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Data Scientist

Navys
London
3 weeks ago
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Location:London (In-office, standard UK business hours)

Type:Full-time

Compensation: Depending on Experience

About Navys

At Navys, we are building the most advanced funds lawyer, ever.

Navys is transforming the fund formation process by combining deep legal expertise with AI. This isn’t another contract review or document summarizer: we are creating the Legal Operating System for funds.

Navys fuses internal legal precision and external regulatory insight into a living system that learns, reasons, and scales with fund professionals.

We are seeking an ambitiousData Scientistto join our team on a full-time basis. This is a unique chance to work alongside experienced private funds lawyers, AI engineers, and innovators in a tech-forward environment. Navys is not just a better tool - it’s a different model of how legal software should be built. You’ll be working on a product that completely reshapes the legal industry.

As our first or one of our first data science hires, you’ll play a foundational role inbuilding AI-driven legal intelligence systems, from data ingestion and modelling through to experimentation and deployment. You’ll work closely with engineering, product, and legal teams to design models and pipelines that power our platform.

What you’ll own (first 12 months)

  • Design, train, and evaluate machine learning models for legal and regulatory intelligence.
  • Build robust data pipelines for ingesting, cleaning, and structuring complex legal data.
  • Collaborate with software engineers to integrate models into production systems.
  • Partner with legal experts to translate domain knowledge into data features and model architectures.
  • Develop and maintain model monitoring, evaluation, and retraining workflows.
  • Contribute to the design of our AI/ML stack and establish best practices for data science across the company.

Must-have technical foundations

  • Strong proficiency inPythonfor data science and machine learning.
  • Experience withNLP, large language models, or retrieval-augmented generation (RAG).
  • Proven track record of building and deploying ML models into production.
  • Solid understanding of data preprocessing, feature engineering, and evaluation metrics.
  • Familiarity with cloud-based ML services (Azure preferred; AWS acceptable).
  • Experience working with APIs, databases, and structured/unstructured datasets.
  • Excellent problem-solving, analytical, and communication skills.
  • Desire to work in a fast-paced, dynamic start-up environment and a go-getter attitude.

Nice-to-have extras

  • Experience with ML frameworks such asPyTorch,TensorFlow, orscikit-learn.
  • Knowledge of Azure AI services (e.g., Azure Machine Learning, Cognitive Search).
  • Background in legal tech, fintech, or another highly regulated domain.
  • Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow).
  • Understanding of vector databases and semantic search.
  • Experience with data visualisation libraries (e.g., Plotly, D3.js).

You’ll thrive here if

  • You are talented, focused, and aligned with our mission - we are building a complex product with innovative technology, so we need driven and dynamic candidates who can rise to the challenge.
  • You take ownership of problems and run with them—figuring things out with limited direction when needed.
  • You are a strong communicator who gets your point across clearly, and you’re not afraid to speak up when something needs addressing.
  • You are independent, flexible, and prepared to take on responsibility early on.
  • You are prepared to be accountable for—and proud of—the work you do and your contributions to the team.

What we offer

  • Work with a veteran team of ex-employees of leading law firms, tech companies, and AI labs.
  • Direct mentorship from senior engineers, private funds lawyers, and product leaders.
  • 25 days holiday.
  • Cycle2Work and Electric Car Schemes.
  • Participation in the company’s employee share options scheme (subject to tenure and performance).
  • Health, fitness, and gift card discounts.
  • Annual Team Trip – 2026 is skiing in the Swiss Alps.
  • A rare opportunity todesign the AI models and data strategyof a transformative legal platform from day one.

Equal Opportunity Employer

We are committed to fostering a diverse and inclusive workplace. As an equal opportunity employer, we do not discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage or civil partnership, pregnancy or maternity, or sexual orientation. All qualified applicants will receive consideration based on individual merit and business needs.

If you feel you would add value to our ambitious and fast-moving team,apply here.

Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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