Data Science Intern
Posted 6 days ago
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- 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.
Graduate Trainee - Data Science
Posted today
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Key Responsibilities:
- Assist senior data scientists in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement basic machine learning models under guidance.
- Support the development of data visualizations and reports to communicate findings.
- Learn and apply statistical methods and programming languages (e.g., Python, R) for data analysis.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data processes, methodologies, and findings.
- Gain exposure to various data science tools and technologies.
- Complete assigned training modules and projects effectively.
- Collaborate with team members to achieve project milestones.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong academic record with a solid foundation in statistical concepts and programming.
- Proficiency in at least one programming language such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) is a plus.
- Basic understanding of machine learning concepts is advantageous.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good communication and teamwork skills.
- Eagerness to learn and a proactive attitude towards professional development.
- Must be available to work on-site at our **Busaiteen, Muharraq, BH** office.
Junior Data Science Apprentice
Posted 14 days ago
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Job Description
Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis to identify trends and patterns.
- Create data visualizations to communicate findings effectively.
- Contribute to the documentation of data science projects and methodologies.
- Learn and apply various statistical and analytical techniques.
- Participate in team meetings and knowledge-sharing sessions.
- Adhere to data privacy and security protocols.
- Develop proficiency in data science programming languages and tools.
- Gain exposure to different data platforms and databases.
- Actively seek feedback and opportunities for skill development.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Demonstrated interest and foundational knowledge in data analysis and statistics.
- Familiarity with programming concepts and basic proficiency in at least one programming language such as Python or R.
- Strong analytical and problem-solving abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Excellent communication skills, both written and verbal, for remote collaboration.
- Self-motivated and able to work independently with guidance.
- A genuine passion for data and its potential to drive business decisions.
- Ability to commit to the full duration of the apprenticeship program.
Graduate Trainee - Data Science
Posted 17 days ago
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Job Description
Program Highlights:
- Work on diverse data science projects across different business units.
- Develop proficiency in data analysis, machine learning algorithms, and data visualization techniques.
- Learn to use industry-standard tools and programming languages such as Python, R, SQL, and data visualization libraries.
- Collaborate with senior data scientists and cross-functional teams.
- Gain hands-on experience in data wrangling, feature engineering, model building, and performance evaluation.
- Receive mentorship and guidance from experienced professionals in the field.
- Participate in workshops, training sessions, and knowledge-sharing forums.
- Contribute to actionable insights that drive business decisions.
- Develop strong problem-solving and critical thinking skills.
- Build a professional network within a leading organization.
This is a fully remote program, providing the flexibility to learn and grow from anywhere. We are seeking candidates who are highly motivated, possess excellent analytical skills, and have a genuine passion for data and technology. A bachelor's or master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline is required. Prior internship or project experience in data analysis or programming is a plus. You should have a strong aptitude for learning new technologies and methodologies. Excellent communication and teamwork skills are essential for success in this remote setting. Our client is committed to fostering a supportive and inclusive learning environment. This program offers a fantastic pathway to a successful career in data science, providing the skills and experience necessary to excel in this in-demand field. We encourage applications from candidates who are eager to make a significant impact and contribute to innovation.
Graduate Trainee - Data Science
Posted 19 days ago
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Job Description
- Assist in data collection, cleaning, and preprocessing tasks.
- Perform exploratory data analysis to identify trends and patterns.
- Develop data visualizations to communicate findings effectively.
- Support the development and validation of predictive models.
- Contribute to the implementation of data-driven solutions.
- Collaborate with senior data scientists and cross-functional teams.
- Research and apply new data science techniques and tools.
- Document methodologies and results of analyses.
- Assist in the preparation of reports and presentations.
- Learn and adhere to data governance and best practices.
- Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methodologies.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic knowledge of machine learning algorithms and concepts.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
- Eagerness to learn and adapt to new technologies.
Graduate Trainee - Data Science (Remote)
Posted 3 days ago
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Graduate Research Assistant - Data Science
Posted 4 days ago
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Job Description
Responsibilities will include assisting senior researchers in designing and executing data collection strategies. Performing data cleaning, preprocessing, and exploratory data analysis on large and complex datasets. Developing, testing, and implementing statistical models and machine learning algorithms. Visualizing data and research findings using various tools and techniques. Contributing to the writing of research papers, reports, and presentations. Collaborating with interdisciplinary research teams, participating in brainstorming sessions, and offering data-driven insights. Maintaining meticulous records of research activities, methodologies, and results. Staying abreast of the latest advancements in data science, machine learning, and relevant research fields. Supporting the dissemination of research findings through academic channels.
The ideal candidates will have recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. Demonstrated experience with programming languages such as Python or R, including relevant libraries for data analysis and machine learning (e.g., Pandas, NumPy, Scikit-learn). Strong understanding of statistical concepts and machine learning algorithms. Excellent analytical, critical thinking, and problem-solving skills. Proven ability to work independently, manage multiple tasks, and meet deadlines in a remote setting. Effective written and verbal communication skills, with the ability to articulate complex technical information clearly. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. This is a fully remote position, requiring dedication, self-discipline, and a proactive approach to research and development. You will be an integral part of a collaborative research community, contributing to significant advancements in your field.
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Data Science Graduate Program Participant
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Graduate Trainee - Data Science - Remote
Posted 18 days ago
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Responsibilities:
- Assist in data collection, cleaning, and preprocessing.
- Perform exploratory data analysis to identify patterns and trends.
- Support the development and testing of machine learning models.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply various data science techniques and tools.
- Contribute to documentation of data analysis processes and findings.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in evaluating the performance of data models.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering).
- Strong understanding of statistical concepts and methods.
- Familiarity with programming languages such as Python or R.
- Basic knowledge of machine learning algorithms and libraries (e.g., Scikit-learn, TensorFlow).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote environment.
- A genuine interest in data science and its applications.