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- Tasks: Design and deliver analytical Python solutions using machine learning techniques.
- Company: Leading data science company in Greater London with a focus on innovation.
- Benefits: Comprehensive rewards package, flexible working hours, and commitment to diversity.
- Why this job: Join a dynamic team and make an impact in the world of data science.
- Qualifications: Experience with relational databases and CI/CD practices required.
- Other info: Embrace a culture of collaboration and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
A leading data science company in Greater London seeks a professional in Customer Data Science. In this role, you will design and deliver analytical Python solutions, utilizing machine learning techniques and collaborating across teams.
Candidates should have experience with relational databases and CI/CD practices.
The position offers a comprehensive rewards package, flexible working hours, and a commitment to diversity and inclusion.
Production-Grade Data Science Engineer employer: Dunnhumby
Contact Detail:
Dunnhumby Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production-Grade Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the data science field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical Python solutions and machine learning projects. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of relational databases and CI/CD practices. Practising coding challenges and mock interviews can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows your enthusiasm for the role and the company!
We think you need these skills to ace Production-Grade Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with analytical Python solutions and machine learning techniques. We want to see how your skills align 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 explain why you’re passionate about data science and how you can contribute to our team. We love hearing about your collaborative experiences and how you’ve tackled challenges in the past.
Showcase Your Technical Skills: Don’t forget to mention your experience with relational databases and CI/CD practices. We’re looking for someone who can hit the ground running, so make sure these skills are front and centre in your application.
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 Dunnhumby
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to data science. Be prepared to discuss your previous projects and how you've used Python to solve real-world problems. Practising coding challenges can also help you feel more confident.
✨Showcase Your Machine Learning Knowledge
Familiarise yourself with various machine learning techniques and be ready to explain them clearly. Think of examples where you've applied these techniques in past roles. This will demonstrate your practical understanding and ability to deliver analytical solutions.
✨Understand CI/CD Practices
Since the role involves CI/CD practices, make sure you can discuss how you've implemented these in your previous work. Be ready to talk about tools you've used and how they improved your workflow. This shows that you're not just a coder but someone who understands the full development lifecycle.
✨Emphasise Collaboration Skills
This position requires collaboration across teams, so be prepared to share experiences where you've worked effectively with others. Highlight your communication skills and how you’ve contributed to team success. This will show that you’re a team player, which is crucial for this role.