Data Science and AI Engineer

Data Science and AI Engineer

Job Description:

Our client, a leading organisation within the professional services industry, is seeking a seasoned Data Science and AI Engineer to support and deliver AI-driven solutions within a large-scale, high-impact environment.

Key Technical Skills:

• Experience working with data: wrangling, cleaning, and transforming datasets for analysis.
• Familiarity with tools such as Alteryx, Databricks, SPSS, R, Python, Scala, Java, or Spark.
• Exposure to data visualisation platforms like Power BI.
• Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression).
• Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision.
• Awareness of enterprise graph technologies or network analysis techniques.
• Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP); familiarity with Databricks is a plus.
• Comfort working in cloud-based or secure environments, with an interest in MLOps or model deployment.
• Awareness and practice of responsible AI, data ethics, and governance frameworks.
• Experience with the design and development of AI solutions including LLM and other Generative AI technologies.
• Willingness to explore emerging technologies such as agentic AI, GitHub Copilot, Microsoft Copilot and Copilot Studio.

Experience Required

• Minimum 5 years’ experience in the delivery of analytics and AI projects within enterprise environments.
• Proven background in problem-solving using data as a core asset.
• Prior exposure to a variety of data formats including text, images, and video.
• Demonstrated ability to work both independently and collaboratively in dynamic team settings.

Educational Requirements

• Bachelor’s or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related discipline.

HOW TO APPLY:

If you are interested in this role, please apply for this role with your updated CV