AI Data Scientist

Key Responsibilities

• Analyse large datasets to identify trends, patterns, and business insights.
• Develop dashboards, reports, and data visualizations using Power BI.
• Design and implement data models to support business reporting and decision-making.
• Develop automation solutions and scripts using Python and other programming languages.
• Build AI-powered solutions utilizing Large Language Models (LLMs), Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) technologies.
• Work with structured and unstructured data from enterprise systems, knowledge bases, support platforms, and business applications.
• Utilize Databricks for data processing, analytics, and AI solution development.
• Develop proof-of-concepts and production-ready AI solutions.
• Collaborate with business, IT, and technical teams to identify opportunities for automation and AI adoption.
• Support data quality improvement, governance, and validation activities.
• Evaluate and optimize AI solution performance.
• Present findings and recommendations to technical and non-technical stakeholders.

Requirements:

• Bachelor's Degree in: Computer Science, Data Science or related engineering.

Prerequisite

• Strong Python programming and scripting skills.

• Experience with data analytics, statistical analysis, and data visualization.

• Hands-on experience with Power BI, including DAX and data modelling.

• Experience working with Databricks.

• Strong SQL and database knowledge.

• Working knowledge of AI technologies, including:

  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI
  • Prompt Engineering
  • RAG Architectures

• Experience integrating data from multiple enterprise systems.

• Strong problem-solving and analytical thinking skills.

• Good communication and stakeholder management skills.

• Ability to independently drive projects from concept to implementation.