Principal Data Scientist - AI

Opus 2; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in legal software and services seeks a Principal Data Scientist to enhance AI-driven features. This role involves designing robust AI systems, working closely with product teams, and contributing to the complete lifecycle of AI implementations, fostering a culture of responsible AI usage.

Benefits

Contributory pension plan

26 days annual holidays

Health Insurance

Loyalty Share Scheme

Enhanced Maternity and Paternity

Employee Assistance Programme

Electric Vehicle Salary Sacrifice

Cycle to Work Scheme

Calm and Mindfulness sessions

Volunteer day off

Qualifications

• Experience fine tuning models and deploying AI systems.
• Ability to reason about multi-hop question answering and graph traversal.
• Familiarity with RAG and multi-hop reasoning.

Responsibilities

• Lead the design of AI systems supporting complex multi-step tasks.
• Explore RAG approaches to improve LLM workflows.
• Contribute to MLOps pipelines and evaluation frameworks.

Skills

AI systems design

MLOps best practices

Prompt design

Python

Data Science

Education

5+ years in applied AI or data science

Tools

Claude

Amazon Bedrock

Java

TypeScript

Job description

We're looking for a Principal Data Scientist to lead the design of AI systems that can support complex, multi-step tasks, use tools, adapt to context, and make intelligent decisions. You'll work closely with product and engineering to architect LLM-powered features that are robust, useful, and production-ready not just impressive demos. This role is ideal for someone who not only understands data and AI deeply but also brings strong software engineering instincts. Someone who can design intelligent systems that operate reliably and scalably within a complex product environment.
What you'll be doing

• You will explore and implement RAG or Graph RAG approaches to improve retrieval quality and reasoning in LLM workflows, including graph construction, entity linking, and hybrid scoring strategies.
• Design and implement LLM-powered systems that support multi-step task automation, tool use, and context-aware reasoning within the product.
• Contribute to prompt design and evaluate prompts results
• Design and implement MLOps pipelines with best practises in mind
• Prototype, evaluate, and ship AI features using platforms like Claude or Amazon Bedrock with a focus on production readiness, not just experimentation.
• Develop evaluation frameworks for testing model output quality, reliability, and alignment with user goals (e.g., hallucination detection, prompt regression, safety scoring).
• Work closely with engineers and designers to embed AI capabilities into real user workflows, ensuring that technical architecture supports meaningful product outcomes.
• Own the full lifecycle of AI components from evaluation frameworks, planning and modeling to testing, deployment, and continuous improvement.
• Contribute to our AI strategy and roadmap, helping shape how we scale LLM usage responsibly across the platform. You bridge product and engineering by embedding AI into user-facing features, not just prototypes.
• Collaborate closely with Principal Engineer to align AI workflows, system prompts, and model interaction layers.

What excites us?

We've moved past experimentation. We have live AI features and a strong pipeline of customer's excited to get access to more improved ai powered workflows. Our focus is on delivering real, valuable AI-powered features to customers and doing it responsibly. You'll be part of a team that owns the entire lifecycle of these systems: planning, building, testing, deploying, and evolving them as part of our core product.

Requirements

What we're looking for in you

• You're a practical AI builder. Not just a theorist. You think in terms of customer value, vs. research or academic novelty.
• You've worked with Claude and/or Amazon Bedrock (or similar LLM platforms) and understand prompt design, model behavior tuning, and output evaluation.
• You're comfortable writing code, reviewing PR's, and deliver a reliable, explainable, production-ready product.
• Are excited about MLOps and brings experience in implementing MLOps best practices.
• You're curious about how people interact with AI and want to build systems they can trust and understand.

Qualifications

• Experience fine tuning models.
• Ability to reason about multi-hop question answering, graph traversal, and integrating structured retrieval with LLM prompts.
• Performance over time.
• 5+ years experience in applied AI, machine learning systems, or data science roles with production responsibility.
• Proficiency in Python, with experience building and maintaining AI systems, not just analyses.
• Experience working in Java or TypeScript environments beneficial.
• Experience with Claude, OpenAI, Bedrock is nice to have or experience with similar LLM platforms required.
• Familiarity with RAG, Graph-based retrieval, prompt design, and multi-hop reasoning.
• Experience deploying LLM-powered features into production environments.
• Bonus: experience in vector stores, agent orchestration, or legaltech domain knowledge.

Benefits

Working for Opus 2

Opus 2 is a global leader in legal software and services, trusted partner of the world's leading legal teams. All our achievements are underpinned by our unique culture where our people are our most valuable asset. Working at Opus 2, you'll receive:

• Contributory pension plan.
• 26 days annual holidays, hybrid working, and length of service entitlement.
• Health Insurance.
• Loyalty Share Scheme.
• Enhanced Maternity and Paternity.
• Employee Assistance Programme.
• Electric Vehicle Salary Sacrifice.
• Cycle to Work Scheme.
• Calm and Mindfulness sessions.
• A day of leave to volunteer for charity or dependent cover.
• Accessible and modern office space and regular company social events.