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- Tasks: Join us to develop innovative AI and ML solutions that push technological boundaries.
- Company: QSR is a forward-thinking company at the forefront of AI and Machine Learning advancements.
- Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving impactful projects in a rapidly evolving field.
- Qualifications: Experience in AI/ML development is essential; passion for innovation is a must.
- Other info: Contract length is initially 6 months, with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid Hertfordshire (preferred) or London
Start Date: August 2025
Contract Length: 6 Months Initially (TBC)
Rate: Competitive DOE, inside IR35
Are you passionate about pushing the boundaries of AI and Machine Learning? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models.
Data Science Developer employer: Queen Square Recruitment Limited
Contact Detail:
Queen Square Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Developer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Machine Learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data science community. Attend meetups, webinars, or conferences related to AI/ML. Building connections can lead to valuable insights about job openings and may even result in referrals for positions at StudySmarter.
✨Tip Number 3
Showcase your practical experience with AI/ML projects. Whether through personal projects, contributions to open-source, or previous work, having tangible examples to discuss can set you apart from other candidates. Be prepared to explain your thought process and the impact of your work.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions relevant to data science. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Data Science Developer
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Data Science Developer position. Focus on the specific skills and experiences required, especially in AI and Machine Learning, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your previous work with AI/ML projects. Include specific examples of your contributions, technologies used, and the impact of your work to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a personalised cover letter that connects your passion for AI and Machine Learning with the goals of the company. Mention why you are excited about this opportunity and how you can contribute to their innovative projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in the tech industry.
How to prepare for a job interview at Queen Square Recruitment Limited
✨Showcase Your AI/ML Knowledge
Make sure to brush up on the latest trends and technologies in AI and Machine Learning. Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Demonstrate Problem-Solving Skills
During the interview, expect to tackle some technical problems or case studies. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to think on your feet.
✨Prepare Questions About the Project
Research the company and the specific project you'll be working on. Prepare insightful questions that show your interest and understanding of their goals, which can help you stand out as a candidate who is genuinely invested in the role.
✨Highlight Team Collaboration Experience
Since this role may involve working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in previous roles. Emphasise your communication skills and adaptability in team settings.
