8 Graduate Data Scientist Machine Learning jobs in whatjobs
Graduate Data Scientist - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is actively seeking bright and ambitious Graduate Data Scientists to join their innovative team. This is a fully remote, intensive internship program designed to provide exceptional learning opportunities and hands-on experience in machine learning and data analytics. You will work on real-world projects, collaborating with experienced data scientists to develop predictive models, analyze large datasets, and derive actionable insights. This internship is an ideal launchpad for a career in data science, offering unparalleled exposure and mentorship in a flexible, remote environment.
Intern Responsibilities:
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Strong foundational knowledge of statistics, probability, and algorithms is required. Proficiency in programming languages such as Python or R, along with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), is essential. Excellent analytical and problem-solving skills are a must. The ability to work independently, manage time effectively, and communicate technical concepts clearly in a remote setting is crucial. Eagerness to learn, a proactive attitude, and a passion for uncovering insights from data will set you apart. This internship offers a unique chance to contribute to impactful projects and build a strong foundation for your data science career.
Intern Responsibilities:
- Assisting senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Developing and implementing machine learning models for tasks such as prediction, classification, and clustering.
- Conducting exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Visualizing data and model results to communicate findings effectively to technical and non-technical audiences.
- Collaborating with engineering teams to integrate models into production systems.
- Contributing to the research and evaluation of new algorithms and techniques.
- Documenting code, methodologies, and project findings.
- Participating in team meetings and knowledge-sharing sessions.
- Learning and applying best practices in data science and software development.
- Seeking feedback and actively engaging in mentorship to enhance skills and understanding.
The ideal candidate will be a recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Strong foundational knowledge of statistics, probability, and algorithms is required. Proficiency in programming languages such as Python or R, along with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), is essential. Excellent analytical and problem-solving skills are a must. The ability to work independently, manage time effectively, and communicate technical concepts clearly in a remote setting is crucial. Eagerness to learn, a proactive attitude, and a passion for uncovering insights from data will set you apart. This internship offers a unique chance to contribute to impactful projects and build a strong foundation for your data science career.
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Graduate Data Scientist - Machine Learning
Posted 6 days ago
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Job Description
Our client is offering an exceptional opportunity for bright and ambitious graduates to join their innovative team as Graduate Data Scientists specializing in Machine Learning. This is a fully remote internship designed to immerse you in the world of data science, where you will contribute to real-world projects, develop predictive models, and gain invaluable experience in analyzing complex datasets. You will work alongside experienced data scientists and engineers, learning cutting-edge techniques and applying them to solve business challenges. Your responsibilities will include data cleaning, feature engineering, model training, and evaluation, all within a collaborative remote environment. This internship is perfect for individuals with a strong quantitative background and a passion for uncovering insights from data. You will have the chance to work with large datasets and contribute to projects that have a tangible impact.
Key Responsibilities:
Qualifications:
This is a premier opportunity for aspiring data scientists to gain practical experience and launch their careers. While the role is fully remote, the company has a significant presence and operational focus in regions such as Meru, Meru, KE .
Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Develop, train, and evaluate machine learning models under supervision.
- Perform exploratory data analysis to identify trends and patterns.
- Collaborate with senior data scientists on model deployment and integration.
- Assist in building data pipelines and automating analytical processes.
- Create visualizations and reports to communicate findings to stakeholders.
- Contribute to research and development of new data science methodologies.
- Participate in team meetings and knowledge-sharing sessions.
- Learn and apply statistical modeling and machine learning algorithms.
- Document code, methodologies, and project findings.
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 understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL for data querying.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities in a virtual setting.
- Ability to work independently and manage tasks effectively in a remote environment.
- A genuine passion for data and a desire to learn and grow in the field.
- Must be legally authorized to work remotely.
This is a premier opportunity for aspiring data scientists to gain practical experience and launch their careers. While the role is fully remote, the company has a significant presence and operational focus in regions such as Meru, Meru, KE .
