10 Junior Data Scientist Predictive Analytics jobs in whatjobs
Junior Data Scientist - Predictive Analytics
Posted 20 days ago
Job Viewed
Job Description
Join a forward-thinking organization as a Junior Data Scientist, focusing on predictive analytics within our fully remote team. This is an exceptional opportunity for recent graduates with a strong foundation in statistics, machine learning, and data manipulation to launch their careers. You will work closely with senior data scientists and business stakeholders to extract, clean, and analyze large datasets, build predictive models, and translate complex findings into actionable business insights. The role emphasizes learning and development, providing exposure to diverse projects and cutting-edge technologies in a supportive virtual environment.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large and complex datasets from various sources.
- Develop and implement statistical models and machine learning algorithms for predictive analysis, classification, and clustering.
- Perform exploratory data analysis to identify trends, patterns, and correlations.
- Collaborate with senior data scientists to validate model performance and refine analytical approaches.
- Create data visualizations and reports to communicate findings effectively to both technical and non-technical audiences.
- Contribute to the development of data-driven solutions that address business challenges and opportunities.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Participate in code reviews and contribute to the maintenance of robust data science pipelines.
- Assist in the documentation of data sources, methodologies, and model results.
- Engage in continuous learning and skill development through online courses, workshops, and team knowledge sharing sessions.
- Work collaboratively with a remote team, ensuring clear communication and project alignment.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a closely related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Proficiency in programming languages commonly used in data science, such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Familiarity with SQL for database querying.
- Strong analytical and problem-solving skills with meticulous attention to detail.
- Excellent communication and collaboration skills, especially in a remote team setting.
- Self-motivated, eager to learn, and capable of working independently.
- A portfolio of data science projects (e.g., GitHub repository) is highly desirable.
- Must have reliable internet connectivity and a suitable remote work environment.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist, Predictive Analytics
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking an enthusiastic and motivated Junior Data Scientist to join their innovative team. This is a fully remote, internship opportunity designed for individuals passionate about uncovering insights from data and building predictive models. You will work closely with experienced data scientists and engineers on challenging projects, contributing to the development and deployment of machine learning solutions that drive business value. This role requires a strong foundation in statistical concepts, programming skills, and a keen interest in applying data science techniques to real-world problems.
Responsibilities:
Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering for large datasets.
- Develop and implement machine learning models for predictive analytics tasks under supervision.
- Conduct exploratory data analysis to identify patterns and trends.
- Collaborate with senior data scientists on model evaluation, validation, and interpretation.
- Document code, methodologies, and findings clearly and concisely.
- Support the deployment and monitoring of machine learning models in production environments.
- Participate in team meetings and contribute to discussions on project strategy and technical approaches.
- Stay current with the latest advancements in data science and machine learning.
- Gain hands-on experience with various data science tools and platforms.
- Contribute to a culture of data-driven decision-making.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data 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, TensorFlow/PyTorch).
- Basic knowledge of SQL and database querying.
- Excellent analytical and problem-solving skills.
- Strong desire to learn and contribute in a remote team environment.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively.
- Previous project experience or coursework in data science is a plus.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - Predictive Analytics
Posted 19 days ago
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Job Description
Our client, a forward-thinking data analytics firm, is excited to offer a remote internship opportunity for a motivated Junior Data Scientist. This is an excellent chance for aspiring data professionals to gain hands-on experience in predictive modeling and data analysis within a supportive and collaborative environment. You will work alongside senior data scientists, contributing to real-world projects that drive business insights. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis (EDA), and assisting in the development and evaluation of predictive models. You will gain exposure to various machine learning algorithms, statistical techniques, and data visualization tools. A key aspect of this internship is learning to interpret model results, identify patterns, and communicate findings effectively to technical and non-technical audiences. You will utilize programming languages such as Python or R, and libraries like Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. The ideal candidate will have a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline. Familiarity with machine learning concepts and basic programming skills are required. Excellent analytical, problem-solving, and critical thinking abilities are essential. This fully remote internship emphasizes learning and development, providing mentorship and opportunities to contribute meaningfully to projects. We are looking for individuals who are eager to learn, highly motivated, and possess excellent communication skills. This internship is designed for current university students or recent graduates seeking practical experience in data science. You will be part of a dynamic team, collaborating virtually on innovative projects. This is a fantastic stepping stone for anyone passionate about uncovering insights from data and building intelligent systems. We provide a structured learning path and exposure to a wide range of data science challenges. Our team is dedicated to fostering your growth and helping you build a strong foundation in the field. The remote nature of this role allows for flexibility and accessibility, making it an ideal learning environment for talented individuals from diverse locations. We value curiosity, collaboration, and a passion for data.
