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For Companies At a Glance
- Tasks: Lead complex data science projects and deliver impactful personalisation solutions.
- Company: A leading data science firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real difference in personalisation at scale.
- Qualifications: Proficiency in Python and SQL; strong communication skills are essential.
- Other info: Exciting opportunity to work with Tesco UK's Personalisation team.
The predicted salary is between 43200 - 72000 £ per year.
A leading data science firm in Greater London is seeking a Senior Applied Data Scientist to lead complex projects and deliver impactful solutions. This role involves collaborating closely with Tesco UK's Personalisation team, extending personalisation propositions and leveraging advanced techniques in data science.
Ideal candidates will excel in Python, SQL, and present insights effectively to stakeholders. A degree in a relevant field is advantageous but not required, and knowledge of the UK retail industry is a plus.
Senior Applied Data Scientist - Personalisation at Scale in London employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist - Personalisation at Scale in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, especially those connected to Tesco or similar companies. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss how you've tackled complex projects in the past. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Applied Data Scientist - Personalisation at Scale in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL right from the get-go. We want to see how you can leverage these skills to tackle complex data challenges, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with personalisation projects and how you’ve used data science techniques to deliver impactful solutions. It’ll make you stand out!
Keep It Clear and Concise: When presenting your insights, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read and understand.
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 with our team!
How to prepare for a job interview at Dunnhumby
✨Know Your Data Science Stuff
Make sure you're well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of data science techniques and be ready to discuss how you've applied them in past projects.
✨Understand Personalisation in Retail
Familiarise yourself with personalisation strategies used in the UK retail industry, especially those employed by Tesco. This will help you demonstrate your understanding of the sector and how your skills can contribute to their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will show your ability to communicate complex ideas effectively to stakeholders.
✨Showcase Your Collaboration Skills
Since this role involves working closely with teams, be prepared to share examples of successful collaborations. Highlight how you’ve worked with others to deliver impactful solutions, as teamwork is key in this position.
