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- Tasks: Lead the design and deployment of predictive models to drive business decisions.
- Company: Dynamic tech company in London focused on innovation and growth.
- Benefits: Flexible hybrid working model and opportunities for professional development.
- Why this job: Make a significant impact on customer retention and explore new growth avenues.
- Qualifications: 7+ years of data science experience and strong stakeholder management skills.
- Other info: Join a collaborative team dedicated to pushing the boundaries of technology.
The predicted salary is between 54000 - 84000 £ per year.
A tech company is seeking a skilled Head of Data Science in London to enhance its advanced modelling capabilities. This pivotal role includes designing and deploying predictive models that support vital business decisions, influencing customer retention and new growth opportunities.
Candidates should possess at least 7 years of data science experience and a strong commitment to stakeholder management. A hybrid working model is in place, ensuring flexibility for team collaboration while driving innovation.
Head of Data Science & ML Strategy in London employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & ML Strategy in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on opportunities that aren't even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio of your best predictive models and projects. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've influenced business decisions in the past and how you can do the same in this new role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Head of Data Science & ML Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and ML strategy. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Head of Data Science role. Share your vision for enhancing modelling capabilities and how you plan to influence customer retention.
Showcase Stakeholder Management Skills: Since stakeholder management is key for this role, make sure to include examples of how you've successfully collaborated with different teams or clients in your application. We love seeing how you’ve driven innovation through teamwork!
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 during the process!
How to prepare for a job interview at Story Terrace Inc.
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science and machine learning fundamentals. Be prepared to discuss your experience with predictive modelling, as well as any specific algorithms you've used. This will show that you have the technical expertise needed for the role.
✨Showcase Your Stakeholder Management Skills
Since this role involves a strong commitment to stakeholder management, think of examples where you've successfully collaborated with different teams or influenced decision-making. Be ready to explain how you can bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past projects where you had to design and deploy models under pressure. Practising these scenarios will help you articulate your thought process clearly during the interview.
✨Emphasise Your Adaptability in Hybrid Work
With a hybrid working model in place, it's important to demonstrate your adaptability. Share experiences where you've successfully worked in both remote and in-person settings, highlighting how you maintain productivity and collaboration in a flexible environment.