Graduate Trainee - Data Science

A forward-thinking technology firm is seeking enthusiastic and bright Graduate Trainees to join their Data Science team. This program offers a unique opportunity for recent graduates to gain hands-on experience in a hybrid work environment, blending the collaboration of an office with the flexibility of remote work. As a Graduate Trainee, you will be immersed in various data science projects, working alongside experienced mentors to develop your skills in data analysis, machine learning, and predictive modeling. You will learn to clean, process, and analyze large datasets, build and validate statistical models, and communicate findings to technical and non-technical audiences. The program is designed to provide a comprehensive understanding of the data science lifecycle, from problem definition and data acquisition to model deployment and interpretation. Responsibilities will include assisting in data extraction and transformation, supporting the development of machine learning algorithms, conducting exploratory data analysis, and contributing to the visualization of data insights. You will also participate in team meetings, present your progress, and contribute to project documentation. The ideal candidate will have a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or Economics. Excellent analytical and problem-solving skills, a keen attention to detail, and a passion for data and technology are essential. While prior experience is not required, a demonstrated interest in data science through personal projects, coursework, or internships is highly valued. You should possess strong programming skills in Python or R and be familiar with data science libraries (e.g., Pandas, NumPy, Scikit-learn). Good communication and teamwork skills are necessary to thrive in this collaborative, hybrid setting. This is an exceptional entry-level opportunity for motivated individuals looking to launch a career in the rapidly evolving field of Data Science. Successful candidates will receive comprehensive training and mentorship, providing a solid foundation for future growth within the company. The role is based in **Owerri, Imo, NG**, with a hybrid schedule allowing for flexibility.

Responsibilities: Assist in data cleaning, processing, and feature engineering. Support the development and implementation of machine learning models. Conduct exploratory data analysis to identify patterns and insights. Create data visualizations to communicate findings effectively. Collaborate with senior data scientists on ongoing projects. Participate in team meetings and present project updates. Contribute to the documentation of data science processes and models. Learn and apply statistical and machine learning techniques. Qualifications: Recent graduate with a Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, etc.). Strong analytical and problem-solving abilities. Proficiency in Python or R programming. Familiarity with data science libraries (Pandas, NumPy, Scikit-learn). Excellent communication and teamwork skills. Eagerness to learn and develop skills in data science. Interest in machine learning and statistical modeling.