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- Tasks: Analyse market opportunities and optimise pricing strategies using data insights.
- Company: Leading food delivery service in Greater London with a commitment to social impact.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Make a real difference by enhancing decision-making through data analysis.
- Qualifications: Over six years in data science with skills in R, Python, and SQL.
- Other info: Join a team dedicated to improving data literacy and fostering diversity.
The predicted salary is between 43200 - 72000 £ per year.
A leading food delivery service in Greater London is seeking an experienced Data Scientist to enhance decision-making through data analysis. You will analyze market opportunities, optimize policies, and translate business needs into data insights.
Ideal candidates have more than six years in data science, strong communication skills, and proficiency in R, Python, and SQL.
Join a diverse workplace committed to improving data literacy and making a social impact.
Senior Data Scientist — Shape Growth & Pricing Strategy in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist — Shape Growth & Pricing Strategy in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using R, Python, and SQL. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help us refine our communication skills and get comfortable discussing complex data insights.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Scientist — Shape Growth & Pricing Strategy in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with R, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our mission of enhancing decision-making. Let us know what excites you about this role!
Showcase Your Communication Skills: Since strong communication is key for this position, make sure to demonstrate your ability to translate complex data insights into clear, actionable strategies. We love seeing examples of how you've done this in the past!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Deliveroo
✨Know Your Data Tools
Make sure you brush up on your skills in R, Python, and SQL before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or optimise strategies. This will show that you not only have the technical know-how but also practical experience.
✨Understand the Business Context
Research the food delivery service and its market position in Greater London. Familiarise yourself with their growth strategies and pricing policies. Being able to discuss how your data analysis can directly impact their business goals will set you apart from other candidates.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms. You might be asked to present your findings or recommendations, so think about how you can make your insights accessible to non-technical stakeholders.
✨Show Your Passion for Social Impact
This company values making a social impact, so be prepared to discuss how your work in data science can contribute to this mission. Share examples of how you've used data to drive positive change in previous roles, and express your enthusiasm for improving data literacy within diverse teams.
