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- Tasks: Lead data science initiatives to transform datasets into strategic business insights.
- Company: Join a leading ecommerce organisation at the forefront of innovation.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape the future of ecommerce.
- Other info: Dynamic role with potential for significant career advancement.
- Why this job: Be a visionary in AI and ecommerce, driving impactful decisions with data.
- Qualifications: Expertise in Agentic AI, LLMs, and proven leadership in data science.
The predicted salary is between 80000 - 100000 £ per year.
Harnham is seeking a Head of Data Science in the United Kingdom to define and deliver the data vision within a leading ecommerce organisation. This pivotal leadership role will focus on converting rich datasets into commercial advantage, influencing decision-making throughout the business, and developing a high-performing data science team.
Candidates should have expertise in Agentic AI, LLMs, and Ecommerce to excel in this critical position.
Head of Data Science – AI & Ecommerce Visionary in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science – AI & Ecommerce Visionary in England
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can display your projects and achievements in data science, especially those related to AI and ecommerce. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Agentic AI and LLMs. We recommend practising common interview questions and scenarios specific to data science roles. The more prepared you are, the more confident you'll feel!
✨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’s super easy to navigate and find the right role for you.
We think you need these skills to ace Head of Data Science – AI & Ecommerce Visionary in England
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science shine through! We want to see how your experience with Agentic AI and LLMs can bring value to our ecommerce vision.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your leadership experience and any successful projects you've led in data science. We love seeing how you've turned datasets into commercial success!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit. Share specific examples of how you've influenced decision-making in previous roles and how you plan to develop a high-performing team with us.
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 from our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science, especially around Agentic AI and LLMs. Be prepared to discuss how these can be applied in an ecommerce context, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to lead a team effectively. Think of examples from your past where you've successfully managed a team or project. Highlight your approach to mentoring and developing talent, as this is crucial for building a high-performing data science team.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Practice articulating your thought process clearly and logically. This will demonstrate your ability to convert datasets into actionable insights, which is key for influencing decision-making within the organisation.
✨Align with the Company’s Vision
Research Harnham and their ecommerce focus thoroughly. Understand their business model and how data science plays a role in it. During the interview, express how your vision aligns with theirs and how you can contribute to their goals, making you a perfect fit for the role.