Head of Data Science

Posted 15 February 2024
Salary £90000 - £110000 per annum
LocationLondon
Job type Permanent
Discipline Data Science & Data Engineering
ReferenceBH-3717
Contact NameDavid Creasey

Job description

Head of Data Science – London/Hybrid - £Excellent

Our industry leading client is seeking an experienced and dynamic Head of Data Science to lead their data science initiatives and the UK team. This pivotal role requires a blend of technical expertise, leadership skills, and a passion for innovation in the field of data science. The ideal candidate will spearhead the development of cutting-edge data science solutions, overseeing the full project lifecycle from conception to implementation.

Key Responsibilities:
  • Lead the development and maintenance of efficient, low-latency ETL pipelines for data processing and prototype development.
  • Design and execute complex SQL queries for advanced data cleaning, preprocessing, and analysis of large, unstructured data sets.
  • Drive the utilisation of sophisticated machine learning algorithms and techniques to enhance model development and deployment accuracy.
  • Collaborate closely with product managers and software engineers to integrate data science solutions into the SaaS products.
  • Provide innovative approaches to data science challenges, allocating time for exploratory data analysis and efficient feature development.
  • Regularly contribute high-quality code to cloud-based software repositories and ensure adherence to best practices.
  • Mentor and oversee junior data science team members, guiding them in feature engineering, data annotation, and model implementation.

Technical Skills and Experience:
  • Minimum of 5 years of experience in a data science role, with a strong focus on Python and SQL.
  • Some experience of Large Language Models (LLMs).
  • Proven experience in building, querying, and modifying relational databases (e.g., SQL Server, Postgres, MySQL).
  • Extensive experience in cloud computing environments, preferably AWS, and familiarity with Databricks and Apache Spark.
  • Demonstrated ability in developing and deploying machine learning models, including techniques like Random Forests, Neural Networks, and Support Vector Machines.
  • Experience in data visualisation using tools like Looker, Data Studio, or Tableau.
  • Any Marketing sector knowledge/background would be advantageous (but not essential)
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering) is preferred.

Professional Qualities:
  • Exceptional leadership and team management skills.
  • Strong problem-solving abilities and meticulous attention to detail.
  • Effective communication skills, capable of presenting complex data concepts clearly.
  • A commitment to quality assurance and accuracy in data and model outputs.

What’s on Offer:
  • A leadership role in a dynamic, innovative work environment.
  • Opportunities for personal and professional growth in a technically advanced setting.
  • A competitive salary and comprehensive benefits package, including flexible working options.
  • Access to state-of-the-art tools and technologies.