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For Companies At a Glance
- Tasks: Lead data science projects, turning data into actionable insights for key business decisions.
- Company: Join Virgin Atlantic, a leading travel company focused on innovation and excellence.
- Benefits: Enjoy hybrid working, competitive salary, and a culture that celebrates diversity and inclusion.
- Why this job: Drive impactful analytics projects while mentoring teams in a collaborative environment.
- Qualifications: Advanced degree in Data Science or related field with extensive experience in analytics leadership.
- Other info: Be part of a mission-driven team that values empowerment and creativity.
The predicted salary is between 43200 - 72000 £ per year.
Job Details
Salary: Competitive
Hours: Full Time
Location: Hybrid working – The VHQ Crawley 3x days on site and 2 days from wfh
Contract: Permanent
Closing Date: 19th January 2025
In a nutshell
Are you ready to drive Data Science at Virgin Atlantic? As the Senior Manager – Principal Data Scientist (Analytics) , you will be the top statistician and technical authority in data science and advanced analytics. You will develop and oversee a strategic roadmap that aligns data analytics projects with business objectives, driving significant value through high-impact projects.
In this role, you will lead data science projects that focus on large amounts of data, modelling and statistics, turning data into actionable insights for key business decisions. As the expert in statistical analysis, you will provide technical guidance to stakeholders, collaborate with the Senior Manager – Principal Data Scientist (ML), Senior Manager – Advanced Analytics and mentor the Operational Research and Data Science Manager and broader data science & analytics teams.
You will explore and implement innovative statistical methodologies and tools, fostering a culture of experimentation and excellence. Your ability to communicate complex analytical concepts clearly will ensure that insights are accessible and actionable for non-technical stakeholders, driving strategic decisions across the organisation – balancing analytical methods with machine learning.
Day to day
- Provide coaching, technical guidance, and support to both the Data & AI team and senior leadership.
- Continuously assess new analytical methodologies and technologies for business feasibility, driving innovation.
- Implement best practices for data analysis lifecycle management, including experimentation, versioning, and efficacy testing.
- Lead the integration of analytical models with business users and applications, facilitating seamless interactions.
- Develop and oversee the strategic roadmap for analytics & ML initiatives alongside your fellow Senior Managers, ensuring alignment with business goals.
- Set and optimise standards for data analysis, curation, maintenance, and provisioning with engineering and platform teams.
- Serve as the thought leader and technical delivery leader in Data Science and Analytics, specialising in statistical analysis and data-driven decision-making, complementing ML-driven and insight approaches to problems.
- Communicate complex analytical concepts and results to non-technical stakeholders, ensuring alignment with business objectives.
About you
- Excellent communication and collaboration skills, with the ability to convey complex analytical concepts to non-technical stakeholders and work effectively with cross-functional teams.
- Strong knowledge of cloud technologies and tools, particularly in environments such as Azure, AWS, and Databricks.
- Proficiency in data analysis lifecycle management, including experimentation, versioning, efficacy testing, and production with experience in analytics processes.
- Strong understanding of the fundamentals of statistical methodologies and a deep curiosity of the field.
- Deep expertise in statistical analysis and predictive modelling, with a strong track record of developing, deploying, and maintaining high-performance analytical models.
- Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, or a related discipline, or equivalent practical experience.
- Extensive experience in data science and analytics, within a senior leadership role overseeing analytical projects and teams.
Our recipe for leadership
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.
Be yourself
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. #J-18808-Ljbffr
Senior Manager - Principal Data Scientist (Analytics) employer: VIRGIN ATLANTIC LIMITED
Contact Detail:
VIRGIN ATLANTIC LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - Principal Data Scientist (Analytics)
✨Tip Number 1
Familiarize yourself with the latest trends in data science and analytics, especially in statistical methodologies. This will not only help you in interviews but also demonstrate your commitment to staying at the forefront of the field.
✨Tip Number 2
Network with professionals in the data science community, particularly those who work in similar roles or industries. Engaging in discussions about innovative analytical methodologies can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data-driven decision-making. Highlight your role in leading teams and how your contributions directly impacted business outcomes.
✨Tip Number 4
Showcase your ability to communicate complex concepts clearly by practicing explaining your past projects to non-technical audiences. This skill is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Senior Manager - Principal Data Scientist (Analytics)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Manager - Principal Data Scientist position. Understand the key responsibilities and required skills, especially in statistical analysis and data-driven decision-making.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, analytics, and leadership roles. Emphasize your expertise in statistical methodologies and any experience with cloud technologies like Azure or AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to communicate complex concepts to non-technical stakeholders. Mention specific projects where you drove significant value through data analytics.
Highlight Collaboration Skills: In your application, emphasize your excellent communication and collaboration skills. Provide examples of how you've worked effectively with cross-functional teams and mentored others in the field of data science.
How to prepare for a job interview at VIRGIN ATLANTIC LIMITED
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with statistical methodologies and predictive modeling. Highlight specific projects where you turned complex data into actionable insights, demonstrating your ability to lead high-impact analytics initiatives.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex analytical concepts in simple terms. This role requires you to bridge the gap between technical and non-technical teams, so showcasing your communication skills will be crucial during the interview.
✨Demonstrate Leadership and Collaboration Skills
Prepare examples of how you've successfully led teams and collaborated across departments. Emphasize your ability to mentor others and drive innovation within a team setting, as this is key for the Senior Manager position.
✨Familiarize Yourself with Relevant Technologies
Brush up on your knowledge of cloud technologies like Azure, AWS, and Databricks. Be ready to discuss how you've utilized these tools in past projects, as familiarity with these platforms is essential for the role.
