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For Companies At a Glance
- Tasks: Build prototypes using NLP and time series data while supporting critical systems.
- Company: Join a forward-thinking company focused on innovative AI solutions.
- Benefits: Enjoy flexible work options and a collaborative team environment.
- Why this job: Dive into exciting AI projects that make a real impact and enhance user experiences.
- Qualifications: 5+ years in Python, 3+ years in data science, with experience in AI/ML projects.
- Other info: Bonus points for experience in private equity or financial services!
The predicted salary is between 43200 - 72000 £ per year.
About you
You're a self-starter who mixes critical thinking with the delivery of working lightweight systems. You're driven by curiosity and capable of taking prototype datasets and turning them into systems that answer well-defined questions, critiquing your system and keeping it honest as you go.
Key Responsibilities
- Help us build prototypes using NLP and time series data
- Help support 2 long-running critical systems (both powered by NLP and OCR)
Requirements
- A strong product-focused mindset focused on solving real user problems
- 5+ years Python
- You've been in the world of data science for 3+ years
- Demonstrable experience in AI/ML projects using NLP and OCR
- You've hand-built your own evaluation sets and scored your own ML systems
- You've built front-ends that quickly deliver value to users
- Use of unit tests and end-to-end tests around ML/AI systems during both development and long-term support
- Practical experience calling LLMs via APIs and dealing with varied responses
Bonus skills
- Private equity or financial services experience
- Azure, Postgres, Streamlit or equivalents
- Fact extraction, Q&A and RAG on documents
- Comfort working in small teams with fast iteration cycles
Intermediate AI Engineer/Data Scientist employer: Lantern Limited
Contact Detail:
Lantern Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intermediate AI Engineer/Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and OCR technologies. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your previous projects that involved AI/ML, particularly those using NLP and OCR. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups or webinars where you can connect with others in the industry, as personal referrals can often give you an edge in the application process.
✨Tip Number 4
Demonstrate your product-focused mindset by thinking about how your work can solve real user problems. During discussions, share examples of how you've prioritised user needs in your past projects to show that you understand the importance of delivering value.
We think you need these skills to ace Intermediate AI Engineer/Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML projects, particularly with NLP and OCR. Use specific examples to demonstrate your skills and how they relate to the job description.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and self-starter attitude. Discuss how your critical thinking has led to successful project outcomes and how you can contribute to building prototypes at StudySmarter.
Showcase Relevant Projects: Include a portfolio or links to projects that showcase your experience with Python, LLMs, and any relevant front-end work. Highlight your ability to build evaluation sets and score ML systems.
Prepare for Technical Questions: Be ready to discuss your hands-on experience with unit tests and end-to-end tests for ML/AI systems. Prepare to explain your approach to solving user problems and how you've iterated on your projects in small teams.
How to prepare for a job interview at Lantern Limited
✨Showcase Your Curiosity
During the interview, demonstrate your curiosity by asking insightful questions about the company's projects and challenges. This not only shows your interest but also highlights your critical thinking skills.
✨Highlight Relevant Experience
Be prepared to discuss your past AI/ML projects, especially those involving NLP and OCR. Share specific examples of how you built prototypes and evaluated your systems, as this aligns with the key responsibilities of the role.
✨Emphasise Problem-Solving Mindset
Make sure to convey your product-focused mindset by discussing how you've solved real user problems in previous roles. Use concrete examples to illustrate how your solutions delivered value to users.
✨Familiarity with Tools and Technologies
Brush up on the tools mentioned in the job description, such as Azure, Postgres, and Streamlit. Being able to discuss your practical experience with these technologies will show that you're well-prepared for the role.
