2 Graduate Data Analyst Machine Learning Focus jobs in whatjobs
Graduate Data Analyst - Machine Learning Focus
Posted 20 days ago
Job Viewed
Job Description
Are you a recent graduate with a passion for data and a keen interest in machine learning? Our client is looking for a talented Graduate Data Analyst to join our fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in a fast-paced, cutting-edge environment, working alongside experienced data scientists and analysts. You will be involved in various stages of the data analysis lifecycle, from data collection and cleaning to model development and performance evaluation. Your primary focus will be supporting the implementation and testing of machine learning models, helping to extract valuable insights from complex datasets. This is a remote-first role, designed to provide flexibility and allow you to contribute effectively from anywhere with a reliable internet connection. We are seeking candidates who are eager to learn, possess strong analytical and quantitative skills, and have a foundational understanding of statistical concepts and programming. Experience with Python or R, and familiarity with data visualization tools, would be a significant advantage. You will have the opportunity to work on real-world projects, contributing to data-driven decision-making processes within our organization. This internship is an excellent stepping stone for a career in data science or analytics. You will be mentored by senior team members who will guide you through challenging projects and provide constructive feedback. The role is based out of Kakamega, Kakamega, KE , but it is a fully remote opportunity, welcoming applications from across the globe.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.
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Graduate Data Analyst, Machine Learning Focus
Posted 11 days ago
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Job Description
Our client is offering an exceptional opportunity for enthusiastic graduates to join their pioneering team as Graduate Data Analysts, with a specialization in Machine Learning. This is a fully remote internship designed to provide hands-on experience in a cutting-edge field. You will work closely with senior data scientists and engineers, contributing to real-world projects that involve developing and deploying machine learning models. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, feature engineering, and assisting in the training and evaluation of machine learning algorithms. This role requires a strong quantitative background, a passion for data, and a foundational understanding of statistical concepts and programming languages like Python or R. You will gain invaluable exposure to the entire data science lifecycle in a supportive and collaborative remote environment. We are looking for bright, curious minds eager to learn and apply their academic knowledge to solve challenging business problems. This internship is an excellent springboard for a career in data science or machine learning.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets for analysis and model building.
- Perform exploratory data analysis to uncover trends, patterns, and insights.
- Support the development and implementation of machine learning models under guidance.
- Conduct feature engineering and selection to improve model performance.
- Help evaluate model accuracy and performance metrics.
- Document data analysis processes, methodologies, and findings.
- Collaborate with team members on various data science projects.
- Learn and apply new techniques and tools in data analysis and machine learning.
- Assist in the preparation of reports and visualizations to communicate insights.
- Contribute to a positive and productive remote team environment.
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, 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 (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic understanding of database concepts and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- A portfolio of personal 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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