At a Glance
- Tasks: Design and deploy machine learning models for inventory prediction and optimisation.
- Company: Join JD.com, a global leader in innovative AI solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate with a fast-paced team in a vibrant London setting.
- Why this job: Make a real impact on customer experience and stock management with cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for data-driven solutions.
The predicted salary is between 80000 - 98000 £ per year.
JD. com is seeking a Machine Learning Engineer to help build a next‑generation inventory prediction and replenishment optimization platform in London.
You will design, implement and deploy models that affect forecast accuracy, stock availability, fulfilment costs, and customer experience.
Join a fast‑paced, global team collaborating with product, engineering and operations to deliver scalable AI solutions.
This role is onsite in London, UK, with opportunities to work on large‑scale distributed ML
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Demand Forecasting ML Engineer — London (Onsite) employer: JD.COM
JD.COM is an exceptional employer that prioritises professional growth and inclusivity within its overseas e-commerce team. With a focus on innovation in algorithm architecture, employees benefit from competitive salaries, a supportive work culture, and opportunities to engage in cutting-edge projects that enhance their skills in real-time data processing and microservices.
StudySmarter Expert Advice🤫
We think this is how you could land Demand Forecasting ML Engineer — London (Onsite)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like JD.COM!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Demand Forecasting ML Engineer — London (Onsite) at JD.COM.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like JD.COM.
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We think you need these skills to ace Demand Forecasting ML Engineer — London (Onsite)
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 JD.COM, 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 JD.COM. 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 JD.COM
✨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 JD.COM!
✨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.
