Junior Data Science Graduate Trainee

About

Are you a recent graduate with a passion for data and a desire to build a career in data science? Our client, a forward‑thinking technology firm, is offering an exceptional Junior Data Science Graduate Trainee position in Bauchi, Bauchi, NG. This is a fully remote opportunity designed to provide comprehensive training and hands‑on experience in the exciting field of data analysis and machine learning. As a trainee, you will work closely with experienced data scientists, learning to collect, clean, analyze, and interpret complex datasets to derive actionable insights. You will gain exposure to various data science tools and techniques, including statistical modeling, data visualization, and predictive analytics.

The program is structured to accelerate your professional development, equipping you with the skills necessary to become a proficient data scientist. You will participate in real‑world projects, contributing to data‑driven decision‑making across different departments. Key learning areas will include programming languages like Python or R, SQL for database management, and machine learning frameworks. The role demands a curious mind, strong problem‑solving abilities, and a keen attention to detail. While no prior professional experience is strictly required, a solid academic foundation in a quantitative field and demonstrable projects or personal learning in data science are highly advantageous. You will be expected to demonstrate enthusiasm for continuous learning and a proactive approach to skill development.

What You Will Learn and Do

• Assist in collecting, cleaning, and pre‑processing large datasets from various sources.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Develop and implement basic statistical models and machine learning algorithms under supervision.
• Create data visualizations and reports to communicate findings to the team.
• Learn and apply SQL for data extraction and manipulation.
• Gain hands‑on experience with programming languages such as Python and relevant libraries (Pandas, NumPy, Scikit‑learn).
• Participate in team meetings and contribute ideas for data‑driven solutions.
• Understand the principles of data governance and data quality management.
• Shadow senior data scientists and learn from their expertise.
• Contribute to the development of predictive models and forecasting tools.

Qualifications

• A recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a closely related quantitative field.
• A strong academic record with excellent grades in relevant coursework.
• Foundational knowledge of statistics, probability, and linear algebra.
• Basic programming skills in Python or R.
• Familiarity with SQL is a plus.
• Demonstrated interest and self‑study in data science, machine learning, or artificial intelligence (e.g., personal projects, online courses, Kaggle competitions).
• Excellent analytical and problem‑solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt in a fast‑paced environment.