AI Data Product Leader

4 days ago


Crawley, West Sussex, United Kingdom ENGINEERINGUK Full time

Overview

As a seasoned AI professional, you'll have the opportunity to lead the transformation of data into actionable insights at Virgin Atlantic. This role will empower decision support for colleagues and customers through AI-driven products.

In this position, you'll guide the development of high-performance, scalable AI solutions, collaborating closely with data scientists, engineers, and top development partners. You'll engage stakeholders to ensure our products deliver measurable value, and stay ahead of the latest ML and AI advancements to drive continuous improvement.

With a focus on quality, standards, and user adoption, your impact will be lasting, helping Virgin Atlantic leverage AI innovation at scale.

Responsibilities

  1. Drive the development and execution of data science & compound AI products, collaborating closely with diverse teams.
  2. Determine data requirements and develop strategies for data collection, storage, and analysis.
  3. Successfully implement machine learning algorithms and predictive models to extract valuable insights from data – managed as products that may include custom simulation applications, consumable endpoints and natural language interfaces (via LLMs and other frontier model components).
  4. Promote the implementation of effective approaches and uphold superior quality standards in data management and analysis – ensuring the veracity and explainability of model outputs and recommended or automated action.
  5. Provide guidance and mentorship to the data product and data science teams, fostering a culture of learning and growth.

About You

  • Demonstrated proficiency in data science, machine learning or data engineering with a focus on developing and implementing data products.
  • Advanced degree (Master's or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline, or equivalent practical experience.
  • Strong knowledge of statistical analysis, machine learning, and data visualisation techniques.
  • Strong proficiency in data science tools and technologies such as Python, R, TensorFlow, PyTorch, SQL, and cloud-based platforms like Azure or AWS.
  • Demonstrated drive and motivation, consistently delivering impactful data solutions.

Our company is committed to being an inclusive place where everyone can thrive. We welcome applicants from diverse backgrounds and believe in creating a work environment that values individuality and fosters growth.



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