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For Companies At a Glance
- Tasks: Lead machine-learning projects, focusing on computer vision and large language models.
- Company: Join a cutting-edge AI platform that's transforming customer service with speed and accuracy.
- Benefits: Enjoy remote work flexibility and the chance to work with top-tier universities.
- Why this job: Be at the forefront of AI innovation, solving real-world challenges in a collaborative environment.
- Qualifications: 6+ years in data science, with strong skills in Python and Azure MLOps required.
- Other info: All applicants must be eligible to work in the UK.
The predicted salary is between 48000 - 72000 £ per year.
Remote working/work at home options are available for this role.
Lead Data Scientist - Remote employer: Exposed Solutions
Contact Detail:
Exposed Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Remote
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and large language models. Being able to discuss recent breakthroughs or trends during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with Azure MLOps by preparing examples of how you've implemented CI/CD pipelines or monitored deployed models in previous roles. This will highlight your technical skills and understanding of production environments.
✨Tip Number 3
Prepare to discuss your leadership style and how you've mentored teams in the past. Providing specific examples of how you've guided data science projects or influenced team direction can set you apart as a strong candidate.
✨Tip Number 4
Network with professionals in the AI and data science community, especially those working with computer vision and LLMs. Engaging in discussions or attending relevant meetups can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Lead Data Scientist - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and machine learning, particularly focusing on computer vision and large language models. Use specific examples of projects you've led or contributed to that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your leadership experience. Mention how your skills can help the company achieve its goals in developing advanced AI solutions and how you can contribute to their ML strategy.
Highlight Technical Skills: Clearly list your technical skills relevant to the role, such as your proficiency in Python, experience with Azure, and familiarity with frameworks like PyTorch and FastAPI. Provide examples of how you've applied these skills in previous roles.
Showcase Leadership Experience: Since this is a lead position, emphasise your experience in mentoring and guiding teams. Include specific instances where you've set direction for projects or influenced best practices in data science.
How to prepare for a job interview at Exposed Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with computer vision and large language models in detail. Highlight specific projects where you've developed, trained, or deployed models, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Lead Data Scientist, you'll need to show that you can guide a team effectively. Share examples of how you've mentored others, set technical direction, and ensured successful project delivery. This will help illustrate your capability to lead and inspire.
✨Align with Business Goals
Understand the company's mission and how your role as a Lead Data Scientist fits into their broader objectives. Be ready to discuss how you would align machine learning strategies with business goals, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect in-depth technical questions related to MLOps on Azure, CI/CD processes, and coding in Python. Brush up on your knowledge of frameworks like PyTorch and FastAPI, and be ready to solve problems or discuss code snippets during the interview.
