Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, competitive salary, and opportunities for professional development.
- Why this job: Make a significant impact on customer retention and explore new growth opportunities.
- Qualifications: 7+ years of data science experience and strong stakeholder management skills.
- Other info: Join a collaborative team dedicated to pushing the boundaries of data science.
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 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
✨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 Head of Data Science role. 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 skills! Prepare a portfolio that highlights your best predictive models and projects. When you get the chance to chat with potential employers, share these examples to demonstrate your expertise and how you can drive innovation.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to appear. Reach out directly to companies you admire, like ours, and express your interest in contributing to their data science strategy. A little initiative can go a long way!
✨Tip Number 4
Stay flexible and open-minded! With a hybrid working model becoming the norm, be ready to discuss how you can adapt to different working environments. Highlight your commitment to collaboration and stakeholder management during interviews.
We think you need these skills to ace Head of Data Science & ML Strategy
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 can drive 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 Stuff
Make sure you brush up on the latest trends and techniques in data science and machine learning. Be ready to discuss your past projects, especially those involving predictive models, as this will show your expertise and how you can enhance their modelling capabilities.
✨Stakeholder Management is Key
Since this role involves a lot of stakeholder interaction, prepare examples of how you've successfully managed relationships in the past. Think about times when you influenced decisions or collaborated with different teams to drive results.
✨Show Your Strategic Thinking
Be prepared to discuss how you would approach designing and deploying predictive models for their business needs. Think strategically about customer retention and growth opportunities, and be ready to share your vision on how data science can support these goals.
✨Embrace the Hybrid Model
Understand the benefits of a hybrid working model and be ready to discuss how you can effectively collaborate with a team both in-person and remotely. Highlight any experience you have with remote teamwork and how it has contributed to your success in previous roles.