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- Tasks: Lead the strategy and development of ML/AI products at Virgin Holidays.
- Company: Join a leading travel company focused on innovation and technology.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on product adoption and stakeholder engagement.
- Why this job: Shape the future of travel with cutting-edge data science and AI solutions.
- Qualifications: Strong data science experience and proficiency in Python and AWS required.
The predicted salary is between 60000 - 80000 £ per year.
Virgin Holidays is looking for a Manager - Data Product (Data Science) to lead the strategy and development of machine learning and AI products. You will own the data science product roadmap, engage stakeholders, and ensure product adoption while translating business needs into actionable product requirements.
The ideal candidate has strong data science experience, technical skills with tools like Python and AWS, and excellent communication skills. This position offers hybrid working in Crawley.
Data Product Manager - ML/AI Strategy & Adoption in Crawley employer: Virgin holidays
Contact Detail:
Virgin holidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager - ML/AI Strategy & Adoption in Crawley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Virgin Holidays. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills! If you've got experience with Python and AWS, make sure to highlight specific projects or achievements. We want to see how you've used these tools to drive results.
✨Tip Number 3
Prepare for the interview by understanding their products and strategy. Dive into their current ML/AI initiatives and think about how you can contribute. This shows you're genuinely interested and ready to hit the ground running!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Product Manager - ML/AI Strategy & Adoption in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Product Manager role. Highlight your data science experience and any relevant projects you've worked on, especially those involving machine learning and AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data products and how your background makes you a great fit for our team. Be sure to mention specific tools like Python and AWS that you’re proficient in.
Showcase Your Communication Skills: Since this role involves engaging stakeholders, make sure to demonstrate your communication skills in your application. Use clear and concise language, and consider including examples of how you've successfully communicated complex ideas in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Virgin holidays
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around machine learning and AI. Be ready to discuss specific projects you've worked on, the tools you used like Python and AWS, and how you tackled challenges. This will show that you’re not just familiar with the concepts but have practical experience.
✨Understand the Business Side
Since this role involves translating business needs into product requirements, it’s crucial to understand Virgin Holidays' business model and how data products can enhance their services. Research their current offerings and think about how you can contribute to their strategy with your insights.
✨Engage Stakeholders Effectively
Prepare to discuss how you’ve engaged stakeholders in past roles. Think of examples where you’ve successfully communicated complex data concepts to non-technical audiences. This will demonstrate your excellent communication skills and ability to bridge the gap between technical and business teams.
✨Show Your Passion for Product Adoption
Product adoption is key in this role, so come prepared with ideas on how to drive user engagement and ensure successful implementation of data products. Share any strategies you’ve used in the past to encourage adoption and gather feedback, as this will highlight your proactive approach.