At a Glance
- Tasks: Design experiments and enhance GenAI products while collaborating with product and engineering teams.
- Company: Join Experian Health's innovative Generative AI Centre of Expertise.
- Benefits: Enjoy hybrid working, healthcare, and 25 days of annual leave.
- Other info: Great opportunities for professional growth in a dynamic environment.
- Why this job: Dive into AI engineering and make a real impact in the tech world.
- Qualifications: Experience in machine learning and Python programming is essential.
The predicted salary is between 60000 - 80000 € per year.
Experian Health is hiring a Data Scientist for their Generative AI Centre of Expertise. This hybrid role involves hands-on work in AI engineering and collaboration with product and engineering teams to design experiments and improve GenAI products.
The role requires experience in machine learning and Python programming, with opportunities for professional growth in AI engineering.
The company offers a great compensation package including hybrid working, healthcare, and 25 days of annual leave.
GenAI Data Scientist to AI Engineer — Hybrid Role in London employer: Experian Health
Experian Health is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, the company provides ample opportunities for professional development, alongside a competitive compensation package that includes hybrid working arrangements, comprehensive healthcare benefits, and generous annual leave. Joining Experian Health means being part of a forward-thinking team dedicated to making a meaningful impact in healthcare through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Data Scientist to AI Engineer — Hybrid Role in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community, especially those at Experian Health. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and Python programming. This is your chance to demonstrate your hands-on experience and creativity in GenAI—make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI engineering and the latest trends in generative AI. We want you to feel confident discussing how you can contribute to improving their 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’re here to support you every step of the way in your job search journey.
We think you need these skills to ace GenAI Data Scientist to AI Engineer — Hybrid Role in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and Python programming. We want to see how your skills align with the GenAI focus of the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the hybrid role and how your background makes you a perfect fit for our Generative AI Centre of Expertise. Let your personality come through!
Showcase Collaboration Skills:Since this role involves working closely with product and engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Experian Health
✨Know Your GenAI 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.
✨Show Off Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you designed experiments or contributed to team projects, as this will demonstrate your ability to work well in a hybrid environment.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your Python skills and be ready to solve problems on the spot. Practising coding challenges or discussing your approach to data analysis can help you feel more confident when tackling these questions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, or how the company supports professional growth in AI engineering. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