Key Responsibilities:
Embark on your data science career journey with this rewarding, fully remote internship opportunity.
Key Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Evaluate model performance and assist in model tuning.
- Generate data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on project tasks.
- Learn and apply statistical and machine learning techniques.
- Contribute to data-driven decision-making processes.
- Stay updated on emerging data science tools and methodologies.
Embark on your data science career journey with this rewarding, fully remote internship opportunity.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist, Predictive Analytics
Posted 17 days ago
Job Viewed
Job Description
Our client, a cutting-edge analytics firm, is seeking enthusiastic and bright individuals for a Junior Data Scientist internship focused on Predictive Analytics. This is a fully remote internship, providing an invaluable learning experience and exposure to real-world data science challenges without geographical constraints. As a Junior Data Scientist, you will work closely with senior data scientists to develop, test, and deploy predictive models that drive business insights and decision-making. You will gain hands-on experience in data cleaning, feature engineering, model selection, validation, and interpretation. This internship is designed for candidates with a strong foundation in statistics, mathematics, and programming, who are eager to apply their skills in a practical, collaborative, and remote-first environment.
Internship Responsibilities:
Qualifications:
Internship Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Develop, train, and evaluate predictive models using statistical and machine learning techniques (e.g., regression, classification, clustering).
- Implement feature engineering techniques to improve model performance.
- Conduct A/B testing and validate model results rigorously.
- Contribute to the documentation of data analysis processes, model methodologies, and findings.
- Visualize data and model outputs to communicate insights effectively to technical and non-technical audiences.
- Stay updated with the latest research and advancements in data science and machine learning.
- Collaborate with team members in a virtual environment, participating actively in discussions and code reviews.
- Assist in deploying models into production environments under supervision.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to articulate technical concepts clearly.
- Self-motivated, detail-oriented, and able to work independently in a remote setting.
- Eagerness to learn and contribute to a dynamic team environment.
- Prior experience with SQL is a plus.
- A demonstrable passion for data science through personal projects or academic work.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - Predictive Analytics
Posted 10 days ago
Job Viewed
Job Description
Our client is excited to offer a fully remote internship opportunity for a motivated Junior Data Scientist. This is an exceptional chance for aspiring data professionals to gain hands-on experience in a cutting-edge environment, contributing to real-world projects. You will work closely with our senior data science team, assisting in the development and implementation of predictive models, data analysis, and machine learning algorithms. The focus will be on extracting valuable insights from large datasets to drive business decisions and enhance operational efficiency, potentially supporting initiatives relevant to the **Kericho, Kericho, KE** region. The ideal candidate will possess a strong foundation in statistics, programming (Python or R), and a passion for uncovering patterns and trends in data. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first culture.
Key Responsibilities include:
Qualifications:
This is a fully remote internship. Our client is an equal opportunity employer.
Key Responsibilities include:
- Assisting in data cleaning, preprocessing, and feature engineering for various datasets.
- Collaborating with senior data scientists to develop and test predictive models using machine learning techniques.
- Performing exploratory data analysis to identify key trends, patterns, and anomalies.
- Implementing and evaluating algorithms for classification, regression, clustering, etc.
- Visualizing data and model results to communicate findings effectively.
- Assisting in the deployment and monitoring of machine learning models in production.
- Documenting code, methodologies, and findings in a clear and organized manner.
- Participating in team meetings and brainstorming sessions to contribute innovative ideas.
- Learning and applying new data science tools and techniques.
- Supporting ad-hoc data analysis requests from various business units.
Qualifications:
- Currently pursuing or recently completed 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 probability.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Basic knowledge of SQL for data extraction and manipulation.
- Strong problem-solving abilities and a logical approach to analysis.
- Excellent written and verbal communication skills, adept at explaining technical concepts to a non-technical audience.