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning
Posted 7 days ago
Job Viewed
Job Description
Our client is offering an exciting Graduate Data Scientist internship opportunity focused on Machine Learning. This is a fully remote position designed for ambitious recent graduates eager to apply their academic knowledge to real-world data challenges. The intern will work alongside experienced data scientists and engineers, contributing to projects that involve data analysis, model development, and predictive analytics. This internship provides a unique chance to gain hands-on experience in a dynamic, tech-driven environment.
Responsibilities:
Qualifications:
This internship is an excellent stepping stone for aspiring data scientists, offering valuable experience and mentorship in a fully remote setup.
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets for machine learning model training.
- Develop and implement machine learning models under the guidance of senior data scientists.
- Perform exploratory data analysis to identify patterns, trends, and insights.
- Evaluate model performance and suggest improvements.
- Assist in building data visualizations to communicate findings effectively.
- Collaborate with the data science team on various research and development projects.
- Learn and apply new data science techniques and tools.
- Document methodologies, code, and results clearly.
- Participate in team meetings and contribute to discussions on project direction.
- Support the deployment and monitoring of predictive models.
Qualifications:
- Recent graduate with 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 (e.g., regression, classification, clustering).
- Proficiency in programming languages such as Python or R.
- Experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data visualization tools.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- A keen interest in machine learning and artificial intelligence.
- Eagerness to learn and contribute within a collaborative, remote team environment, supporting projects relevant to the Kericho, Kericho, KE region's data initiatives.
This internship is an excellent stepping stone for aspiring data scientists, offering valuable experience and mentorship in a fully remote setup.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist (Machine Learning)
Posted 5 days ago
Job Viewed
Job Description
Our client is offering an exciting opportunity for a recent Graduate Data Scientist to join their innovative, fully remote team. This internship is designed for ambitious individuals eager to apply their academic knowledge to real-world challenges in machine learning and artificial intelligence. You will work alongside experienced data scientists, contributing to the development and implementation of predictive models, data analysis pipelines, and machine learning algorithms. The role involves data cleaning, feature engineering, model training, evaluation, and deployment, all conducted within a virtual collaboration framework. The ideal candidate will have a strong foundation in statistics, mathematics, and computer science, with demonstrable programming skills in Python or R, and familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). As a remote intern, you will have access to online training resources and mentorship, fostering your professional growth. Key responsibilities include assisting in data exploration, contributing to model development, documenting findings and code, and participating in team meetings and brainstorming sessions. This is a hands-on learning experience where you will gain invaluable practical skills in a cutting-edge field. We are looking for a curious, detail-oriented individual with a passion for data and a proactive attitude towards learning. This remote internship supports operations related to the Kericho, Kericho, KE area, offering a chance to gain industry experience from any location. Our client is committed to providing a supportive and educational remote work environment for aspiring data professionals.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning
Posted 13 days ago
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Job Description
We are thrilled to offer a dynamic opportunity for a highly motivated Graduate Data Scientist to join our innovative and fully remote team. This internship is designed for ambitious individuals eager to launch their careers in data science, machine learning, and artificial intelligence. You will gain hands-on experience working on real-world projects, collaborating with experienced data scientists, and contributing to cutting-edge research and development. As a remote-first internship, you'll have the flexibility to work from anywhere in Kenya, using advanced collaboration tools to connect with your team. This role provides an exceptional platform to learn, grow, and make a tangible impact.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of machine learning models under the guidance of senior data scientists.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Assist in the evaluation and validation of model performance using appropriate metrics.
- Contribute to the documentation of data science projects, methodologies, and findings.
- Learn and apply various machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Collaborate with team members on data-driven projects and share findings effectively.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing initiatives.
- Utilize programming languages such as Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Help in building data visualizations to communicate complex insights to stakeholders.
- Gain exposure to cloud computing platforms and MLOps principles.
- Follow best practices in coding, data management, and version control (e.g., Git).
- Recently graduated or are in the final year of a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and machine learning concepts.
- Proficiency in at least one programming language commonly used in data science, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic understanding of machine learning libraries (e.g., Scikit-learn).
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage time effectively in a remote setting.
