Litmas AI
Data Science Intern

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Location: London, UK (Hybrid, min. 3 days in person)
Commitment: Full-time | Minimum 3 months
Start Date: As soon as possible
About Litmas AI
Litmas AI builds cutting-edge AI systems for litigation. Our platform helps legal teams understand complex cases, evaluate risk, surface key evidence, and produce high-quality legal work. We support high-stakes disputes across insurance defence, personal injury, commercial litigation, and debt collection. Our technology combines large language models with structured legal knowledge and real-world workflow design.
About the Role
We are looking for a Data Science Intern to join our team in London. This is a hands-on role at the intersection of data engineering, machine learning, and applied AI research. You will work directly on the systems that power Litmas AI, from data pipelines through to LLM evaluation frameworks. Minimum internship duration is three months, with the expectation of at least three days per week in our London office.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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What You Will Do
- Manage data extraction, cleaning, ingestion, and classification pipelines
- Build and maintain topological network and graph-based master data structures
- Build case-law retrieval evaluation harnesses across industry benchmarks
- Run LLM and agent evaluations and contribute to continuous improvement pipelines
- Contribute to the product roadmap and participate in customer feedback sessions
- Collaborate with team members on live research problems
Requirements
- Recent graduate or currently pursuing a Master's degree in Computer Science, Mathematics, Data Science, or another STEM field
- Experience with PostgreSQL in large-scale data pipelines
- Strong knowledge of Python; familiarity with other programming languages is a plus
- Ability to work a minimum of three days per week from our London office
- Comfort working in a fast-moving, start-up environment with ambiguous problem definitions
Nice to Have
- Experience with graph databases or network analysis (e.g. Neo4j, NetworkX)
- Experience with ETL pipelines and vector databases in retrieval frameworks
- Practical experience with embedding models for retrieval
- Familiarity with transformers, retrieval augmented generation, or LLM evaluation
- Exposure to legal tech, healthcare, or other domains where accuracy and auditability are critical
- Prior experience in a startup or research lab environment


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Why Join Litmas AI
- Work on AI systems with direct impact on real legal outcomes
- Collaborate with a high-calibre founding team as an early contributor
- Gain exposure to the full ML product lifecycle: data, modelling, evaluation, and deployment
- Competitive internship compensation and a clear path for extension or full-time conversion
How to Apply
Please make CV link or attachment available if submitting directly through LinkedIn, or email "careers@litmas.ai". A brief note explaining your interest in Litmas AI and the role is welcome.
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