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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 work 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects in Generative AI and data science. This is your chance to demonstrate what you can do beyond just a CV – let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on your Python programming and AI engineering concepts. Practice common interview questions and think about how you can communicate your insights effectively, just like you would in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GenAI Data Scientist & AI Engineer
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 the GenAI Data Scientist & AI Engineer position. We love seeing candidates who understand our needs and can demonstrate how they fit into our team.
Communicate Clearly: Since the role involves collaboration and communication, ensure your application is clear and concise. We appreciate well-structured applications that convey your insights effectively.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the world of Generative AI.
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
Prepare to demonstrate your Python programming abilities. You might be asked to solve a problem or explain your coding process. Practising common data science problems in Python can give you a solid edge.
✨Collaboration is Key
Since the role involves working with various teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you’ve effectively shared insights with non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI engineering and their current projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
