Data Science Lead

You will lead and grow a data science team while remaining hands-on with code, research, and technical decisions. You will define and deliver datasets and model capabilities, establish model-governance evidence and monitoring, hire and develop data scientists, and partner across functions to deliver reliable platform capabilities.

Responsibilities

• Lead, develop, and manage data scientists, including setting objectives, managing performance, and creating development paths
• Own end-to-end hiring for additional data scientists
• Define, sequence, and deliver data collections for future compliance capabilities
• Maintain model inventory, tiering, validation, testing evidence, monitoring, review submissions, and issue remediation
• Frame research questions, run initial experiments, and recommend data science direction
• Write code, review technical methods, and make key technical decisions
• Own the reliability and trade-offs of clustering, attribution, heuristics, and labelling work
• Partner with collection, research, investigations, product, and engineering functions
• Set and enforce AI usage and verification standards for the team

Requirements

• Demonstrated experience managing data scientists or machine learning engineers, including performance management and people development
• Experience hiring into a technical team and defining the hiring bar
• Deep hands-on data science and machine learning capability
• Strong Python and SQL skills
• Ability to interrogate large behavioural or transactional datasets and defend methodology
• Track record of delivering datasets, models, or capabilities from ambiguous questions
• Experience with a cloud data lake, Spark or Databricks, and AWS
• Clear communication with technical and non-technical stakeholders
• AI fluency, including applying and critically evaluating AI tools in data science workflows
• Based in Washington, D.C. or willing to relocate there
• US citizenship

Benefits

• Hybrid working
• Option to work from almost anywhere for up to 90 days per year
• £500 remote working budget
• $1,000 learning and development budget
• 25 days of annual leave plus bank holidays
• Additional birthday leave day
• 16 weeks of fully paid parental leave for eligible employees
• Private health insurance
• Access to Spill mental health support
• Life assurance coverage of four times salary
• Cycle to Work Scheme