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For Companies At a Glance
- Tasks: Build models for hyper-personalisation and consult with executive teams.
- Company: Leading global eCommerce company with a focus on innovation.
- Benefits: Flexible work, competitive benefits, and opportunities for personal growth.
- Why this job: Join a dynamic team to shape customer experiences using cutting-edge technology.
- Qualifications: Expertise in machine learning, deep learning, and programming languages like Python and Java.
- Other info: Collaborative environment with a focus on cross-functional teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A leading global eCommerce company is seeking a Lead Data Scientist to build models for hyper-personalisation of customer experiences while consulting with executive teams. This hands-on role requires expertise in machine learning, deep learning, and programming languages like Python and Java.
The ideal candidate should be comfortable with data analytics pipeline design, possess advanced mathematics skills, and work effectively in cross-functional teams.
This position offers flexibility, a competitive benefits package, and the opportunity for personal growth.
Lead Data Scientist - Hybrid ML & Personalization Leader in London employer: Match Digital
Contact Detail:
Match Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Hybrid ML & Personalization Leader in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analytics work. This is your chance to demonstrate your expertise in Python, Java, and deep learning – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams and executives.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Lead Data Scientist - Hybrid ML & Personalization Leader in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning and programming languages like Python and Java. We want to see how your skills can contribute to hyper-personalisation and data analytics.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Lead Data Scientist role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Match Digital
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss specific algorithms you've implemented and the programming languages you’re proficient in, especially Python and Java. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve built models for hyper-personalisation or tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your contributions made a difference.
✨Understand the Business Context
Research the company’s eCommerce strategies and how data science plays a role in enhancing customer experiences. Being able to connect your technical skills to their business goals will demonstrate your strategic thinking and alignment with their vision.
✨Be Ready for Team Dynamics
Since this role involves working in cross-functional teams, be prepared to discuss how you collaborate with others. Share examples of how you’ve successfully worked with different departments, and emphasise your communication skills and adaptability.
