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- Tasks: Lead data-driven projects using machine learning to boost marketing strategies.
- Company: Top UK retail company with a focus on innovation and eCommerce.
- Benefits: Competitive pay, discounts, flexible working, and hybrid options.
- Why this job: Join a dynamic team and shape the future of marketing with data science.
- Qualifications: Strong data science skills and leadership experience required.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading UK retail company seeks a Lead Data Scientist to join their eCommerce Data team. You will develop data-driven solutions using machine learning and causal inference to enhance marketing strategies.
The ideal candidate has strong skills in data science and analytics, along with leadership experience.
This position works from the Leicestershire Head Office on a hybrid basis, offering competitive compensation and benefits, including discounts and flexible working arrangements.
Lead Data Scientist, Marketing Science — Hybrid & Ecommerce employer: Next Careers
Contact Detail:
Next Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Marketing Science — Hybrid & Ecommerce
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data-driven projects, especially those involving machine learning and marketing strategies. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on explaining complex data science concepts in simple terms, as communication is key in leadership roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Lead Data Scientist, Marketing Science — Hybrid & Ecommerce
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data science and analytics skills in your application. We want to see how you’ve used machine learning and causal inference in past projects, so don’t hold back!
Leadership Experience Matters: Since this role involves leading a team, share any relevant leadership experiences you have. We’re keen to know how you’ve guided others and driven successful outcomes in your previous roles.
Tailor Your Application: Take the time to customise your application for this specific role. Mention how your experience aligns with our eCommerce Data team’s goals and how you can contribute to enhancing marketing strategies.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Next Careers
✨Know Your Data Science Stuff
Make sure you brush up on your data science and analytics skills. Be ready to discuss machine learning techniques and causal inference methods in detail. Prepare examples of how you've used these skills in past projects, especially in a marketing context.
✨Show Off Your Leadership Skills
Since this role requires leadership experience, think about times when you've led a team or project. Be prepared to share specific examples that highlight your ability to guide others and make impactful decisions in a data-driven environment.
✨Understand the Company’s Marketing Strategies
Do some homework on the company’s current marketing strategies and campaigns. This will not only show your interest but also allow you to suggest how your data-driven solutions could enhance their efforts. Tailor your insights to align with their goals.
✨Ask Thoughtful Questions
Prepare a few insightful questions to ask at the end of the interview. This could be about their data infrastructure, team dynamics, or future projects. It shows you're genuinely interested in the role and helps you assess if it's the right fit for you.
