At a Glance
- Tasks: Refine metadata and support AI/ML applications to enhance performance.
- Company: Join IQVIA, a leader in healthcare intelligence and clinical research.
- Benefits: Enjoy flexible working, competitive salary, and access to advanced tech.
- Other info: Great career growth opportunities and support for further education.
- Why this job: Make a real impact in AI engineering and work on innovative projects.
- Qualifications: Experience in data engineering and AI/ML applications 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 AIML 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
IQVIA is an exceptional employer for AI Science Consultants, offering access to cutting-edge technology and a collaborative work environment with industry-leading experts. Employees benefit from flexible working arrangements, continuous professional development opportunities, and clear pathways for career advancement within the dynamic field of AI and data science, all while contributing to meaningful projects that enhance patient outcomes globally.
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 projects or experiences related to AI engineering or LLM applications, make sure to highlight them in conversations. Real-world examples can really impress.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of metadata refinement and model fine-tuning. Being able to discuss these topics confidently will set you apart from the crowd.
✨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 Relevant 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 metadata optimisation.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team at StudySmarter.
How to prepare for a job interview at IQVIA
✨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 tackled challenges in those areas.
✨Showcase 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’ve contributed to team success in AI/ML projects.
✨Prepare for Technical Questions
Expect some technical questions related to prompt engineering, retrieval-augmented generation, and model fine-tuning. Practise explaining these concepts clearly and concisely, as well as any hands-on experience you have with them.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
