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- Tasks: Collaborate on Generative AI projects and design impactful experiments.
- Company: Global data and tech company based in Greater London.
- Benefits: Hybrid working model, competitive salary, discretionary bonus, and health coverage.
- Why this job: Join a cutting-edge team and enhance your skills in AI engineering.
- Qualifications: Experience in data science and Python programming required.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global data and technology company in Greater London is seeking a mid-level Data Scientist to work on Generative AI and AI engineering. The role involves collaboration across product, engineering, and business teams to design experiments and communicate insights effectively.
Candidates should have experience in data science, Python programming, and a desire to enhance their skills in AI engineering.
Enjoy a hybrid working model with a comprehensive benefits package including a discretionary bonus and health coverage.
GenAI Data Scientist & AI Engineer in London employer: Experian Group
Contact Detail:
Experian Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Data Scientist & AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in Generative AI. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and AI engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Practice explaining complex concepts in simple terms, as you'll need to communicate insights effectively across teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace GenAI Data Scientist & AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science and Python programming. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your interest in Generative AI and AI engineering, and how you can contribute to our collaborative environment.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that communicate your insights effectively, just like you would in 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’re considered for this exciting opportunity!
How to prepare for a job interview at Experian Group
✨Know Your Generative AI
Make sure you brush up on the latest trends and techniques in Generative AI. Be ready to discuss your previous projects and how they relate to the role. This shows your passion and understanding of the field.
✨Show Off Your Python Skills
Since Python programming is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data science algorithms and libraries like Pandas and NumPy.
✨Collaboration is Key
This role involves working with various teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've effectively communicated insights and worked with product or engineering teams.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI engineering or how they measure success in their projects. This shows your genuine interest in the role and the company.
