Lead Data Scientist - Consultant

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Lead Data Scientist / Consultant - £100K - £120K - Liverpool Street

A global digital engineering and product development services company is looking for an experienced Lead Data Scientist - Consultant to join the London office.

This is a client-facing role requiring a mix of great communication skills, business acumen, deep technical knowledge and team management experience.

Responsible for developing advanced analytics, statistical models, machine learning methods and solutions. He/she would work independently or managing and coordinating a broader, multidisciplinary team.

Must be comfortable engaging with clients, formulating business proposals, and deliver clear ideas and results to stakeholders.


  • Interacting closely with:
    • Project stakeholders to define priorities and ensure issue resolution
    • SMEs to clarify the business-related and customer-specific questions
    • Development team to get the needed data and implement / deploy the developed solution
  • Winning and initiating new projects.
  • Identifying the business problems and finding the right data and methods to address them.
  • Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources


  • MSc/PhD Degree in Statistics, Mathematics, Computer science, Economics or related scientific disciplines
  • Strong Data Science experience
  • Consulting experience more than welcomed although not essential
  • Proven record of successful data science/BI/analytics projects.
  • Experience in managing/coordinating a team
  • Proficiency in statistical tools/languages - R, SAS, Python NumPy / SciPy
  • Familiarity with relational databases and intermediate level knowledge of SQL
  • Experience working with large data sets and tools like MapReduce, Hadoop, Hive, Spark
  • Data-focused applied mathematics (Classification ad Regression Models, Cluster Analysis, Deep Learning, Non-parametric Methods)
  • Experience in two or more of the following domains: Retail, Digital Marketing, eCommerce, Health, Supply Chain, Banking, Telecom, or Digital Media