Data Scientist

This opportunity is ideal for someone with 4+ years of hands-on data science experience who enjoys working deeply on machine learning, statistical modelling, and scalable data solutions. The role is highly technical and suited to someone who thrives in environments where complex data challenges meet real-world business impact.

You will work across the full data science lifecycle from data exploration and feature engineering to model development, deployment, and optimisation while leveraging modern technologies such as AWS, SAS Viya, Python, and SQL.

Key Responsibilities:

• Manage end-to-end data science workflows, including data extraction, cleaning, feature engineering, modelling, and deployment
• Develop and implement advanced machine learning and statistical models to solve complex business problems
• Design and build AI-driven solutions that improve business performance and decision-making
• Translate complex or unstructured business challenges into scalable analytical frameworks
• Work within cloud environments (AWS) and modern analytics platforms, such as SAS Viya
• Build data visualisations and dashboards to communicate insights effectively
• Collaborate with business stakeholders to ensure that solutions address key strategic objectives
• Present technical findings and recommendations clearly to both technical and non-technical audiences

Job Experience and Skills Required:

• Education:
  • Degree in a quantitative discipline such as Data Science, Statistics, Applied Mathematics, Computer Science, or similar
  • Strong foundation in statistical modelling and machine learning theory
• Experience:
  • 4+ years of practical, hands-on data science experience
  • Strong experience building machine learning models in production environments
  • Advanced experience with Python, SAS, and SQL
  • Experience working with large datasets and complex data pipelines
  • Exposure to cloud platforms, preferably AWS
  • Experience using data visualisation tools to present insights
• Skills:
  • Strong technical and analytical problem-solving ability
  • Ability to design, build, and deploy complex data science solutions independently
  • Excellent data storytelling and communication skills
  • Naturally curious with a passion for experimentation and innovation
  • Comfortable working with both technical teams and business stakeholders
  • Thrives in fast-paced, data-driven environments

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