Senior Data Scientist

P2P; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Chainalysis is seeking a data scientist to own execution of production data science projects, applying advanced techniques to large-scale on-chain datasets.

The ideal candidate will hold a PhD in a related technical field, with expert proficiency in Python and SQL, alongside experience in machine learning and statistical modeling. This role involves mentoring junior team members and collaborating on innovative projects within the blockchain space.

Qualifications

• PhD in computer science, machine learning, statistics, physics, or mathematics.
• Expert-level proficiency in Python and SQL.
• Experience with advanced analytical techniques on large datasets.
• Comfort with EVM-based blockchain data.

Responsibilities

• Own execution of production data science projects.
• Design and validate behavioral heuristics over blockchain data.
• Apply advanced techniques to large-scale datasets.
• Mentor junior team members and share knowledge.

Skills

Python

SQL

Statistical modeling

Machine learning

Graph computation

Education

PhD in computer science or related field

Tools

Databricks

DBT

Spark/PySpark

Terraform

AWS

Postgres

Job description

In this role, you'll

• Own the execution of one or more production data science projects, translating broad problem statements into well‑scoped tasks and credible analytical results that meet stakeholder expectations.
• Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on‑chain activity and uncover new insights.
• Apply advanced techniques including graph computation, statistical modeling, and machine learning to large‑scale on‑chain datasets.
• Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack.
• Clearly articulate and defend methodology and results to both technical and non‑technical stakeholders, maintaining alignment through consistent communication.
• Mentor junior team members, contribute to technical hiring, and share knowledge.
• Collaborate closely with peers to bring research from prototype to production.

We're looking for candidates who have

• A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data‑intensive problems.
• Expert‑level proficiency in Python and SQL, with a track record of writing clean, testable, production‑quality code.
• Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets.
• Comfort working with EVM‑based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols.
• A demonstrated ability to take ownership of projects: decomposing requirements, driving them to completion, and proactively seeking clarity from stakeholders.
• An analytical, open‑minded approach to problem solving – comfortable navigating ambiguity and willing to dive into problems outside your day‑to‑day scope.
• Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences.

You might also have

• Familiarity with Databricks, DBT, Spark/PySpark, or similar large‑scale data platforms.
• Modified infrastructure‑as‑code (e.g. Terraform) or contributing to production data pipelines.
• Mentored junior data scientists or engineers.
• Knowledge of, or passion for, the cryptocurrency and blockchain space.

Technologies we use

• Python
• SQL
• Databricks
• DBT
• PySpark / Spark
• Terraform
• AWS
• Postgres

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know. You can learn more here.