AI Data Scientist

Enterprise AI & Data Science Analyst

About the Role

We are looking for an Enterprise AI & Data Science Analyst to join our Strategy & Consulting – Data & AI team. This role is ideal for someone who is passionate about artificial intelligence, data science, analytics, and transforming data into business value.

As part of our multidisciplinary AI team, you will work alongside data scientists, AI engineers, strategists, and industry experts to help clients solve complex business challenges using data and AI. You will support the development of analytical models, AI solutions, and insights that drive innovation and measurable outcomes across industries.

What You Will Do

As an Enterprise AI & Data Science Analyst, you will:

• Support the design, development, and deployment of AI, machine learning, and analytics solutions.
• Analyse structured and unstructured data to uncover business insights and opportunities.
• Assist in building predictive models, machine learning algorithms, and data-driven solutions.
• Help prepare, clean, and transform data for advanced analytics and AI applications.
• Contribute to the evaluation and testing of AI models, ensuring quality and performance.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Support the development of dashboards, visualisations, and reports that communicate insights effectively.
• Work with AI, cloud, and data platforms to develop scalable solutions.
• Stay up to date with emerging trends in AI, Generative AI, machine learning, and data science.

Who You Are

You are curious, analytical, and passionate about using data and AI to solve real-world business problems. You enjoy learning new technologies, working with data, and collaborating with diverse teams.

You may have gained experience through:

• University coursework, research projects, internships, or graduate programmes focused on data science, analytics, AI, or software development.
• Academic projects involving machine learning, predictive analytics, data visualisation, or statistical modelling.
• Exposure to cloud technologies, programming, or data engineering concepts.