Data Mining Intern

As a Data Mining Intern, you will have the opportunity to collaborate with our data science and analytics teams to extract valuable insights from large datasets. This position is ideal for individuals who are eager to enhance their skills in data mining, machine learning, and data analysis while making meaningful contributions to projects. Your main responsibilities will include assisting in data collection, cleaning, and preparation for analysis from various sources such as databases, spreadsheets, and APIs. You will utilize exploratory data analysis techniques to identify patterns, trends, and relationships within extensive datasets. Additionally, you will apply statistical methods, data mining algorithms, and machine learning models to derive insights from the data. In this role, you will also be involved in visualizing complex datasets using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate your findings. Furthermore, you will be tasked with preparing reports and presentations summarizing insights, trends, and recommendations based on data analysis. Collaboration with senior team members to support data-driven projects and contribute to the development of predictive models and solutions will also be a key aspect of your role. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis is required. Basic knowledge of data mining techniques, statistical analysis, and machine learning concepts is also essential. Strong problem-solving skills, an affinity for data work, and the ability to present complex data findings clearly are important attributes for this role. Experience with data analysis tools like Python, R, SQL, Excel, and data visualization tools such as Tableau and Power BI will be beneficial. Familiarity with big data platforms like Hadoop and Spark, as well as machine learning algorithms and libraries like scikit-learn or TensorFlow, are desirable skills. Knowledge of statistical tools and methods is also advantageous. This is a full-time, permanent position with benefits including paid sick time. The work schedule is during the day shift, and the work location is in person.,