- Previous exposure to AI/ML projects, either through coursework or personal projects, is a plus.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning
Posted 22 days ago
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Job Description
Our client is excited to offer a unique remote internship opportunity for aspiring Graduate Data Scientists with a strong interest in Machine Learning. This position is perfect for individuals looking to gain practical, hands-on experience in a real-world data science environment while working entirely from home. You will be part of a dynamic team, contributing to impactful projects that leverage data to drive business insights and solutions. This internship is designed to provide comprehensive learning and development, equipping you with valuable skills for a future career in data science.
Responsibilities:
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and pre-processing large datasets from various sources.
- Develop and implement machine learning models under the guidance of experienced mentors.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies in data.
- Create data visualizations and reports to communicate findings effectively to the team.
- Participate in code reviews and contribute to the improvement of data pipelines and algorithms.
- Research and evaluate new machine learning techniques and tools relevant to ongoing projects.
- Assist in the deployment and monitoring of machine learning models.
- Collaborate with team members using virtual communication and project management tools.
- Document methodologies, code, and results thoroughly.
- Engage in learning sessions and discussions to deepen understanding of data science principles and applications.
- Contribute to brainstorming sessions for new project ideas and problem-solving.
- Gain exposure to various aspects of the data science lifecycle, from data acquisition to model interpretation.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Familiarity with machine learning concepts and algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Basic understanding of SQL and database concepts.
- Ability to work independently and manage time effectively in a remote setting.
- Strong problem-solving skills and attention to detail.
- Good communication skills, with the ability to explain technical concepts clearly.
- Enthusiasm for learning and a proactive attitude towards acquiring new skills.
- Previous academic projects or personal projects involving data analysis or machine learning are a plus.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning
Posted 22 days ago
Job Viewed
Job Description
Our client is excited to offer a Graduate Data Scientist position focused on Machine Learning within their fully remote analytics division. This is an exceptional opportunity for a recent graduate to gain practical experience in a cutting-edge field. The successful candidate will work under the guidance of experienced data scientists and machine learning engineers on real-world projects. Responsibilities will include data cleaning, exploratory data analysis, feature engineering, model training and evaluation, and contributing to the development of machine learning algorithms. You will gain exposure to various machine learning techniques, including supervised and unsupervised learning, deep learning, and natural language processing. Proficiency in programming languages such as Python or R, and familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. A strong mathematical and statistical background is required. This is a remote-first internship, demanding proactive communication, enthusiasm for learning, and the ability to collaborate effectively within a virtual team. Candidates should possess a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. While no prior professional experience is required, demonstrated passion for data science through personal projects, academic coursework, or relevant internships is highly valued. The Kitale, Trans-Nzoia, KE region represents a developing area for tech adoption, and this role aims to build local talent. Our client is dedicated to mentorship and providing a supportive environment for emerging talent, with the potential for future full-time employment based on performance.
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Graduate Data Scientist - Machine Learning
Posted 17 days ago
Job Viewed
Job Description
Our client is excited to offer an exceptional opportunity for ambitious and driven recent graduates to join their team as Graduate Data Scientists. This role is fully remote, allowing you to immerse yourself in cutting-edge data science and machine learning projects from anywhere. You will work alongside experienced data scientists and engineers, contributing to the development of advanced analytical models and predictive solutions. This internship provides invaluable hands-on experience in data cleaning, feature engineering, model training, evaluation, and deployment. You will have the chance to tackle real-world business challenges, leveraging large datasets to derive actionable insights. The ideal candidate possesses a strong foundation in statistics, mathematics, and programming, with a keen interest in machine learning algorithms and their applications. We are looking for individuals with a natural curiosity, excellent analytical skills, and a passion for solving complex problems using data. This internship is designed to foster your growth and development, offering exposure to various data science methodologies and tools. You will be an integral part of a collaborative team, contributing to projects that drive innovation and business value.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Explore and visualize data to identify trends and patterns.
- Develop and implement machine learning models for prediction, classification, and clustering.
- Evaluate model performance and iterate on improvements.
- Collaborate with senior data scientists on feature engineering and model selection.
- Assist in the deployment of models into production environments.
- Conduct literature reviews on relevant data science and machine learning topics.
- Document methodologies, findings, and code.
- Present findings and insights to the team and stakeholders.
- Learn and apply new data science techniques and tools.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Experience with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A proactive and detail-oriented approach.
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