4 Junior Data Scientist AI Machine Learning jobs in whatjobs
Junior Data Scientist - AI/Machine Learning
Posted 11 days ago
Job Viewed
Job Description
Our client is actively seeking enthusiastic and talented Junior Data Scientists for a fully remote internship program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates or individuals early in their careers to gain hands-on experience in a cutting-edge field. You will work alongside experienced data scientists, contributing to real-world projects that leverage advanced analytical techniques to extract insights and build predictive models. The program is designed to provide comprehensive training and mentorship, fostering rapid professional growth within a dynamic, supportive, and entirely virtual environment.
Key Responsibilities:
Location: Nyeri, Nyeri, KE
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct exploratory data analysis to identify patterns and trends.
- Help in the evaluation and validation of model performance.
- Collaborate with the data science team on various research and development projects.
- Learn and apply various data science tools and programming languages (e.g., Python, R).
- Document methodologies, code, and findings clearly and concisely.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Contribute to the development of data visualizations to communicate insights effectively.
- Stay updated on emerging trends and best practices in AI/ML and data science.
Location: Nyeri, Nyeri, KE
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - AI & Machine Learning
Posted 21 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and bright Junior Data Scientist to join their innovative team. This is an exceptional opportunity for a recent graduate or early-career professional looking to gain hands-on experience in Artificial Intelligence and Machine Learning within a supportive, fully remote environment. You will work alongside experienced data scientists and engineers, contributing to the development of cutting-edge AI solutions. This internship is designed to provide a comprehensive learning experience, covering data preprocessing, model development, evaluation, and deployment.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets for AI/ML model training.
- Support the development and implementation of machine learning algorithms and models under the guidance of senior team members.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Perform feature engineering and selection to optimize model performance.
- Evaluate model performance using various metrics and provide feedback for improvements.
- Assist in the documentation of data processing pipelines, model architectures, and experimental results.
- Collaborate with the team on coding tasks, including writing Python scripts for data manipulation and model building.
- Participate in team meetings, brainstorming sessions, and code reviews.
- Learn and apply new AI/ML techniques and tools as required by project needs.
- Contribute to the creation of data visualizations and reports to communicate findings to stakeholders.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundational understanding of machine learning concepts, algorithms (e.g., regression, classification, clustering), and statistical principles.
- Proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Familiarity with SQL for database querying.
- Excellent analytical thinking and problem-solving abilities.
- Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively in a fully remote team setting.
- A portfolio of personal data science projects or contributions to open-source projects is a plus.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist (AI & Machine Learning)
Posted 8 days ago
Job Viewed
Job Description
Our client is looking for a motivated and bright Junior Data Scientist with a keen interest in Artificial Intelligence and Machine Learning to join their innovative team. This is an excellent opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience in a fully remote environment. You will work alongside experienced data scientists and engineers, contributing to the development and deployment of cutting-edge AI models. The ideal candidate possesses a strong foundation in statistics, programming, and a passion for uncovering insights from data. This internship offers invaluable exposure to real-world data challenges and the chance to build a robust portfolio.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Support the development and implementation of machine learning models under supervision.
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Help in the evaluation and tuning of model performance.
- Collaborate with senior data scientists on feature engineering and model selection.
- Contribute to the documentation of data science processes and findings.
- Assist in the visualization of data and model results.
- Participate in team meetings and contribute to brainstorming sessions.
- Learn and apply new techniques and tools in data science and AI.
- Support the deployment of models into production environments as needed.
- Ensure code quality and adherence to best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data science libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities, especially in a remote setting.
- Eagerness to learn and a proactive attitude towards tackling new challenges.
- Demonstrated ability to work independently and manage time effectively in a remote setup.
- Previous project experience or coursework in AI/ML is highly desirable.
- This is a full-time internship position, conducted entirely remotely.
This advertiser has chosen not to accept applicants from your region.
2
Junior Data Scientist - AI & Machine Learning
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and aspiring Junior Data Scientist to contribute to cutting-edge projects in Artificial Intelligence and Machine Learning. This is a fully remote internship, offering a valuable opportunity to gain hands-on experience in a fast-paced, innovative environment. You will work alongside senior data scientists and engineers, assisting in the development, training, and deployment of ML models. The ideal candidate will have a strong academic background in a quantitative field and a solid understanding of statistical concepts, programming, and data analysis. You should be eager to learn and passionate about leveraging data to solve complex problems. This internship will provide exposure to a wide range of techniques, including supervised and unsupervised learning, natural language processing, and computer vision. You will be involved in data cleaning, feature engineering, model evaluation, and interpretation of results. Collaboration is key, and you will have the opportunity to work with cross-functional teams to understand business requirements and translate them into data-driven solutions. Excellent communication skills are essential, as you will be expected to present findings and insights clearly. This is an exceptional chance to build your portfolio and kick-start your career in the exciting field of AI and ML. Responsibilities include: Assisting in the collection, cleaning, and preprocessing of large datasets.
Supporting the development and implementation of machine learning algorithms.
Conducting exploratory data analysis to identify patterns and insights.
Helping to train and evaluate machine learning models.
Assisting in the visualization of data and model results.
Collaborating with senior data scientists on model optimization and fine-tuning.
Researching and applying new ML techniques and technologies.
Documenting methodologies, code, and findings.
Participating in team meetings and contributing to project discussions.
Learning and applying best practices in data science and ML development.
Qualifications: Bachelor's degree (or nearing completion) in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Strong foundation in statistics, probability, and linear algebra.
Proficiency in Python or R for data analysis and machine learning.
Familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of database concepts and SQL.
Eagerness to learn and develop skills in AI and Machine Learning.
Good problem-solving abilities and analytical thinking.
Effective communication skills, both written and verbal.
Ability to work independently and collaboratively in a remote setting.
A strong interest in developing a career in data science. This role is based in **Naivasha, Nakuru, KE** but is entirely remote.
Supporting the development and implementation of machine learning algorithms.
Conducting exploratory data analysis to identify patterns and insights.
Helping to train and evaluate machine learning models.
Assisting in the visualization of data and model results.
Collaborating with senior data scientists on model optimization and fine-tuning.
Researching and applying new ML techniques and technologies.
Documenting methodologies, code, and findings.
Participating in team meetings and contributing to project discussions.
Learning and applying best practices in data science and ML development.
Qualifications: Bachelor's degree (or nearing completion) in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
Strong foundation in statistics, probability, and linear algebra.
Proficiency in Python or R for data analysis and machine learning.
Familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of database concepts and SQL.
Eagerness to learn and develop skills in AI and Machine Learning.
Good problem-solving abilities and analytical thinking.
Effective communication skills, both written and verbal.
Ability to work independently and collaboratively in a remote setting.
A strong interest in developing a career in data science. This role is based in **Naivasha, Nakuru, KE** but is entirely remote.
This advertiser has chosen not to accept applicants from your region.
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