Salary: CompetitiveHours: Full TimeLocation: Hybrid working -The VHQ CrawleyContract: Permanent Closing Date: 11th November 2024 In a nutshell Are you ready to be at the forefront of AI and machine learning
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Senior Manager – Data Science -Machine Learning
Job Description:
Salary: Competitive
Hours: Full Time
Location: Hybrid working -The VHQ Crawley
Contract: Permanent
Closing Date: 11th November 2024

Are you ready to be at the forefront of AI and machine learning innovation? As the Senior Manager - Data Science (Machine Learning) at Virgin Atlantic, youll serve as both the thought leader and technical delivery leader in Data Science, specialising in Traditional ML, Causal ML, and cutting-edge Generative AI (Foundational Models). Your leadership will shape the strategic roadmap for ML and AI initiatives, ensuring every project aligns seamlessly with our business objectives.

In this pivotal role, youll lead the development, testing, and deployment of high-impact ML models, driving their integration into real-world business use cases. Your expertise will ensure that these models are optimised, well-documented, and maintained to the highest standards for reproducibility and compliance.

As the central ML expert, you will provide technical guidance to stakeholders and collaborate with business users to leverage machine learning in solving critical challenges. Your influence will extend to coaching and mentoring the Data Science, Engineering, Advanced Analytics and Product teams.

Passionate about innovation, you will continuously explore and experiment with new ML methodologies and technologies, staying ahead of industry trends. By fostering a culture of experimentation and learning within the team, you will ensure Virgin Atlantic remains at the cutting edge of AI and machine learning.

If youre passionate about advancing AI and eager to shape the future of travel, this is your chance to make a lasting impact at Virgin Atlantic and to truly help our customers see the world differently.
  • Communicate complex ML concepts and results to non-technical stakeholders, ensuring alignment with business objectives.
  • Serve as the thought leader and technical delivery leader in Data Science and Machine Learning, specializing in Traditional ML, Causal ML, and Generative AI.
  • Set and optimize standards for ML model development, curation, maintenance, and provisioning with engineering and platform teams.
  • Develop and oversee the strategic roadmap for ML and AI initiatives, ensuring alignment with business goals.
  • Lead the integration of ML models with business users and applications, facilitating seamless interactions.
  • Implement best practices for ML model lifecycle management, including experimentation, versioning, and efficacy testing.
  • Continuously assess new ML methodologies and technologies for business feasibility, driving innovation.
  • Provide coaching, technical guidance, and support to both the Data Science team and senior leadership.
  • Extensive experience in data science and machine learning within a senior leadership role overseeing ML projects and teams.
  • Advanced degree (Masters or PhD) in Data Science, Statistics, Computer Science, Machine Learning, or a related discipline, or equivalent practical experience.
  • Deep expertise in Traditional (Predictive) ML and Causal ML, with a strong track record of developing, deploying, and maintaining high-performance ML models.
  • Strong understanding of the fundamentals of Foundational Models, familiarity with the practicalities and arhcitecutres of Generative AI and a deep curiosity of the field.
  • Proficiency in ML model lifecycle management, including experimentation, versioning, efficacy testing, and productionization, with experience in ML and AI Ops processes.
  • Strong knowledge of cloud technologies and tools, particularly in environments such as Azure, AWS, and Databricks.
  • Excellent communication and collaboration skills, with the ability to convey complex ML concepts to non-technical stakeholders and work effectively with cross-functional teams.

At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here
Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.

To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, (recruitmentfly.virgin.com) feeling confident that we’ve got your individual considerations covered.
Company Details
Virgin Atlantic
Fleming Way
Crawley, England United Kingdom, International RH10 9DF International
www.virginatlantic.com/us/en
29 Open Jobs Available
Virgin Atlantic uses a mixed fleet of Airbus and Boeing wide-body aircraft and operates to destinations in North America, the Caribbean, Africa, the Middle East and Asia from its main hub at London–Heathrow, and its secondary hub at Manchester
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Job Info
Location
Crawley , England, United Kingdom
Type
Permanent
Company Details
Virgin Atlantic
Fleming Way
Crawley, England United Kingdom, International RH10 9DF International
www.virginatlantic.com/us/en
29 Open Jobs Available
Virgin Atlantic uses a mixed fleet of Airbus and Boeing wide-body aircraft and operates to destinations in North America, the Caribbean, Africa, the Middle East and Asia from its main hub at London–Heathrow, and its secondary hub at Manchester

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