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- Tasks: Lead a team to deliver strategic data-driven solutions and shape product experiences.
- Company: A leading rail technology company in the UK with a focus on innovation.
- Benefits: Competitive salary, opportunities for advancement, and a culture of experimentation.
- Why this job: Make impactful decisions and advance AI and data capabilities in a dynamic environment.
- Qualifications: Experience managing data-driven teams and strong communication skills.
- Other info: Foster a culture of learning and experimentation while driving strategy.
The predicted salary is between 48000 - 72000 £ per year.
A leading rail technology company in the UK seeks a Head of Data Science to lead a team in delivering strategic data-driven solutions. You will shape the product experience through deep customer insights and influence the long-term vision.
The ideal candidate has experience in managing data-driven teams within tech and an ability to communicate complex analyses clearly. This role allows for impactful decision-making and advancement of the company's AI and data capabilities while fostering a culture of experimentation and learning.
Head of Data Science & Analytics - Drive Strategy & Impact employer: Trainline
Contact Detail:
Trainline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & Analytics - Drive Strategy & Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your data-driven projects and analyses. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s current data initiatives and think about how you can contribute to their strategy. Be ready to share your insights on how to enhance their AI and data capabilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Head of Data Science & Analytics - Drive Strategy & Impact
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your experience in managing data-driven teams. We want to see how you've shaped product experiences and influenced long-term visions in your previous roles.
Communicate Clearly: Since the role involves communicating complex analyses, ensure your application reflects your ability to convey intricate ideas simply. Use clear language and avoid jargon where possible – we appreciate straightforward communication!
Emphasise Impact: We’re looking for someone who can drive strategy and impact. In your application, share specific examples of how your work has led to significant outcomes or advancements in AI and data capabilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to foster a culture of experimentation and learning.
How to prepare for a job interview at Trainline
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science and analytics. Brush up on your knowledge of AI applications in the rail industry, as this will show your potential employer that you understand their specific challenges and opportunities.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led data-driven teams in the past. Be ready to discuss your approach to fostering a culture of experimentation and learning, as this aligns perfectly with what they’re looking for in a Head of Data Science.
✨Communicate Complex Ideas Simply
Practice explaining complex analyses in a straightforward manner. Use relatable examples or analogies to demonstrate your ability to communicate effectively with non-technical stakeholders, which is crucial for influencing long-term vision.
✨Prepare for Strategic Questions
Anticipate questions about how you would drive strategy and impact within the company. Think about specific data-driven solutions you could implement and be ready to discuss how these would enhance the product experience based on customer insights.
