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- Tasks: Lead the strategy and development of ML/AI products while engaging stakeholders.
- Company: Join Virgin Holidays, a leader in travel innovation.
- Benefits: Enjoy hybrid working, competitive salary, and career growth opportunities.
- Other info: Dynamic role with a focus on product adoption and stakeholder engagement.
- Why this job: Shape the future of travel with cutting-edge data science and AI.
- Qualifications: Strong data science experience and technical skills in Python and AWS.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Virgin Holidays or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data science projects, especially those involving machine learning and AI. This will not only demonstrate your technical prowess but also your ability to translate complex concepts into actionable insights.
✨Tip Number 3
Prepare for the interview by brushing up on your communication skills. Practice explaining your past projects and how they align with the role of Data Product Manager. Remember, it’s all about showing how you can engage stakeholders and drive product adoption.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Data Product Manager - ML/AI Strategy & Adoption
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. Don’t just repeat your CV; instead, share specific examples of how you've successfully engaged stakeholders or led product adoption.
Showcase Your Technical Skills: Since this role requires strong technical skills, be sure to mention your proficiency in tools like Python and AWS. If you have any certifications or notable projects, include them to stand out from the crowd.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s a straightforward process, and we can’t wait to see what you bring to the table!
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 you'll be translating business needs into product requirements, it’s crucial to understand Virgin Holidays' goals and how data products can drive those. Research their current offerings and think about how you can enhance them with data-driven strategies. This will help you demonstrate your strategic thinking during the interview.
✨Engage Stakeholders Like a Pro
Prepare examples of how you've successfully engaged stakeholders in past roles. Think about how you communicated complex data insights to non-technical audiences. Being able to convey your ideas clearly will be key, so practice explaining your past projects in simple terms.
✨Show Off Your Roadmap Skills
Be ready to discuss how you would approach creating a data product roadmap. Think about prioritisation, stakeholder engagement, and how you would measure success. Having a clear vision for product adoption will impress the interviewers and show that you’re ready to take charge.