At a Glance
- Tasks: Collaborate on AI projects to enhance products using data science and machine learning.
- Company: Leading global technology firm with a focus on innovation.
- Benefits: Competitive pay, 25 days leave, and a flexible hybrid work environment.
- Other info: Exciting opportunities for growth in a dynamic tech landscape.
- Why this job: Join a cutting-edge team and advance your career in AI engineering.
- Qualifications: Experience in data science, applied machine learning, and Python programming.
The predicted salary is between 30000 - 42000 £ per year.
A leading global technology firm is seeking a mid-level Data Scientist to join their Generative AI Centre of Expertise. This hybrid role involves collaborating with teams to improve products using AI and machine learning.
Candidates should have experience in:
- Data science
- Applied machine learning
- Python programming
The position offers competitive compensation, benefits including 25 days of leave, and a flexible working environment. Join us to grow your career in AI engineering.
GenAI Data Scientist & AI Engineer (Hybrid) employer: Experian
As a leading global technology firm, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid work model provides flexibility, while our commitment to employee growth is reflected in comprehensive training programmes and opportunities to work on cutting-edge AI projects. With competitive compensation and generous benefits, including 25 days of leave, we are dedicated to supporting our employees' well-being and career advancement in the exciting field of AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Data Scientist & AI Engineer (Hybrid)
✨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 projects in data science and AI. This is your chance to demonstrate your expertise in Python and machine learning, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with teams to improve products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 (Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science and applied machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your Python programming prowess!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI Data Scientist position and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on any projects related to AI or machine learning, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Experian
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and machine learning concepts. Be ready to discuss specific projects you've worked on, especially those involving Python programming. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to talk about how you've successfully collaborated in the past. Share examples of how you’ve contributed to team projects and improved products using AI. This will highlight your ability to work well in a hybrid environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your data science techniques and be ready to solve problems on the spot. Practising coding challenges in Python can help you feel more confident and demonstrate your skills effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current AI projects or their vision for the future of generative AI. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
