At a Glance
- Tasks: Develop predictive models and analyse large datasets to drive eCommerce success.
- Company: Join JINGDONG RETAIL, a leading player in the eCommerce space.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and creativity.
- Why this job: Make an impact by leveraging data to enhance customer experiences.
- Qualifications: Master’s degree in Data Science and 3+ years of relevant experience required.
The predicted salary is between 55000 - 70000 £ per year.
JINGDONG RETAIL (UK) LIMITED is seeking a Data Scientist in Greater London to develop predictive models and advanced analytics solutions. The role involves analyzing large datasets to identify trends, partnering with data engineers, and designing A/B tests for product features.
The ideal candidate will have:
- A Master’s degree in Data Science
- 3+ years of relevant experience
- Proficiency in Python or R
- Experience with machine learning frameworks
- Excellent communication skills
Senior Data Scientist, Personalization & ML for Ecommerce in London employer: JINGDONG RETAIL (UK) LIMITED
At JINGDONG RETAIL (UK) LIMITED, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. Located in the vibrant Greater London area, we offer competitive benefits, continuous professional development opportunities, and a collaborative environment where creativity and data-driven insights are highly valued. Join us to be part of a forward-thinking team dedicated to shaping the future of eCommerce through advanced analytics and machine learning.
Contact Details:
JINGDONG RETAIL (UK) LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Personalization & ML for Ecommerce in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analytics projects. We recommend using platforms like GitHub to share your code and results, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges in Python or R, and be ready to discuss your experience with machine learning frameworks. We suggest doing mock interviews with friends or using online resources to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role.
We think you need these skills to ace Senior Data Scientist, Personalization & ML for Ecommerce in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, especially with predictive models and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your Python or R expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about personalisation and machine learning in eCommerce. We love seeing candidates who can communicate their ideas clearly, so let your personality come through.
Showcase Relevant Projects:If you've worked on any projects that involved A/B testing or large datasets, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work where possible.
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 shows us you’re serious about joining our team!
How to prepare for a job interview at JINGDONG RETAIL (UK) LIMITED
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around predictive modelling and machine learning frameworks. Be ready to discuss your past projects in detail, showcasing how you've used Python or R to solve real-world problems.
✨Showcase Your Analytical Skills
Prepare to talk about specific datasets you've worked with and the insights you've derived from them. Think of examples where you've identified trends or patterns that led to actionable outcomes, as this will demonstrate your analytical prowess.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex concepts in simple terms. You might be asked to present your findings or explain your thought process, so clarity is key!
✨A/B Testing Know-How
Familiarise yourself with A/B testing methodologies and be prepared to discuss how you've designed and implemented tests in the past. Highlight any successful experiments that improved product features, as this will show your practical experience in the field.
