Graduate Data Scientist

Graduate Data Scientist About the RoleAre you a recent Data Science graduate looking to launch your career in Artificial Intelligence, Machine Learning, and advanced analytics? We are seeking a curious, analytical, and motivated Graduate Data Scientist to join our growing team. This entry-level role is ideal for graduates who are passionate about solving complex business problems using data, developing predictive models, and transforming raw information into meaningful insights.No prior professional experience is required. Full training and mentorship will be provided to help you build practical expertise in data science, machine learning, artificial intelligence, cloud technologies, and data-driven decision-making.Key ResponsibilitiesCollect, clean, preprocess, and analyse structured and unstructured datasets.Develop, test, and evaluate machine learning models under the guidance of senior team members.Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.Build predictive models to support business decision-making.Develop dashboards, reports, and visualisations to communicate analytical findings.Write SQL queries to extract, manipulate, and analyse data from databases.Assist in feature engineering and model optimisation activities.Collaborate with cross-functional teams to develop AI-driven business solutions.Document methodologies, model performance, and technical findings.Support the deployment and monitoring of machine learning models.Stay updated with the latest developments in Artificial Intelligence, Machine Learning, and Data Science.Follow data governance, security, and privacy best practices.Required QualificationsBachelor's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, Data Analytics, Engineering, or a related quantitative discipline.Recent graduate or up to 1 year of experience.Strong analytical, mathematical, and problem-solving skills.Good understanding of statistics, probability, and machine learning concepts.Basic knowledge of Python programming.Basic understanding of SQL and relational databases.Familiarity with data structures and algorithms.Excellent communication and presentation skills.Strong attention to detail and logical reasoning.Ability to work independently and collaboratively.Preferred SkillsBasic knowledge of Python, SQL, and R.Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or Keras.Basic understanding of Pandas, NumPy, and Matplotlib.Familiarity with Power BI or Tableau for data visualisation.Understanding of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP) is an advantage.Basic knowledge of Git and version control.Academic projects, internships, research work, Kaggle competitions, GitHub repositories, or personal portfolio projects are beneficial but not required.What You'll GainStructured graduate training and mentoring.Hands-on experience working on real-world AI and Data Science projects.Exposure to Machine Learning, Predictive Analytics, Cloud Technologies, and Business Intelligence.Career progression opportunities in Data Science, Machine Learning Engineering, Artificial Intelligence, Data Engineering, Business Intelligence, MLOps, and Advanced Analytics.Collaborative and supportive working environment.Continuous learning and professional development opportunities.Equal Opportunity EmployerWe are an equal opportunity employer and welcome applications from graduates of all backgrounds. We are committed to creating an inclusive workplace where everyone has the opportunity to learn, grow, and succeed.