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- Tasks: Build and deploy AI models, tackle diverse use cases, and support API development.
- Company: Join a forward-thinking organisation focused on AI innovation and collaboration.
- Benefits: Enjoy significant career progression opportunities and a chance to influence AI strategy.
- Why this job: Shape the future of AI applications while working with cutting-edge technology.
- Qualifications: 5+ years in data science, 2+ years with LLMs, and proficiency in Python and SQL.
- Other info: Consortia is a specialist recruitment agency connecting you to global roles.
The predicted salary is between 28800 - 48000 £ per year.
Are you an experienced data scientist passionate about working with cutting-edge AI models? Do you have a track record of successfully deploying LLMs and agent networks into production? This is your opportunity to join a forward-thinking organisation, playing a pivotal role as they build a new AI team from the ground up. This newly created position offers a unique opportunity to shape AI innovation across diverse applications, leveraging your expertise in LLMs, generative AI, and Python to drive real-world impact. As part of a high-growth AI department, the role provides significant opportunities for career progression and the chance to influence the company’s strategic direction in AI innovation.
What You’ll Do:
- Build and deploy custom LLM-based models into production environments, primarily using Azure (AWS or OCI also acceptable).
- Tackle diverse AI use cases, developing models from scratch.
- Use Python and SQL for data analysis and model implementation.
- Support API development in collaboration with an engineering team.
What You Bring:
- 5+ years of experience in data science or related roles.
- 2+ years working directly with LLMs and agent networks.
- Proven expertise in taking AI models from concept to production.
- Proficiency in Python, SQL, and familiarity with Java environments (desirable).
- Experience with Azure (or AWS/OCI) cloud platforms.
If you’re ready to lead in a transformative role and shape the future of AI applications, we want to hear from you. Start your journey with a company that values innovation, collaboration, and real-world impact.
Data Scientist employer: Consortia
Contact Detail:
Consortia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and generative AI. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your experience with deploying models into production. Be ready to discuss specific projects where you successfully implemented AI solutions, particularly using Azure or other cloud platforms.
✨Tip Number 3
Network with professionals in the AI and data science community. Engaging with others in the field can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Demonstrate your collaborative skills by preparing examples of how you've worked with engineering teams in the past. Highlighting your ability to support API development will show that you're a team player who can contribute effectively.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and agent networks. Include specific projects where you've deployed AI models, especially in production environments using Azure or other cloud platforms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data science. Mention how your skills align with the company's goals and how you can contribute to their new AI team. Be sure to include examples of your past successes in deploying AI models.
Showcase Relevant Skills: Clearly list your technical skills, particularly in Python, SQL, and any experience with Java. Highlight your familiarity with cloud platforms like Azure, AWS, or OCI, as these are crucial for the role.
Follow Application Instructions: Ensure you follow all application instructions provided by the company. This includes submitting your application through our website, attaching all required documents, and adhering to any specified formats.
How to prepare for a job interview at Consortia
✨Showcase Your LLM Experience
Make sure to highlight your experience with large language models (LLMs) during the interview. Be prepared to discuss specific projects where you've successfully deployed LLMs and how you tackled challenges in those projects.
✨Demonstrate Technical Proficiency
Since the role requires proficiency in Python and SQL, be ready to discuss your technical skills in detail. You might even be asked to solve a coding problem or analyse data on the spot, so brush up on your coding skills beforehand.
✨Understand the Company’s AI Vision
Research the company’s current AI initiatives and be prepared to discuss how your skills can contribute to their goals. Showing that you understand their strategic direction will demonstrate your genuine interest in the role.
✨Prepare Questions for the Interviewers
Have insightful questions ready to ask the interviewers about the team, the projects you'll be working on, and the company's future in AI. This shows your enthusiasm for the position and helps you gauge if it's the right fit for you.