Senior Data Scientist

About the role

The engineering team at Chainalysis is building an AI‑driven platform for blockchain analysis. We are looking for a Senior Data Scientist to join the Research and Intelligence organisation in London, working within the Account and Smart Contracts chapter to develop behavioural heuristics, graph algorithms and machine learning techniques.

Key responsibilities

• Own the execution of one or more production data‑science projects, translating broad problem statements into well‑scoped tasks and credible analytical results.
• Design, develop, and validate novel behavioural heuristics and algorithms over EVM blockchain data to attribute on‑chain activity and uncover new insights.
• Apply advanced techniques such as graph computation, statistical modelling and machine learning to large‑scale on‑chain datasets.
• Identify and resolve inefficiencies in code, methodology and workflows, ensuring clean integration into the production data and tooling stack.
• Clearly articulate and defend methodology and results to both technical and non‑technical stakeholders.
• Mentor junior team members, contribute to technical hiring and share knowledge.
• Collaborate closely with peers to bring research from prototype to production.

Required profile

• A PhD in computer science, machine learning, statistics, physics, mathematics or a related field – or equivalent industry experience.
• Expert‑level proficiency in Python and SQL, with a track record of writing clean, testable, production‑quality code.
• Demonstrated experience applying advanced analytical techniques (graph algorithms, ML, statistical inference) to large, messy datasets.
• Comfort working with EVM‑based blockchain data, or strong aptitude to ramp up quickly on blockchain structures.
• Proven ability to take ownership of projects, decompose requirements, drive them to completion and seek clarity from stakeholders.
• Analytical, open‑minded approach to problem solving and comfort navigating ambiguity.
• Strong written and verbal communication skills for explaining complex methodology to diverse audiences.

Required skills

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