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# Data Scientist

- **Company:** JINGDONG RETAIL (UK) LIMITED
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Big Data, Data Transformation, Data Systems, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Power BI, Tensorflow, Azure Machine Learning, Tableau (Software), Pytorch, Apache Spark, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** July 16, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=c08ed413e63f60e5

## About the Role

* 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., * 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.

## Description

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. Learn more: https://corporate.jd.com, * 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.


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