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- Tasks: Lead a team in solving complex data challenges like recommendations and pricing.
- Company: Join a well-established e-commerce client in the heart of Central London.
- Benefits: Enjoy a competitive salary and flexible work with 3 days in the office.
- Why this job: Shape the future of data science while making a real impact in e-commerce.
- Qualifications: 8-12 years in Data Science, with leadership experience preferred.
- Other info: Ideal for those passionate about team development and innovative solutions.
The predicted salary is between 110000 - 130000 £ per year.
One of our most established clients is in the market for a Head of Data Science to join their ranks and lead the Data Science function.
You will be responsible for taking over the initial team members as well as developing out the function in their Head of Data Science capacity. You will be working on a multitude of problems such as recommendations, pricing, personalization and more, managing a team of circa 5 individuals.
If this Head of Data Science role is of interest to you then we need to see the following:
- Circa 8-12 years in Data Science experience, ideally some within a Data Science Manager or Head of Data Science capacity
- A background within a multitude of areas such as Personalization, Pricing and more.
- Track record in developing teams and putting leadership structure in place.
- Product management experience as a plus
- Excellent senior leadership skills
And for the most part with this Head of Data Science role, that is it so apply now for immediate consideration.
Head of Data Science employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network with professionals in the data science field, especially those who have experience in e-commerce. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experiences where you successfully managed a team or project. Be prepared to share specific examples of how you developed team members and implemented effective structures.
✨Tip Number 3
Familiarise yourself with the latest tools and technologies used in data science, particularly those relevant to personalisation and pricing strategies. This knowledge will help you stand out as a candidate who is ready to lead.
✨Tip Number 4
Prepare to discuss your vision for the data science function within an e-commerce context. Think about how you would approach challenges like recommendations and personalisation, and be ready to share your ideas during interviews.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8-12 years of Data Science experience, especially any roles where you were a Data Science Manager or Head of Data Science. Emphasise your background in Personalization and Pricing, as well as your leadership skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your experience aligns with the company's needs. Mention specific projects or achievements that demonstrate your ability to lead a team and develop data science functions.
Showcase Leadership Experience: Highlight any previous experience in developing teams and establishing leadership structures. Provide examples of how you've successfully managed teams and driven results in your past roles.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Leadership Experience
As a Head of Data Science, you'll be expected to lead a team. Be prepared to discuss your previous leadership roles, how you've developed teams, and the structures you've implemented. Use specific examples to illustrate your impact.
✨Demonstrate Technical Expertise
With 8-12 years in Data Science, you should be well-versed in various methodologies. Be ready to talk about your experience with recommendations, pricing models, and personalisation techniques. Highlight any relevant projects that showcase your skills.
✨Understand the Business Context
E-commerce is a fast-paced environment. Familiarise yourself with the company's products and market position. Discuss how your data science strategies can drive business outcomes, such as improving customer experience or increasing sales.
✨Prepare Thoughtful Questions
Interviews are a two-way street. Prepare insightful questions about the company's data strategy, team dynamics, and future challenges. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
