Job Details
Salary: Competitive
Hours: Full Time
Location: Hybrid working -The VHQ Crawley
Contract: Permanent
Closing Date: 11th November 2024
In a nutshell
Are you ready to be the driving force behind data analytics at Virgin Atlantic? As the Senior Manager - Principal Data Scientist (Analytics), you will serve as the leading statistician and technical authority in advanced analytics, specializing in Causal ML, Traditional ML, and ensuring statistical rigor across all initiatives. You will develop and oversee a strategic roadmap that aligns data analytics and statistical projects with business objectives, driving significant value through a diverse portfolio of high-impact projects.
In this role, you will lead the design and execution of advanced analytics projects, turning data from internal and external sources into actionable insights and developing predictive models that inform key business decisions. As the central expert in statistical analysis, you will provide technical guidance to stakeholders, collaborate closely with the Senior Manager - Principal Data Scientist (ML), and mentor the Operational Research and Data Science Manager and the broader data science team.
You will continuously explore and implement innovative statistical methodologies and tools, fostering a culture of experimentation, learning, and excellence within the team. Your ability to communicate complex analytical concepts in a clear and impactful way will ensure that insights are accessible and actionable for non-technical stakeholders, helping to drive strategic decisions across the organization.
If you are passionate about leading in the field of advanced analytics and ready to make a transformative impact at Virgin Atlantic, this is your opportunity to guide our analytics strategy and elevate the role of data in shaping the future of travel.
Day to day
- 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.
About you
- Extensive experience in data science and machine learning, within senior leadership role overseeing ML projects and teams.
- Advanced degree (Master's 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 Foundation & Frontier Models, familiarity with the practicalities and architectures of Generative AI and a deep curiosity of the field.
- Proficiency in ML model lifecycle management, including experimentation, versioning, efficacy testing, and production 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.
Internal info
Hiring manager: Richard MastersGrade: E
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