4 Graduate Data Scientist Machine Learning Focus jobs in whatjobs
Graduate Data Scientist - Machine Learning Focus
Posted 21 days ago
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Job Description
Our client is seeking ambitious and bright recent graduates to join their innovative team as Graduate Data Scientists, focusing on Machine Learning. This is a fully remote, full-time internship opportunity designed to provide a robust foundation in data science and machine learning within a supportive and collaborative environment. You will work on real-world projects, applying cutting-edge techniques to extract insights, build predictive models, and contribute to data-driven decision-making across the organization. The ideal candidate possesses a strong quantitative background, a passion for learning, and excellent programming skills. This role offers a unique chance to gain practical experience and develop expertise in a high-demand field, all from a remote setting.
Key Responsibilities:
Key Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering for machine learning models.
- Develop, train, and evaluate machine learning models for various business problems, such as classification, regression, and clustering.
- Implement and fine-tune algorithms using popular machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights within datasets.
- Visualize data and model results effectively to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand data needs and translate business problems into data science solutions.
- Document methodologies, code, and results thoroughly.
- Stay updated with the latest advancements and research in machine learning and artificial intelligence.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Contribute to the development of data pipelines and infrastructure.
- Help in the design and execution of A/B tests and other experiments.
- Learn and apply best practices in software development and data science.
- Support the team in data wrangling and ETL processes.
- Contribute to the creation of technical reports and presentations.
- Assist in the validation and testing of data models.
- Engage in continuous learning through online courses, workshops, and internal training.
- Identify potential data sources for new projects.
- Work on assigned tasks with a focus on accuracy and efficiency.
- Contribute to a positive and collaborative remote team culture.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong understanding of machine learning concepts, algorithms, and statistical modeling.
- Proficiency in programming languages such as Python or R.
- Experience with relevant data science and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Solid understanding of SQL and database querying.
- Excellent analytical, problem-solving, and critical thinking skills.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A genuine passion for data, machine learning, and continuous learning.
- Previous internship or project experience in data science or machine learning is a plus.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning Focus
Posted 18 days ago
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Job Description
Our client is looking for bright and ambitious recent graduates to join their fully remote Data Science team as interns, with a focus on Machine Learning. This is an exciting opportunity for individuals passionate about data, eager to learn, and keen to apply their academic knowledge in a real-world setting. As a remote intern, you will work on challenging projects under the guidance of experienced data scientists, contributing to the development and deployment of innovative machine learning models. You will gain hands-on experience in data cleaning, feature engineering, model training, evaluation, and interpretation. This internship is designed to provide a comprehensive learning experience in data science and AI, fostering your professional growth in a supportive, virtual environment. Projects may involve areas such as predictive modeling, natural language processing, computer vision, or recommendation systems, depending on business needs and intern interests. The successful candidates will develop strong analytical and problem-solving skills, enhance their technical proficiency with data science tools and programming languages, and gain valuable insights into the application of data science in various industries. Collaboration and communication within a remote team setting are key aspects of this role. This is a fantastic stepping stone for launching a career in data science.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Develop and implement machine learning models under supervision.
- Perform feature engineering and selection to improve model performance.
- Train, evaluate, and fine-tune various machine learning algorithms.
- Visualize data and model results to communicate findings effectively.
- Conduct literature reviews on relevant machine learning techniques.
- Collaborate with senior data scientists on project tasks and problem-solving.
- Document code, methodologies, and experimental results.
- Participate in team meetings and contribute to discussions.
- Learn and apply best practices in data science and machine learning.
- 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 fundamental machine learning concepts and algorithms.
- Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Familiarity with data visualization tools.
- Basic knowledge of SQL and databases is a plus.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and develop in the field of data science.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Enthusiasm for technology and data-driven solutions.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning Focus
Posted 5 days ago
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Job Description
Our client is looking for ambitious and bright recent graduates to join their team as Graduate Data Scientists, with a specialization in Machine Learning. This is a fully remote internship opportunity designed to provide hands-on experience in a cutting-edge data science environment. You will work alongside experienced data scientists and engineers, contributing to real-world projects and developing your skills in machine learning model development, data analysis, and predictive modeling.
Responsibilities will include:
This internship is 100% remote, allowing you to gain valuable professional experience from anywhere. Candidates should have recently completed or be in the final year of a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A strong foundation in statistics, linear algebra, and calculus is required. Demonstrated experience with programming languages like Python or R, and familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is essential. Excellent analytical and problem-solving skills, coupled with a keen curiosity and eagerness to learn, are highly valued. Strong communication skills are necessary for effective collaboration in a remote setting. This is an exceptional opportunity for motivated graduates in the **Machakos, Machakos, KE** area to launch their careers in data science and machine learning.
Responsibilities will include:
- Assisting in the collection, cleaning, and preprocessing of large datasets.
- Developing, training, and evaluating machine learning models using various algorithms.
- Conducting exploratory data analysis to identify patterns and insights.
- Implementing data visualization techniques to communicate findings effectively.
- Collaborating with senior data scientists on feature engineering and model optimization.
- Assisting in the deployment and monitoring of machine learning models in production environments.
- Researching and staying updated on the latest advancements in machine learning and artificial intelligence.
- Documenting methodologies, code, and results.
- Participating in team meetings and contributing to project discussions.
- Gaining practical experience with data science tools and programming languages (Python, R).
This internship is 100% remote, allowing you to gain valuable professional experience from anywhere. Candidates should have recently completed or be in the final year of a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A strong foundation in statistics, linear algebra, and calculus is required. Demonstrated experience with programming languages like Python or R, and familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is essential. Excellent analytical and problem-solving skills, coupled with a keen curiosity and eagerness to learn, are highly valued. Strong communication skills are necessary for effective collaboration in a remote setting. This is an exceptional opportunity for motivated graduates in the **Machakos, Machakos, KE** area to launch their careers in data science and machine learning.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Scientist - Machine Learning Focus
Posted 1 day ago
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Job Description
Join Our client , a pioneering analytics firm, for an exciting fully remote Graduate Data Scientist internship opportunity based in Meru, KE . We are looking for bright, ambitious individuals with a passion for data and a strong foundation in machine learning principles. This internship is designed to provide hands-on experience in a real-world data science environment, allowing you to contribute to impactful projects while honing your skills. As a fully remote intern, you will have the opportunity to collaborate with experienced data scientists and engineers from across the globe, gaining valuable insights into cutting-edge techniques and technologies. You will work on challenging datasets, applying statistical modeling, machine learning algorithms, and data visualization tools to extract meaningful insights and drive business decisions. This is an exceptional chance to kick-start your career in data science within a supportive and intellectually stimulating remote setting. We believe in nurturing talent and providing a comprehensive learning experience. You will be exposed to the entire data science lifecycle, from data collection and cleaning to model development, deployment, and interpretation. Our remote structure ensures that you can focus on learning and development without geographical constraints, connecting with a vibrant team dedicated to innovation.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist senior data scientists in developing and implementing machine learning models for various business applications.
- Perform data exploration, cleaning, and preprocessing on large, complex datasets.
- Conduct statistical analysis and generate insights from data using Python or R.
- Develop data visualizations to effectively communicate findings to technical and non-technical stakeholders.
- Contribute to the documentation of data science processes, models, and findings.
- Participate in team meetings, brainstorming sessions, and project reviews.
- Research and experiment with new machine learning algorithms and techniques.
- Collaborate with cross-functional teams in a remote environment.
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R programming languages and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Familiarity with SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, essential for a remote role.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated ability to work independently and manage time effectively in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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