team meetings and present project updates.
- Learn and apply various data science methodologies and tools.
- Assist in A/B testing and experiment design.
- Adhere to data privacy and security protocols.
- Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with SQL and database concepts.
- Basic understanding of machine learning concepts and algorithms.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Enthusiasm for the field of data science and its applications.
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7
Data Science Graduate Trainee
BH141 Seef, Capital
BHD35000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for bright and ambitious Graduate Trainees to join their pioneering Data Science team. This is a fully remote, intensive training program designed to equip recent graduates with the skills and experience needed to excel in the field of data science. You will work on real-world projects, mentored by senior data scientists, and gain hands-on experience with data analysis, machine learning, statistical modeling, and data visualization. Responsibilities include data cleaning and preprocessing, developing predictive models, interpreting complex datasets, and communicating findings to technical and non-technical stakeholders. You will have the opportunity to learn and apply various programming languages (e.g., Python, R) and data science libraries. This program is ideal for individuals with a strong quantitative background and a passion for uncovering insights from data. We are seeking candidates who are eager to learn, possess strong problem-solving skills, and are comfortable working independently in a remote environment. A Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline is required. Prior exposure to data analysis tools or programming is a plus, but not essential as comprehensive training will be provided. You will be part of a supportive and collaborative virtual team, contributing to impactful data-driven initiatives. This is a fantastic launchpad for a career in data science, offering exposure to cutting-edge techniques and technologies. The position is based remotely and offers significant growth potential within the organization. If you are a motivated self-starter with a knack for numbers and a desire to innovate, this graduate program is the perfect fit for you. Join us and help us drive decision-making through data.
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8
Data Science Graduate Trainee
2401 Askar, Southern
BHD50000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for ambitious and bright recent graduates to join their innovative Data Science Graduate Trainee program. This is a fully remote opportunity designed to provide exceptional learning and development in the field of data analysis and predictive modeling. As a trainee, you will be immersed in real-world projects, working alongside experienced data scientists to extract valuable insights from complex datasets. You will contribute to the development of data-driven strategies that inform business decisions across various departments.
Your responsibilities will include data cleaning, preprocessing, feature engineering, and exploratory data analysis. You will gain hands-on experience with statistical modeling, machine learning algorithms, and data visualization techniques. The program emphasizes a learning-by-doing approach, where you will be challenged to apply theoretical knowledge to practical problems. You will learn to use industry-standard tools and programming languages such as Python and R, along with relevant libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Mentorship from senior team members will be a core component of this role, ensuring your growth and development.
This role requires a strong analytical mindset, a passion for data, and a desire to continuously learn and adapt. We are seeking individuals who are detail-oriented, possess excellent problem-solving skills, and can communicate technical findings effectively to both technical and non-technical audiences. A degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or Economics is required. While prior internship experience in data science or a related field is beneficial, it is not strictly mandatory. We value intellectual curiosity and a proactive approach to acquiring new skills.
This is an excellent entry point into the exciting world of data science, offering exposure to cutting-edge technologies and methodologies. Being a remote position, you will have the flexibility to work from anywhere, contributing to projects that have a significant impact. We encourage applications from individuals who are eager to make a difference and are motivated by the challenge of uncovering patterns and trends within data. Successful completion of the trainee program may lead to opportunities for full-time employment within the company. We believe in fostering talent from within and providing a supportive environment for aspiring data professionals. Join us and start your career journey in data science from the comfort of your home.
Key Learning Areas & Responsibilities:
Your responsibilities will include data cleaning, preprocessing, feature engineering, and exploratory data analysis. You will gain hands-on experience with statistical modeling, machine learning algorithms, and data visualization techniques. The program emphasizes a learning-by-doing approach, where you will be challenged to apply theoretical knowledge to practical problems. You will learn to use industry-standard tools and programming languages such as Python and R, along with relevant libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Mentorship from senior team members will be a core component of this role, ensuring your growth and development.
This role requires a strong analytical mindset, a passion for data, and a desire to continuously learn and adapt. We are seeking individuals who are detail-oriented, possess excellent problem-solving skills, and can communicate technical findings effectively to both technical and non-technical audiences. A degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or Economics is required. While prior internship experience in data science or a related field is beneficial, it is not strictly mandatory. We value intellectual curiosity and a proactive approach to acquiring new skills.
This is an excellent entry point into the exciting world of data science, offering exposure to cutting-edge technologies and methodologies. Being a remote position, you will have the flexibility to work from anywhere, contributing to projects that have a significant impact. We encourage applications from individuals who are eager to make a difference and are motivated by the challenge of uncovering patterns and trends within data. Successful completion of the trainee program may lead to opportunities for full-time employment within the company. We believe in fostering talent from within and providing a supportive environment for aspiring data professionals. Join us and start your career journey in data science from the comfort of your home.
Key Learning Areas & Responsibilities:
- Data wrangling, cleaning, and preprocessing using Python/R.
- Exploratory Data Analysis (EDA) and statistical analysis.
- Building and evaluating machine learning models (regression, classification, clustering).
- Data visualization to communicate insights effectively.
- Understanding and applying A/B testing principles.
- Collaborating with senior data scientists on project tasks.
- Learning cloud platforms and big data technologies.
- Recent graduate with a Bachelor's or Master's degree in a quantitative discipline.
- Foundational knowledge of statistics and programming (Python or R).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Enthusiasm for data science and continuous learning.
- Ability to work independently and manage time effectively in a remote environment.
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