- Ability to work independently and manage time effectively in a remote setting.
- A strong desire to learn and grow in the field of data science.
- Previous project experience (academic or personal) in data analysis or machine learning is a plus.
This is a fully remote internship. Our client is an equal opportunity employer.
This advertiser has chosen not to accept applicants from your region.
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Junior Data Scientist - Predictive Analytics
Posted 9 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and bright Junior Data Scientist to join their innovative team on a fully remote internship basis. This is an exceptional opportunity for individuals starting their career in data science, eager to gain hands-on experience in predictive modeling and data analysis. You will work alongside experienced data scientists and engineers, contributing to projects that involve cleaning, transforming, and analyzing large datasets to uncover insights and build predictive models. Key responsibilities will include data exploration, feature engineering, model development (e.g., regression, classification), model evaluation, and contributing to data visualization efforts. You will gain exposure to various machine learning algorithms and statistical techniques. This role requires a solid foundation in mathematics, statistics, and programming, along with a strong desire to learn and grow in a remote, collaborative environment. You will be expected to work independently on assigned tasks, communicate your findings clearly, and actively participate in team discussions. This internship is designed to provide a comprehensive learning experience, enabling you to develop practical skills and build a strong portfolio. You will be an integral part of projects that drive business decisions and enhance product offerings. The company is committed to fostering a supportive learning environment where interns can thrive and contribute meaningfully. This is a chance to apply academic knowledge to real-world challenges and kick-start your career in a rapidly evolving field.
Location: Ongata Rongai, Kajiado, KE. This is a completely remote internship, allowing you to work from anywhere.
Qualifications:
Location: Ongata Rongai, Kajiado, KE. This is a completely remote internship, allowing you to work from anywhere.
Qualifications:
- Currently pursuing 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 Python or R for data analysis and modeling.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn).
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to articulate technical concepts.
- Self-motivated, detail-oriented, and able to work effectively in a remote setting.
- Previous internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Scientist - Predictive Analytics
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and driven Junior Data Scientist to join their innovative, fully remote data science team. This is an exceptional internship opportunity for individuals passionate about uncovering insights from complex datasets and contributing to cutting-edge predictive modeling projects. You will work under the guidance of experienced data scientists, assisting in the development, validation, and deployment of machine learning models. Your primary focus will be on data cleaning, preprocessing, exploratory data analysis, and feature engineering. You will gain hands-on experience with various statistical techniques and machine learning algorithms. A key part of this role involves collaborating with team members to interpret model results, identify patterns, and communicate findings effectively through visualizations and reports. You will also assist in the testing and validation of model performance, ensuring accuracy and reliability. The ideal candidate is a quick learner, possesses strong analytical and problem-solving skills, and has a foundational understanding of programming languages commonly used in data science, such as Python or R. Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is highly beneficial. This is a remote-first internship, requiring excellent written and verbal communication skills, self-motivation, and the ability to manage your time effectively within a virtual team setting. You will have the opportunity to contribute to real-world projects, gain practical experience, and build a strong portfolio. Our client is committed to fostering a supportive learning environment where interns can develop their skills and make meaningful contributions. This internship provides a unique pathway to a career in data science, offering exposure to various industries and applications. We seek individuals eager to learn, experiment, and grow in a collaborative, remote-first culture. The chance to kickstart your data science career from anywhere is here.
Responsibilities:
Responsibilities:
- Assist in data collection, cleaning, and preprocessing for various projects.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of machine learning models.
- Conduct feature engineering to enhance model performance.
- Collaborate with senior data scientists on model validation and testing.
- Create data visualizations to communicate insights and findings.
- Assist in documenting methodologies, results, and model performance.
- Participate in team meetings and contribute to project discussions.
- Learn and apply new data science techniques and tools.
- Contribute to the overall data strategy and problem-solving efforts.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python or R for data analysis.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- Prior internship or project experience in data science is a plus.
This advertiser has chosen not to accept applicants from your region.
