About this role
Data Science Lead is a full-time position located in London, United Kingdom, within the Intelligence team at Elliptic. This player-coach role suits an experienced technical leader who wants to combine hands-on coding and machine learning with managing and growing a data science team.
Role Overview
Data Science Lead is a full-time position based in Elliptic's London, United Kingdom office. The role sits within the Intelligence team and functions as a player-coach position responsible for leading a small team of data scientists while remaining hands-on with technical work. The professional joining this position will direct strategy, manage team performance, handle hiring, and oversee model governance in an environment focused on digital asset decisioning, blockchain intelligence, and compliance.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Elliptic operates as a leader in digital asset decisioning, constructing a comprehensive platform to extract crypto data and intelligence across blockchains with accuracy. Founded in 2013, the company maintains its headquarters in London alongside offices located in New York, Washington D.C., UAE, Singapore, and Tokyo. Exacting organizations utilize the platform for compliance, risk management, intelligence operations, and blockchain infrastructure needs.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Data Science Lead role located?
The position is located in London, United Kingdom, at Elliptic's headquarters.
Is this a purely managerial position?
No, this is a player-coach role where the candidate is expected to lead a team while remaining technically hands-on by writing code and reviewing methods.
What programming languages are required for the role?
The role requires strong proficiency in Python and SQL.
What team does this position sit within?
The position sits within Elliptic's Intelligence team.
What management duties are expected?
Responsibilities include setting objectives, managing performance, handling underperformance, conducting hiring end-to-end, and building career development paths.
