1 027 Machine Learning Manager jobs in Bahrain
Data Science Intern
Posted 13 days ago
Job Viewed
Job Description
- 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.
Data Science Apprentice
Posted 14 days ago
Job Viewed
Job Description
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).
Data Science Apprentice
Posted 18 days ago
Job Viewed
Job Description
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.
Data Science Graduate Trainee
Posted 1 day ago
Job Viewed
Job Description
Data Science Graduate Trainee
Posted 1 day ago
Job Viewed
Job Description
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.
Graduate Trainee - Data Science
Posted 2 days ago
Job Viewed
Job Description
What You Will Do:
- Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Help in the evaluation and validation of model performance.
- Create data visualizations and reports to communicate findings effectively.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Learn and apply various data science tools and techniques, including statistical analysis and programming languages like Python or R.
- Contribute to documentation of data processes and analytical methodologies.
- Participate in team meetings, brainstorming sessions, and training workshops.
- Gain exposure to different aspects of the data science lifecycle, from data ingestion to model deployment.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- A strong academic record demonstrating proficiency in quantitative analysis.
- Basic understanding of statistical concepts and machine learning principles.
- Familiarity with programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas) and visualization tools is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities, with the capacity to explain technical concepts clearly.
- Self-motivated, eager to learn, and capable of working independently in a remote setting.
- Passion for data and its potential to drive business value.
- Ability to manage time effectively and meet deadlines.
Graduate Data Science Intern
Posted 2 days ago
Job Viewed
Job Description
Key responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of diverse datasets.
- Developing and implementing data analysis scripts and models using Python or R.
- Contributing to the exploration and visualization of data to identify trends and insights.
- Supporting the development and testing of machine learning algorithms.
- Participating in team meetings and collaborating with senior data scientists.
- Documenting methodologies and results effectively.
- Learning and applying best practices in data science and software development.
- Assisting in the preparation of reports and presentations for stakeholders.
The ideal candidate possesses a strong foundation in statistical concepts and programming, with demonstrable experience in at least one major data science language (Python preferred). Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn) is a plus. You should have excellent problem-solving skills, a keen eye for detail, and the ability to work independently and collaboratively in a remote setting. Strong written and verbal communication skills are essential for effectively conveying technical information. This internship is designed to provide a comprehensive learning experience, allowing you to contribute meaningfully while developing your professional skillset. Our client values curiosity, initiative, and a passion for data-driven problem-solving. This fully remote role allows for maximum flexibility and exposure to a global team.
Be The First To Know
About the latest Machine learning manager Jobs in Bahrain !
Graduate Trainee - Data Science
Posted 2 days ago
Job Viewed
Job Description
Junior Data Science Apprentice
Posted 2 days ago
Job Viewed
Job Description
Program Highlights:
- Receive comprehensive training in data manipulation, statistical analysis, and machine learning algorithms.
- Gain practical experience using programming languages such as Python or R.
- Learn to build and deploy predictive models and data-driven solutions.
- Participate in data visualization projects to effectively communicate insights.
- Work on diverse projects to understand different business applications of data science.
- Receive mentorship from senior data scientists to guide your development.
- Develop essential problem-solving and critical thinking skills.
- Build a strong portfolio of data science projects.
- Be part of a collaborative and innovative remote team culture.
Ideal Candidate Profile:
- Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or a strong aptitude for quantitative analysis.
- Demonstrated passion for data and technology.
- Basic understanding of programming concepts (experience with Python or R is a plus).
- Eagerness to learn and a strong work ethic.
- Excellent analytical and problem-solving abilities.
- Good communication skills, comfortable working in a virtual team.
- Ability to dedicate full attention to the apprenticeship program.
- Self-motivated and able to manage time effectively in a remote setting.
Our client is committed to fostering talent and providing a pathway into the exciting world of data science. This fully remote apprenticeship offers a unique blend of learning and practical application, setting you on the path to a successful career in this in-demand field. This is an ideal starting point for individuals passionate about uncovering insights from data.
Data Science Graduate Intern
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and pre-processing for various analytical projects.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Contribute to data visualization efforts to communicate findings effectively.
- Collaborate with senior data scientists on feature engineering and model evaluation.
- Document code, methodologies, and findings clearly and concisely.
- Participate in virtual team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Assist in the preparation of reports and presentations of analytical results.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic knowledge of SQL and database management.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities, comfortable working in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Self-motivated with the ability to work independently and manage tasks effectively.