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Staff Data Scientist

chainalysis-careersLondon OfficeR&D
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
15 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an individual energised by deeply technical, ambiguous problems who wants to own multiple projects end to end and shape technical direction within a data science team. The position is located at the Chainalysis London Office.

Role Overview

Chainalysis is hiring a Staff Data Scientist to join the Research and Intelligence organisation based in the London Office. The professional will work across flexible, cross-functional squads to lead analytical, statistical, and machine-learning initiatives spanning UTXO and EVM blockchains. The position involves developing behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that power advanced blockchain analysis.

Key Responsibilities

Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work.
Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across blockchain data.
Stay current on advances in data science and blockchain analysis, evaluating and piloting graph computation and machine learning techniques.
Identify and resolve inefficiencies in code, methodology, and workflows while balancing long-term system health against new delivery.
Drive cross-functional alignment by articulating methodology, challenging assumptions, and building consensus.
Mentor team members, support onboarding, contribute to technical hiring, and share knowledge through documentation and presentations.
Collaborate across Research, Global Intelligence, Product, and Engineering to move research into production systems.

Requirements

Deep expertise in statistics, machine learning, computer science, physics, mathematics, or another quantitative discipline demonstrated through advanced industry or research work.
Expert-level proficiency in Python and SQL with a track record of writing clean, testable, production-quality code.
Demonstrated experience applying advanced analytical techniques like graph algorithms, machine learning, and statistical inference to large, messy datasets.
Demonstrated ability to learn unfamiliar technical domains and data models quickly.
Proven ability to own and prioritise multiple concurrent projects or systems and drive stakeholders toward delivery.
Analytical, open-minded problem-solving approach with comfort navigating ambiguity.
Strong written and verbal communication skills for explaining complex methodology and mentoring practitioners.

Nice to Have

A PhD or equivalent research training in a quantitative field.
Familiarity with Databricks, dbt, Spark, PySpark, or similar large-scale data platforms.
Experience modifying infrastructure-as-code such as Terraform or contributing to production data pipelines.
Experience building shared tools or platforms that multiply team output.
Experience with UTXO, EVM, or other blockchain data, graph computation, and the cryptocurrency ecosystem.

Skills and Tools

Python
SQL
Databricks
dbt
PySpark / Spark
Terraform
AWS
Postgres

About the Company

Chainalysis operates as a blockchain data platform that connects the movement of digital assets to real-world services. Powered by deep blockchain data and artificial intelligence, the organisation helps entities investigate illicit activity, manage risk exposure, and develop market solutions. The company is dedicated to building trust in blockchains while blending safety and security with a commitment to growth and innovation.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PythonSQLDatabricksdbtPySparkSparkTerraformAWSPostgresMachine Learning

Questions candidates ask

Where is the Staff Data Scientist position located?

The role is located at the Chainalysis London Office.

Is prior blockchain experience mandatory for this role?

Prior blockchain experience is welcome but not required, as long as the candidate demonstrates an ability to learn unfamiliar technical domains quickly.

What programming languages are required for the position?

Expert-level proficiency in Python and SQL is required.

What optional qualifications are beneficial for applicants?

Beneficial qualifications include a PhD in a quantitative field, familiarity with platforms like Databricks, dbt, or Spark, experience with Terraform, and background in blockchain data or graph computation.

Ready to apply?

The application is on the official chainalysis-careers careers page.

Apply on company site