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6
Junior Data Scientist - Predictive Analytics
Posted 4 days ago
Job Viewed
Job Description
Our client is seeking an ambitious and bright Junior Data Scientist to join their innovative, fully remote graduate program. This is an exceptional entry-level opportunity for individuals passionate about leveraging data to uncover insights and build predictive models. You will work closely with senior data scientists and analysts, contributing to various projects across different business units. The role is designed to provide comprehensive training and hands-on experience in a supportive, remote-first environment. You will gain exposure to the full data science lifecycle, from data cleaning and exploration to model development and deployment.
Key Responsibilities:
Qualifications:
Location: Kericho, Kericho, KE (Remote).
Key Responsibilities:
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and testing of statistical and machine learning models.
- Collaborate with senior team members on model validation and performance evaluation.
- Contribute to the creation of data visualizations and reports to communicate findings.
- Learn and apply various data science techniques and tools.
- Participate in team meetings and contribute ideas for new analytical approaches.
- Assist in the documentation of data sources, methodologies, and findings.
- Adhere to data privacy and security best practices.
- Actively engage in learning and professional development within the data science field.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational understanding of statistical concepts and machine learning algorithms.
- Basic proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, ggplot2) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication skills, both written and verbal, crucial for remote collaboration.
- Eagerness to learn and adapt in a rapidly evolving field.
- Ability to work effectively in a remote team environment.
- Enthusiasm for uncovering data-driven insights.
Location: Kericho, Kericho, KE (Remote).
This advertiser has chosen not to accept applicants from your region.
7
Junior Data Scientist - Predictive Analytics
Posted today
Job Viewed
Job Description
Our client is seeking enthusiastic and bright Junior Data Scientists to join their innovative team as interns, focusing on predictive analytics. This is a fantastic opportunity for aspiring data professionals to gain hands-on experience in a fully remote setting, contributing to meaningful projects and developing cutting-edge solutions. We are committed to a remote-first internship program, providing structured mentorship, access to industry-standard tools, and a collaborative virtual environment.
Responsibilities:
Responsibilities:
- Assist senior data scientists in collecting, cleaning, and transforming large datasets from various sources.
- Develop and implement predictive models using machine learning algorithms under the guidance of experienced mentors.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and insights within the data.
- Visualize data and model results to effectively communicate findings to technical and non-technical audiences through virtual presentations.
- Collaborate with team members on data science projects, actively participating in code reviews and brainstorming sessions in a remote setting.
- Learn and apply statistical techniques and programming languages (e.g., Python, R) for data analysis and modeling.
- Contribute to the documentation of data processing pipelines, models, and findings.
- Stay updated on emerging trends and techniques in data science and machine learning.
- Support the testing and validation of predictive models.
- Actively seek feedback and apply learnings to improve skills and project contributions.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge 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 machine learning frameworks (e.g., Scikit-learn).
- Basic understanding of database querying (e.g., SQL).
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication and interpersonal skills, with the ability to articulate ideas clearly in a virtual environment.
- Eagerness to learn, adapt, and contribute in a fast-paced, remote team setting.
- Ability to work independently and manage assigned tasks effectively.
- Prior internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Junior Data Scientist - Predictive Analytics
Posted today
Job Viewed
Job Description
Our client is actively seeking a motivated and intellectually curious Junior Data Scientist to join their innovative team. This fully remote internship offers an exceptional opportunity for aspiring data professionals to gain hands-on experience in applying advanced analytical techniques to real-world business challenges. You will work alongside experienced data scientists, contributing to projects focused on developing predictive models, uncovering actionable insights, and driving data-informed decision-making. This role is ideal for individuals passionate about machine learning, statistical modeling, and extracting value from complex datasets. Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Support the development and implementation of statistical models and machine learning algorithms for predictive analytics.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Generate visualizations and reports to communicate findings and insights to the team.
- Collaborate with senior data scientists on model validation, testing, and refinement.
- Assist in the deployment and monitoring of predictive models.
- Stay updated on the latest developments in data science and machine learning techniques.
- Participate in team meetings, contribute to discussions, and learn from experienced professionals.
- Document methodologies, code, and results clearly and concisely.
- Assist in the preparation of presentations for stakeholders.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts, machine learning algorithms, and data mining techniques.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Basic understanding of SQL for database querying.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a remote team environment.
- Enthusiasm for learning and applying new technologies and methodologies.
- Previous internship or project experience in data analysis or data science is advantageous.
This advertiser has chosen not to accept applicants from your region.
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