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- Tasks: Enhance conversational AI systems through experimentation and statistical analysis.
- Company: ConnexAI, a forward-thinking tech company in Manchester.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment perfect for curious minds tackling ambiguous challenges.
- Why this job: Join a dynamic team and make a real impact on AI technology.
- Qualifications: Degree in a quantitative field and strong Python skills required.
The predicted salary is between 40000 - 50000 £ per year.
ConnexAI is seeking Data Scientists in Manchester to enhance conversational AI systems through rigorous experimentation and statistical analysis. Candidates should hold a degree in a quantitative field and possess strong Python skills.
Responsibilities include:
- Designing experiments
- Working with datasets
- Improving model performance in a fast-paced, collaborative environment
Ideal applicants are curious about LLMs and comfortable working with ambiguous problems.
Data Scientist: LLMs & Production Conversational AI in Manchester employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: LLMs & Production Conversational AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Data Scientists on LinkedIn. You never know who might have the inside scoop on job openings at ConnexAI or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and conversational AI. This will give you an edge and demonstrate your hands-on experience when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding statistical analysis. Practice explaining your thought process on past projects, as this will help you stand out in a fast-paced, collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you a better chance of landing that interview. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Scientist: LLMs & Production Conversational AI in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience with LLMs in your application. We want to see how you can bring your expertise to our team!
Be Curious: Demonstrate your curiosity about conversational AI and LLMs in your written application. Share any projects or experiments you've worked on that showcase your passion for the field.
Tailor Your Application: Customise your application to reflect the responsibilities mentioned in the job description. We love seeing candidates who understand what we do and how they can contribute to our goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at ConnexAI
✨Know Your Data
Make sure you brush up on your knowledge of datasets and statistical analysis. Be prepared to discuss how you've used data in past projects, especially in relation to conversational AI. This will show your understanding of the role and your ability to contribute effectively.
✨Showcase Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and NumPy. This will help us see your technical prowess.
✨Experimentation Mindset
ConnexAI values rigorous experimentation, so come prepared to discuss your approach to designing experiments. Think about how you would test hypotheses related to LLMs and be ready to share examples from your experience that highlight your analytical thinking.
✨Embrace Ambiguity
The role involves tackling ambiguous problems, so demonstrate your curiosity and problem-solving skills. Share instances where you've navigated uncertainty in your work, and explain how you approached these challenges. This will show us that you're adaptable and ready for the fast-paced environment.