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For Companies At a Glance
- Tasks: Build and optimise machine learning models to enhance customer experience.
- Company: Fast-growing consumer tech company in Greater London with a dynamic culture.
- Benefits: Competitive compensation, hybrid work, and the chance to shape a product before IPO.
- Why this job: Make a real impact on product development in a pivotal role.
- Qualifications: Extensive experience in AWS, Python, and SQL required.
- Other info: 12-month fixed-term contract with significant influence on projects.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing consumer technology company in Greater London seeks a Senior Data Scientist to build and optimise machine learning models that enhance customer experience. This 12-month fixed-term contract involves working in a hybrid environment, with clear responsibilities and significant influence on product development.
The ideal candidate has extensive experience in AWS and a strong grasp of Python and SQL. This position offers competitive compensation and the chance to shape a pivotal product prior to IPO. Interested candidates are encouraged to apply.
Senior Data Scientist - ML & Personalisation (London, Hybrid) employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - ML & Personalisation (London, Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those involving AWS, Python, and SQL. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on explaining your thought process when solving data problems, as this is key for a Senior Data Scientist role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist - ML & Personalisation (London, Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AWS, Python, and SQL in your application. We want to see how your skills can enhance our machine learning models and improve customer experience.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to building and optimising machine learning models.
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 from us!
How to prepare for a job interview at WeDo
✨Know Your Tech Stack
Make sure you brush up on your AWS, Python, and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as this will show your practical experience and how you can apply your knowledge to enhance customer experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've built and optimised machine learning models in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your thought process and the impact of your work on product development.
✨Understand the Company’s Vision
Research the company’s products and their approach to consumer technology. Being able to articulate how your role as a Senior Data Scientist fits into their vision, especially leading up to an IPO, will demonstrate your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions that show your enthusiasm for the role and the company. Inquire about their current challenges in machine learning or how they envision the data science team evolving. This not only shows your engagement but also helps you assess if the company is the right fit for you.
