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- 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: Experience in the UK retail industry is a bonus, but not mandatory.
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 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
✨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 insights that a job description just can't.
✨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
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and SQL in your application. We want to see how you can leverage these skills to tackle complex data science projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with personalisation in the retail sector and how it aligns with what we’re doing at StudySmarter and Tesco UK.
Be Clear and Concise: When presenting your insights, keep it straightforward. We appreciate clarity, so make sure your application communicates your ideas effectively without unnecessary jargon.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Dunnhumby
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages to solve real-world problems, especially in personalisation or retail contexts.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Tesco UK's Personalisation team, think of examples where you've successfully collaborated with others. Highlight how you communicated complex data insights to non-technical stakeholders.
✨Understand the Retail Landscape
Familiarise yourself with current trends in the UK retail industry. Being able to discuss how data science can enhance personalisation in retail will show that you're not just a tech whiz but also understand the business side of things.
✨Prepare Insightful Questions
Have a few thoughtful questions ready for your interviewers. Ask about their current personalisation strategies or challenges they face. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
