Data Scientist

Role Overview

The ideal candidate will have strong foundations in statistics, machine learning, programming, and data analysis, along with the ability to solve real-world business problems using advanced analytical techniques.

What You Will Do

Analyse structured and unstructured datasets, develop machine learning models, and translate complex datasets into actionable business insights.

Why It Might Be a Fit

The role offers the opportunity to work on meaningful data science initiatives, collaborate with cross-functional teams, and contribute to solutions that improve decision-making, operational efficiency, and business performance.

Requirements

• 2–5 years of relevant experience in data science, machine learning, advanced analytics, or a related quantitative field
• Strong programming skills in Python, including experience with libraries such as Pandas, NumPy, and Scikit-learn
• Solid understanding of statistics, probability, hypothesis testing, and machine learning fundamentals
• Hands-on experience with data preparation, exploratory analysis, feature engineering, and model evaluation
• Experience developing and optimising predictive models for practical business applications
• Strong SQL skills and familiarity with relational databases and data extraction techniques
• Experience with data visualisation tools or libraries such as Matplotlib, Seaborn, Power BI, or Tableau is an advantage
• Familiarity with model deployment, APIs, cloud platforms, or machine learning pipelines is desirable