Data Scientist

Job Description

The Data Scientist will play a key role in turning data into insights that drive decision-making across the organization. This role focuses on building machine learning models, applying statistical techniques, and supporting business units with predictive analytics. From data collection to model deployment, the Data Scientist will work closely with technical and non-technical teams to solve real-world problems and uncover opportunities through data.

Key Responsibilities

• Model Development: Design, build, and deploy machine learning and deep learning models for classification, prediction, and pattern detection
• Data Analysis: Clean, process, and analyze large datasets to support business needs and discover actionable insights
• Collaboration: Work with different departments to understand their data challenges and provide practical solutions
• Visualization & Reporting: Present findings through clear visualisations and dashboards using tools like Power BI or Tableau
• Continuous Learning: Stay updated on the latest developments in AI, data science, and analytics to improve model performance and methodology
• Documentation: Maintain model documentation and help standardise data science practices across the team

Skills

• Strong grasp of machine learning, statistics, and data mining techniques
• Hands-on experience with Python, R, TensorFlow, PyTorch, and Scikit-learn
• Familiar with SQL, data wrangling, and working with structured and unstructured data
• Proficient in data visualisation tools (e.g. Power BI, Tableau)
• Good communication and storytelling skills to present findings to stakeholders
• Ability to work independently and in a cross-functional environment
  

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
• Minimum 5 years of experience in data science or analytics roles
• Experience working with real-time data and production-level model deployment is a plus
• Candidates who hold a valid QID will be prioritized

Job ID: 14072510-114VG