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For Companies At a Glance
- Tasks: Leverage advanced technology to deliver impactful data solutions for clients in retail.
- Company: Global leader in Customer Data Science with a focus on innovation.
- Benefits: Flexible hours, dynamic work environment, and a commitment to diversity.
- Why this job: Make a real impact using your data science skills in a thriving industry.
- Qualifications: Strong programming skills in Python and SQL, plus experience in statistical modeling.
- Other info: Join a diverse team that values collaboration and creativity.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in Customer Data Science is seeking a Senior Applied Data Scientist in London. This 12-month FTC role focuses on leveraging advanced technology to deliver impactful solutions for clients, particularly in the retail sector.
The ideal candidate will possess:
- Strong programming skills in Python and SQL
- A solid background in statistical modeling
- Excellent communication abilities to connect technical work with real customer outcomes
Enjoy a dynamic work environment that promotes flexible work arrangements and values diversity.
Senior Applied Data Scientist – Flexible Hours (12m FTC) in London employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist – Flexible Hours (12m FTC) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you can deliver impactful solutions.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your technical work in a way that connects with real customer outcomes – that's what they want to hear!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our dynamic team. Plus, it’s the best way to ensure your application gets noticed!
We think you need these skills to ace Senior Applied Data Scientist – Flexible Hours (12m FTC) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and SQL, as well as your experience with statistical modelling. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to connect your technical expertise with real customer outcomes, especially in the retail sector. We love seeing how you can translate data science into impactful solutions.
Showcase Your Communication Skills: Since this role requires excellent communication abilities, make sure to demonstrate how you've effectively communicated complex ideas in the past. We’re looking for candidates who can bridge the gap between technical work and client needs.
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. Plus, it’s super easy!
How to prepare for a job interview at Dunnhumby
✨Know Your Tech Inside Out
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, and think about how you can explain complex technical concepts in a way that connects with real customer outcomes.
✨Showcase Your Statistical Modelling Skills
Prepare to talk about your experience with statistical modelling. Have examples ready that demonstrate how your models have led to impactful solutions, especially in the retail sector. This will show that you understand the business side of data science.
✨Communicate Clearly and Confidently
Since excellent communication is key for this role, practice explaining your work to someone who isn’t a data scientist. This will help you articulate your thoughts clearly during the interview and show that you can bridge the gap between technical and non-technical stakeholders.
✨Embrace the Flexible Work Culture
Familiarise yourself with the company’s approach to flexible working. Be prepared to discuss how you manage your time and productivity in a flexible environment, as this will demonstrate that you’re a good fit for their dynamic work culture.