Data Scientist - Artificial Intelligence

Job Description :

Key Responsibilities :

- Design, build and iterate generative AI solutions, including :

i. Retrieval-augmented generation (RAG) pipelines

ii. Embedding, retrieval and prompt orchestration components

iii. Document processing, information extraction, summarisation and content generation use cases

- Support evaluation frameworks for GenAI solutions, including :

i. Validation datasets

ii. Quality scoring

iii. Human-in-the-loop review processes

- Contribute to the creation of reusable AI and data components across use cases, including :

i. Standardised ingestion, retrieval and evaluation approaches

ii. Reusable document processing and triage patterns

iii. Reference implementations aligned to agreed architectures

- Work as part of a prioritised backlog, delivering incremental thin slices of functionality

- Collaborate closely with onshore AI leads, data engineers and delivery management

- Support documentation, walkthroughs and knowledge transfer to client teams

- Adhere to agreed governance, security and architectural standards

Required Skills & Experience :

Essential :

- Strong hands-on experience as a Data Scientist and/or AI Engineer

- Databricks experience

- Proven experience building Generative AI solutions, including :

i. LLM-based applications

ii. RAG pipelines

iii. Information extraction pipelines

iv. Prompt engineering and orchestration

- Solid Python skills for data processing and AI development

- Experience working with both structured and unstructured data

- Familiarity with evaluation, monitoring and iterative improvement of ML/AI solutions

- Experience working in distributed delivery teams

- Strong communication skills

Desirable :

- Familiarity with CI/CD, release controls or production deployment patterns for AI

- Experience with monitoring, logging or quality controls for GenAI systems