Principal Data Scientist, Opus 2
Artificial Intelligence
Offers Loyalty Share Scheme
Modernising legal dispute practices
Be an early applicant
Modernising legal dispute practices
201-500 employees
Be an early applicant
Offers Loyalty Share Scheme
201-500 employees
Company mission
To help build future legal practices by making them more agile, connected and learning organisations.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
Salary benchmarks
Our take
Documentation, clients and teams are all multifarious in legal proceedings, and therefore provide unique logistical problems. Opus 2 aims to meet the needs of the modern courtroom by providing digital solutions in an age of remote hearings.
The company provides e-bundles that seek to solve these problems. Whilst courtrooms may use existing video software to conduct hearings, Opus 2 integrates this software with other elements (such as data storage and documentation) in order to streamline the process and ultimately save time for everyone. The company offers virtual workspaces on a secure cloud platform, streamlining legal work for both lawyers and clients.
Opus 2 continually invests in developing its software in the UK and internationally and facilitates this by hiring new talent. A recent partnership with SeeUnity is set to help achieve this.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Accessible and modern office spaces fully kitted out with Table Tennis and regular company social events
- Contributory pension plan
- 26 days annual holidays, flexible working, and length of service entitlement
- Enhanced Maternity and Paternity
- Employee Assistance Programme
- Season ticket loan
- Cycle to Work Scheme
- Calm and Mindfulness sessions
- Perkbox scheme
- A day of leave to volunteer for charity and an active CSR team raising money towards a company charity
Company HQ
Holborn, London, UK
Leadership
Graham Smith-Bernal
(CEO)Founded LiveNote, the world's most widely used litigation support tool, before starting Opus 2 in 2008.
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