At a Glance
- Tasks: Drive data-driven decisions by analysing market strategies and optimising pricing.
- Company: Leading food and technology company in London with a focus on innovation.
- Benefits: Inclusive work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by improving customer experiences through data insights.
- Qualifications: Strong skills in SQL and Python, with excellent problem-solving abilities.
- Other info: Diverse team culture that values collaboration and creativity.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading food and technology company in London is seeking a Data Scientist to drive data-driven decision-making across various business areas. The role focuses on maximizing business impact by analyzing market strategies, optimizing pricing, and improving customer experiences.
Ideal candidates should have strengths in SQL and Python, with proven problem-solving skills and the ability to effectively communicate complex data insights. The company values diversity and offers a supportive and inclusive work environment.
Impact Data Scientist - SQL/Python & A/B in City of London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Impact Data Scientist - SQL/Python & A/B in City of London
β¨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is a great way to demonstrate your problem-solving abilities and make a lasting impression during interviews.
β¨Tip Number 3
Prepare for those tricky interview questions! Brush up on your data analysis techniques and be ready to discuss how you've used data to drive business impact in past roles.
β¨Tip Number 4
Donβt forget to apply through our website! We love seeing applications from passionate candidates who are eager to make a difference in the food and technology space.
We think you need these skills to ace Impact Data Scientist - SQL/Python & A/B in City of London
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools to solve real problems, so donβt hold back on sharing specific examples!
Communicate Clearly: Since the role involves communicating complex data insights, we recommend you keep your language clear and straightforward. Avoid jargon where possible and focus on how your findings can drive business impact.
Tailor Your Application: Take a moment to tailor your CV and cover letter to the job description. We love seeing candidates who understand our mission and values, so make sure to connect your experiences with what weβre looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, itβs super easy!
How to prepare for a job interview at Deliveroo
β¨Know Your SQL and Python
Brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to solve problems or drive insights. Practising coding challenges can also help you feel more confident.
β¨Understand the Business Impact
Familiarise yourself with how data science can influence business decisions, especially in the food and technology sectors. Think of examples where your analysis led to tangible outcomes, like optimising pricing or enhancing customer experiences.
β¨Communicate Clearly
Prepare to explain complex data insights in a straightforward manner. Use storytelling techniques to convey your findings, making sure to highlight the 'so what' factorβhow your insights can impact the company's strategies.
β¨Embrace Diversity and Inclusion
Research the companyβs commitment to diversity and inclusion. Be ready to share your thoughts on how diverse perspectives can enhance data-driven decision-making. This shows that you align with their values and are a good cultural fit.