Staff Data Scientist

About This Opportunity

We are representing a confidential blockchain analytics organization seeking a Staff Data Scientist to join their Research and Intelligence team in London. Our client is a global leader in cryptocurrency data intelligence, and this role offers the opportunity to work on cutting-edge analytical challenges at the intersection of statistics, machine learning, and large-scale blockchain data.

You'll lead technical work across flexible, cross-functional squads, developing behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that power advanced blockchain analysis. Much of this work is state of the art and ahead of academia—your contributions will directly shape data products used by customers globally.

Responsibilities

• Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work and delivering measurable outcomes
• Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity
• Stay current on advances in data science and blockchain analysis; evaluate and pilot techniques such as graph computation, statistical modelling, and machine learning on large-scale datasets
• Identify and resolve inefficiencies in code, methodology, and workflows; make architectural decisions; define quality metrics; and balance technical debt against new delivery
• Drive cross-functional alignment by clearly articulating methodology and results, challenging assumptions, and building consensus as requirements evolve
• Mentor team members across levels, support onboarding, contribute to technical hiring, and share knowledge through documentation and presentations
• Collaborate across Research, Intelligence, Product, and Engineering to move prototypes to production systems and create tools that multiply team output

What We're Looking For

Required qualifications:

• 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 (graph algorithms, ML, statistical inference) to large, messy datasets
• Proven ability to learn unfamiliar technical domains and data models quickly (prior blockchain experience welcome but not required)
• Track record of owning multiple concurrent projects, making sound architectural decisions, and driving cross-functional stakeholders toward delivery
• Analytical, open-minded problem-solving approach—comfortable navigating ambiguity and diving into problems outside your core scope
• Strong written and verbal communication skills, including explaining complex methodology to diverse audiences and mentoring technical practitioners

Preferred qualifications:

• PhD or equivalent research training in a quantitative field
• Familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms
• Experience with infrastructure-as-code (Terraform) or production data pipelines
• Experience building shared tools or platforms and onboarding others
• Experience with UTXO, EVM, or other blockchain data and graph computation

Technical stack includes: Python, SQL, Databricks, dbt, PySpark/Spark, Terraform, AWS, Postgres

How We Work With You

When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your background and ensure alignment with our client's requirements. If we mutually agree you're a strong match, we'll submit your profile to the client organization for consideration and guide you through their interview process. Please apply exclusively through our platform—direct contact with the client is not part of this process and may disqualify your application.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive recruitment practices. We welcome applicants across all backgrounds, experiences, and identities. If you require accommodations during our process, please let us know.