Senior Data Scientist – AI Strategy

Required Skills & Experience

Core Technical Skills
Candidates should demonstrate practical experience in:

• Generative AI platforms.
• Large Language Models.
• Retrieval Augmented Generation.
• Prompt Engineering.
• Vector databases.
• AI evaluation frameworks.
• Agentic AI solutions.
• AI workflow automation.
• API integration.
• Responsible AI.
• AI governance.
• LLM observability.

Engineering Skills
Experience should include:

• Python development.
• FastAPI or Flask.
• Cloud platforms (AWS, Azure or Google Cloud).
• AI deployment pipelines.
• Real-time processing.
• Batch processing.
• Enterprise system integration.

Data Science Skills
Strong experience in:

• Machine Learning.
• Classification.
• Regression.
• Clustering.
• Natural Language Processing.
• SQL.
• PySpark.
• Data engineering.

Preferred Experience
Additional experience in the following would be advantageous:

• LangGraph
• CrewAI
• AutoGen
• Conversational AI platforms
• Speech analytics
• Voice analytics
• Telecommunications industry
• Customer Experience (CX)
• Enterprise AI implementation

Key Success Measures
The successful consultant should demonstrate the ability to:

• Deliver enterprise-ready AI solutions.
• Build production-grade Generative AI applications.
• Design intelligent autonomous AI systems.
• Improve customer experience through AI.
• Increase operational efficiency.
• Translate technical capability into measurable business value.

Qualifications
Applicants should possess:

• Bachelor's or Master's Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Engineering or a related discipline.
• Minimum five years' experience in Data Science, Artificial Intelligence, Machine Learning or Big Data.
• Proven experience delivering production AI solutions.
• Strong knowledge of Generative AI technologies.
• Experience with LLMOps and MLOps.
• Advanced Python programming skills.
• SQL and PySpark experience.
• Knowledge of cloud-native AI deployment.
• Docker and Kubernetes experience.
• Experience working with APIs.
• Strong understanding of traditional machine learning techniques.
• Experience with AI visualisation and reporting tools.
• Strong analytical thinking.
• Excellent communication and presentation skills.
• Experience mentoring technical teams.
• Ability to work independently within agile environments.