At a Glance
- Tasks: Create data-driven insights and machine learning models to enhance customer experience.
- Company: Join JD.com, a global leader in technology and supply chain innovation.
- Benefits: Competitive salary, supportive culture, global projects, and growth opportunities.
- Other info: Diverse and inclusive workplace where every voice matters.
- Why this job: Make a real impact in e-commerce with cutting-edge data science techniques.
- Qualifications: Master’s degree in Data Science and 3+ years of relevant experience required.
The predicted salary is between 50000 - 70000 £ per year.
Who We Are
At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.
Our Global Reach
JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.
What We Offer
Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.
About The Team
You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.
Data Scientist Role
JD.com is seeking a Data Scientist to develop data-driven insights and machine learning models that power our personalization, recommendation, and analytics systems. In this role, you will transform raw data into business intelligence, working closely with data engineers, product managers, and business teams to improve decision-making and enhance customer experience across JD.com’s international e-commerce operations.
Key Responsibilities
- Build predictive models and advanced analytics solutions to improve personalization, recommendation, and customer segmentation.
- Analyze large-scale datasets to identify behavioral trends, business opportunities, and product improvement areas.
- Partner with data engineers to ensure clean, reliable, and accessible data for experimentation and model deployment.
- Design and run A/B tests to measure the impact of algorithms and product features.
- Translate technical insights into clear, actionable recommendations for business and product stakeholders.
- Stay current with research and industry best practices in machine learning, NLP, and AI, applying them to real-world e-commerce challenges.
Qualifications
- Master’s degree or higher in Data Science, Statistics, Computer Science, or a related field.
- 3+ years of experience in data science, machine learning, or applied analytics.
- Proficiency in Python, R, or Scala, with strong skills in data analysis and statistical modeling.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
- Strong knowledge of A/B testing, experimentation design, and causal inference.
- Excellent communication skills, with the ability to present complex findings to non-technical stakeholders.
Preferred Qualifications
- Experience in global e-commerce, personalization, or recommendation systems.
- Familiarity with big data platforms (Spark, Hadoop) and cloud ML pipelines (AWS Sagemaker, GCP Vertex AI, or Azure ML).
- Background in NLP or computer vision applications for large-scale platforms.
Equal Opportunity Statement
At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
Ready to Apply? Take the next step in your career, apply now and explore the opportunities we have to offer.
Data Scientist in Harrow employer: JD.COM
At JD.com, we pride ourselves on being a forward-thinking employer that champions innovation and personal growth. Our supportive, people-first culture fosters collaboration and inclusivity, ensuring that every employee has the opportunity to thrive while working on impactful global projects. With a competitive salary and access to cutting-edge technology in a vibrant international setting, joining our team as a Data Scientist means contributing to a smarter, more connected world.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Harrow
✨Tip Number 1
Network like a pro! Reach out to current employees at JD.com on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Data Scientist. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to e-commerce or machine learning. This will give you an edge and demonstrate your practical experience when you apply through our website.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders at JD.com.
✨Tip Number 4
Stay updated on industry trends! Follow the latest research in machine learning and AI, and be ready to discuss how these can be applied to improve JD.com's customer experience. This shows your passion and commitment to the field.
We think you need these skills to ace Data Scientist in Harrow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, data analysis, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
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 your background aligns with JD.com’s mission. Let us know what excites you about the role and our company.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, R, or Scala, and any experience with ML frameworks. We’re looking for candidates who can hit the ground running, so make sure we see your technical chops right away!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at JD.COM
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and statistical analysis. Be ready to discuss your past projects and how you've used tools like Python or R to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. JD.com values innovative solutions, so think of examples where your analytical skills led to impactful results.
✨Communicate Clearly
Since you'll be translating complex data insights for non-technical stakeholders, practice explaining your work in simple terms. Use visuals if possible, and be ready to answer questions about your thought process.
✨Stay Current with Trends
Familiarise yourself with the latest trends in machine learning and e-commerce. Being able to discuss recent advancements or case studies will show your passion for the field and your commitment to continuous learning.
