At a Glance
- Tasks: Create data-driven insights and machine learning models for e-commerce personalisation.
- Company: Join JD.com, a leading international e-commerce platform.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Fast-paced environment with exciting challenges and career advancement.
- Why this job: Make a real impact on customer experience and product features.
- Qualifications: Experience in data science and collaboration with cross-functional teams.
The predicted salary is between 50000 - 70000 £ per year.
JD.com is seeking a Data Scientist to develop data-driven insights and machine learning models powering personalization, recommendations, and analytics across its international e-commerce operations. The role collaborates with data engineers, product managers, and business teams to transform raw data into business intelligence and improve decision-making, customer experience, and product features in a fast-paced environment.
Data Scientist – Personalization & E‑commerce AI employer: JINGDONG RETAIL (UK) LIMITED
JD.com is an exceptional employer for Software Engineers, offering a dynamic and inclusive work environment that prioritises employee growth and development. With competitive salaries and access to global projects, team members can thrive while collaborating on innovative solutions in the fast-paced e-commerce sector across Europe. The company's commitment to a people-first culture ensures that every employee feels valued and empowered to contribute their best work.
Contact Details:
JINGDONG RETAIL (UK) LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Personalization & E‑commerce AI
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We think you need these skills to ace Data Scientist – Personalization & E‑commerce AI
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at JINGDONG RETAIL (UK) LIMITED, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JINGDONG RETAIL (UK) LIMITED. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at JINGDONG RETAIL (UK) LIMITED
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JINGDONG RETAIL (UK) LIMITED!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
