Data Scientist

Key Responsibilities

• Lead the design development and deployment of scalable production-ready machine learning models and data products within a cloud-based environment.
• Analyse complex datasets and model outputs to identify trends generate actionable insights and support data-driven business growth.
• Design execute and evaluate controlled experiments delivering statistically robust recommendations to support strategic decision-making.
• Collaborate with cross-functional teams to implement machine learning solutions that address business challenges and create measurable value.
• Present complex analytical findings and recommendations to technical and non-technical stakeholders in a clear concise and impactful manner.
• Drive innovation by identifying new data sources analytical techniques and opportunities to enhance existing solutions and business outcomes.
• Mentor and support junior data scientists fostering a culture of continuous learning collaboration and technical excellence.
• Establish and promote best practices across the data science function including code quality version control model validation and MLOps processes.

Requirements

Qualifications

• Honours degree in Data Science Computer Science Statistics Applied Mathematics Operations Research or a related quantitative discipline.
• A Masters degree will be advantageous.

Experience

• Minimum of 5 years experience in Data Science including at least 2 years in a senior or leadership capacity.
• Experience within retail customer analytics marketing analytics or related commercial environments will be highly advantageous.

Technical Competencies

• Strong proficiency in Python and SQL.
• Sound understanding of version control systems Git workflows and CI/CD practices.
• Hands-on experience with machine learning techniques including regression classification clustering and predictive modelling.
• Strong background in statistical analysis experimental design and hypothesis testing.
• Experience working with cloud platforms preferably Google Cloud Platform (GCP).
• Familiarity with data visualisation and business intelligence tools such as Power BI or Looker Studio.
• Experience deploying monitoring and maintaining machine learning models in production environments.

Key Skills and Attributes

• Exceptional communication and presentation skills with the ability to translate complex analytical concepts into business-focused insights.
• Strong analytical thinking and problem-solving capabilities particularly when addressing complex or ambiguous business challenges.
• Ability to work effectively both independently and within cross-functional teams.
• Results-driven with a strong sense of ownership accountability and commitment to delivering high-quality outcomes.
• Naturally curious with a passion for discovering innovative approaches new technologies and emerging methodologies.
• Adaptable and eager to continuously learn and develop new technical and business skills.
• Strong commercial awareness and the ability to align data science initiatives with broader business objectives.

IC