Job Details
Salary: Competitive
Hours: Full Time
Location: Hybrid working - The VHQ Crawley
Contract: Permanent
Closing Date: 25th September 2024
In a nutshell
Are you passionate about the power of AI and machine learning? As the Manager - Data Product (Data Science) at Virgin Atlantic, you will be at the cutting edge of transforming data into actionable insights through advanced AI initiatives, ultimately enabling augmented and automated decision support for colleagues and customers alike.
You will lead the charge in developing and refining data science & AI focused products, working closely with data scientists, engineers, and top-tier development partners. Your focus will be on creating high-performance, scalable solutions that adhere to best practices, ensuring our AI-driven initiatives are not just innovative but also impactful.
Engaging with key stakeholders, you will gather requirements, provide clear communication on progress, and ensure our products deliver measurable value across the organisation. Staying at the forefront of the latest ML techniques, statistical methods, and compound AI technologies, you will drive continuous improvement and push the boundaries of what is possible.
Quality and user adoption will be in your hands as you set and maintain standards, monitor usage, and offer expert guidance and support to business users. Your work will ensure that we are not only providing cutting-edge products, but also driving the success of Virgin Atlantic.
If you are ready to lead AI innovation and make a significant impact, this is your opportunity to join Virgin Atlantic and elevate your career to new heights.
Day to day
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. Work closely with key individuals to gain insights into business requirements and transform them into practical solutions.
6. Provide guidance and mentorship to the data product and data science teams, fostering a culture of learning and growth.
About you
1. Demonstrated proficiency in data science, machine learning or data engineering with a focus on developing and implementing data products.
2. 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.
3. Strong knowledge of statistical analysis, machine learning, and data visualisation techniques.
4. Exhibited curiosity and experimentation with LLMs and other frontier models and a strong understanding of how to navigate the current landscape of proprietary and open-source models and paradigms.
5. Strong proficiency in data science tools and technologies such as Python, R, TensorFlow, PyTorch, SQL, and cloud-based platforms like Azure or AWS.
6. Demonstrated drive and motivation, consistently delivering impactful data solutions.
7. Effective communication skills and the ability to influence.
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