Graduate Data Scientist

Position Overview

We are seeking a recent graduate passionate about Data Science, AI, and Machine Learning to join our dynamic team as a Graduate Data Scientist. This is a fantastic opportunity for those eager to apply analytical and problem-solving skills toward real business challenges by crafting predictive models and delivering actionable insights.

Key Responsibilities

• Gather, clean, and preprocess both structured and unstructured data sets for comprehensive analysis.
• Develop, test, and validate machine learning models under expert supervision.
• Conduct exploratory data analysis to identify trends, patterns, and unusual data points.
• Create predictive models to enhance business decision-making processes.
• Design dashboards, reports, and data visualisations to clearly communicate findings.
• Write and optimize SQL queries for data extraction and manipulation from databases.
• Participate in feature engineering and fine-tuning of models to improve performance.
• Work closely with cross-functional teams to develop AI-based business solutions.
• Maintain documentation of methods, model results, and technical details.
• Assist in the deployment and ongoing monitoring of machine learning systems.
• Keep current with emerging trends and technologies in AI, ML, and Data Science.
• Adhere to best practices regarding data governance, security, and privacy.

Required Qualifications

• Bachelor’s degree in Data Science, AI, Computer Science, Statistics, Mathematics, Engineering, or related quantitative disciplines.
• Recent graduates or individuals with up to one year of industry experience.
• Strong quantitative, analytical, and problem-solving capabilities.
• Fundamental understanding of statistics, probability, and machine learning principles.
• Basic proficiency in Python programming.
• Knowledge of SQL and relational databases.
• Awareness of data structures and algorithms.
• Effective communication and presentation skills.
• High attention to detail paired with sound logical reasoning.
• Capacity to work both independently and within team environments.

Preferred Skills

• Foundational experience with Python, SQL, and R programming.
• Familiarity with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or Keras.
• Basic competency with data libraries like Pandas, NumPy, and Matplotlib.
• Experience with data visualization tools such as Power BI or Tableau.
• Understanding of cloud service platforms including Microsoft Azure, AWS, or Google Cloud Platform.
• Introductory knowledge of Git version control systems.
• Participation in academic projects, internships, Kaggle competitions, or a personal portfolio is advantageous but not mandatory.

What We Offer

• Comprehensive training program tailored for graduates with experienced mentorship.
• Hands-on involvement in real-world AI and Data Science initiatives.
• Exposure to machine learning, predictive analytics, cloud technology, and business intelligence domains.
• Opportunities for career growth in areas like ML engineering, AI, data engineering, MLOps, and advanced analytics.
• A collaborative work culture supporting continuous learning and professional development.

Equal Employment Opportunity

We proudly maintain an equitable hiring process, welcoming applicants from diverse backgrounds. Our inclusive workplace promotes growth, learning, and success for everyone.