HKA is a global leader in risk mitigation, dispute resolution, and expert witness services. They are seeking a Senior Data Scientist to apply prompt engineering, artificial intelligence (AI), machine learning (ML), and process automation to complex, real-world data problems.
Responsibilities:
- Lead prompt engineering as a core capability within HKA
- Design, test, and refine structured prompt playbooks aligned to litigation, arbitration, and investigative use cases
- Provide legal, technical, and commercial context to LLMs to improve accuracy, relevance, and defensibility of outputs
- Apply AI and ML techniques to large-scale document review in construction disputes, fraud investigations, and arbitration matters
- Analyze document populations typically ranging from 150,000 to 250,000+ records
- Reduce large datasets to high‑value, defensible subsets for Partner and expert review
- Design and implement AI‑enabled data cleansing, normalization, and de‑duplication pipelines
- Improve speed and quality of relevance classification and issue tagging
- Reduce manual effort through intelligent automation while maintaining auditability and quality controls
- Identify manual, repeatable processes suitable for automation across delivery teams
- Support opportunity‑to‑cash and delivery workflows through RPA and process automation initiatives
- Rapidly prototype and iterate on automation solutions in a developing, evolving environment
- Operate with a tool‑agnostic mindset, focusing on fit-for-purpose solutions rather than specific vendors
- Evaluate and recommend new AI, ML, or automation tools where they add clear value
- Contribute to shaping HKA’s broader AI, data, and automation roadmap