At a Glance
- Tasks: Develop and optimise AI/ML applications while refining metadata for better performance.
- Company: Join IQVIA, a leader in clinical research and healthcare intelligence.
- Benefits: Enjoy competitive salary, flexible work, and access to advanced tech resources.
- Other info: Great career growth opportunities and support for further education.
- Why this job: Make a real impact in AI engineering and collaborate with top experts.
- Qualifications: Experience in data engineering and AI/ML projects is essential.
The predicted salary is between 60000 - 80000 € per year.
With IQVIA’s Applied Data Science Centre, the AI Science Consultant is an AI engineering-focused role dedicated to the development and optimisation of artificial intelligence and machine learning (AI/ML) applications. The role places a strong emphasis on refining metadata to enhance model performance and providing AI engineering support for large language model (LLM) based solutions.
Key Responsibilities
- Refine and manage metadata to improve the performance of AI/ML models.
- Provide AI engineering support for LLM-based applications, including prompt engineering, retrieval-augmented generation, and model fine-tuning.
- Collaborate with cross-functional teams to deliver robust and scalable AI/ML solutions.
Essential Skills And Experience
- Proven experience as a Data Engineer, ideally within the context of AI/ML projects.
- Demonstrated expertise in metadata refinement to boost AI/ML application performance.
- Hands-on experience in AI engineering for LLM-based applications, including prompt engineering, retrieval-augmented generation, context engineering and model fine-tuning.
Key Benefits
- Access to advanced technology and resources for AI and machine learning.
- Collaborative and inclusive work environment with leading experts in AI engineering.
- Opportunities for continuous learning and professional development through training, conferences, and mentorship programmes.
- Flexible working arrangements to support work-life balance.
- Competitive salary and comprehensive benefits package.
Career Growth Opportunities
- Exposure to innovative projects and the opportunity to contribute to the advancement of AI/ML technologies, with career progression pathways within the AI and data science teams.
- Potential to take on leadership roles in project delivery and technical strategy.
- Support for pursuing certifications and further education relevant to AI engineering and data science.
AI Science Consultant in London employer: IQVIA Laboratories
At IQVIA, we pride ourselves on being an exceptional employer, offering our AI Science Consultants access to cutting-edge technology and a collaborative work environment filled with industry experts. Our commitment to employee growth is evident through continuous learning opportunities, flexible working arrangements, and a comprehensive benefits package, all designed to support a healthy work-life balance while contributing to groundbreaking advancements in AI and healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land AI Science Consultant in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at IQVIA. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to AI/ML applications, make sure to highlight them in conversations. Real-world examples speak volumes.
✨Tip Number 3
Prepare for the interview by brushing up on prompt engineering and metadata refinement. Be ready to discuss how you've tackled similar challenges in past roles. Confidence is key!
✨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, it shows you're serious about joining the team.
We think you need these skills to ace AI Science Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Science Consultant role. Highlight your experience with AI/ML projects and metadata refinement, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI engineering and how your background makes you a great fit for our team. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any AI/ML projects, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they involve LLM-based applications or prompt engineering.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company there!
How to prepare for a job interview at IQVIA Laboratories
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially around metadata refinement and LLM applications. Be ready to discuss specific projects you've worked on and how you’ve optimised model performance.
✨Show Off Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Prepare for Technical Questions
Expect some technical questions related to prompt engineering and model fine-tuning. Brush up on these topics and think about how you would approach real-world problems. Practising coding challenges or case studies can also help.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the latest projects they’re working on or how they measure success in AI/ML applications. This shows you’re genuinely interested and engaged.
