Staff Data Scientist — Blockchain Analytics & ML Lead

Unchain Data

Greater London

On-site

GBP 110,000 - 160,000

Full time

13 days ago
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Job summary

Chainalysis in London is seeking a Staff Data Scientist to lead analytical work across both UTXO and EVM blockchains. You will own multiple production data-science projects and shape technical direction from prototype to production.

You’ll apply advanced statistical models, graph algorithms, and ML to large-scale on-chain data, while mentoring peers and collaborating across Research, Intelligence, Product, and Engineering to deliver impact.

Qualifications

  • Advanced expertise in statistics and machine learning demonstrated through work or research.
  • Expert-level proficiency in Python and SQL with production-quality code.
  • Ability to apply analysis techniques (graph algorithms, ML, inference) to large messy data.
  • Ability to learn new domains and data models quickly; blockchain experience is a plus but not required.
  • Proven track record of owning multiple projects from design to delivery.
  • Strong written and verbal communication to explain complex methods and mentor others.

Responsibilities

  • Own and prioritise multiple data-science projects or systems, translating broad problems into actionable work.
  • Design, develop, and validate analytical methods and algorithms across blockchain data.
  • Stay current with advances and pilot techniques on large-scale on-chain datasets.
  • Identify inefficiencies, make architectural decisions, and balance long-term health with delivery.
  • Drive cross-functional alignment and defend methodology and results.
  • Mentor team members and contribute to onboarding and hiring.
  • Collaborate to move research from prototype to production systems.

Skills

Statistics
Machine learning
Python
SQL
Data modelling
Problem solving

Education

PhD or equivalent research training

Tools

Databricks
Dbt
PySpark / Spark
Terraform
AWS
PostgreSQL

Job description

Chainalysis in London is seeking a Staff Data Scientist to lead analytical work across both UTXO and EVM blockchains. You will own multiple production data-science projects and shape technical direction from prototype to production.

You’ll apply advanced statistical models, graph algorithms, and ML to large-scale on-chain data, while mentoring peers and collaborating across Research, Intelligence, Product, and Engineering to deliver impact.

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