Join us

Lead Data Scientist - London / Washington DC

London and Washington DC | Closing date

We’re looking for an experienced Lead Data Scientist to join our team in our London or Washington DC office.

The role

Main Duties and Responsibilities:

  • Ownership and responsibility for delivery of client and internal projects within the Applied Data Science team.
  • Leading teams of up to 5 data scientists and data engineers in project delivery.
  • Provide oversight and direction to the Applied Data Team.
  • Project scoping and post-sales technical support. Foster a spirit of teamwork amongst team members, and demonstrate a workplace culture that aligns with the SCL Group company culture.
  • Coach, mentor and develop team members, supporting them in achieving individual goals and objectives.
  • Communicate updates regularly with other managers, directors and senior management, and team needs to the Core and Engineering teams.
  • Empower team members to take responsibility for their role and individual objectives.
  • Regularly communicate and exchange feedback with individual team members, participate in a program of performance review.

Other Responsibilities:

  • Delegate responsibility and effectively, ensure accountability, and provide regular feedback (both positive and negative).
  • Facilitation of knowledge sharing.
  • Development of processes and procedures to enhance quality, efficiency and productivity of team.
  • Communicate updates regularly with other managers, directors and senior management.
  • Disseminate organisation information through department meetings, one-on-one meetings and appropriate emails, IM and regular interpersonal communication.
  • Maintain organisation’s expectations for productivity, quality and timeliness.
  • Management of early stage recruitment pipeline.

Skills and Abilities

  • Knowledge and application of machine learning techniques to real world problems.
  • Hands-on programming experience using Python for machine learning with SciPy stack and scikit-learn.
  • Applied knowledge of SQL and databases.
  • Some knowledge of object-oriented programming paradigms, unit testing, version control and documentation.
  • Applying abstract mathematical concepts to noisy real-world data.
  • The ability to work effectively with people from a variety of backgrounds.
  • Strong knowledge of fundamental statistics and experience applying abstract mathematical concepts to noisy real-world data.
  • Ability to balance multiple projects, often with simultaneous and competing deadlines.
  • Takes ownership and accountability for tasks.
  • Scopes projects for feasibility and provides input to statements of work.
  • Effective at communicating to clients the complex methodologies used and the real world impact of results.
  • Communicates effectively with technical and non-technical audiences, both verbally and on paper.

Desirable Skills

Experience with, or a keen desire to gain experience with, big data technologies such as Hadoop and Spark.


  • Breadth and depth of applying data science concepts to client projects.
  • Experience of applying multiple data science and machine learning techniques to a range of datasets, delivering insight or business value for end customers.
  • Experience of leading and managing teams of up to 5 data analysts, data scientist and data engineers.
  • Political, B2C or media experience (beneficial).


Master's or PhD level qualification in physics, mathematics, engineering, computer science, or a similarly quantitative field.

Availability: Immediate

Salary: Competitive

Please apply by sending your cover letter and cv to