At a Glance
- Tasks: Develop cutting-edge AI and ML products in a fast-paced startup environment.
- Company: Join a dynamic B2B tech startup revolutionising AI in healthcare, manufacturing, and agriculture.
- Benefits: Enjoy a competitive salary and hybrid working with 3 days in the Bristol office.
- Why this job: Be part of an exciting growth phase and shape the future of AI technology.
- Qualifications: Expertise in Deep Learning and Computer Vision; experience in a tech startup is essential.
- Other info: Passion for data science and innovation is a must; nice-to-haves include NLP and Generative AI.
The predicted salary is between 68000 - 95000 £ per year.
Senior Data Scientist - Computer Vision opportunity with a B2B tech startup in the AI space. This is a hybrid role requiring 3 days per week in the Central Bristol office. Our client works with enterprise businesses on their AI capabilities in areas such as healthcare, manufacturing and agriculture. Working cross-functionally in this fast-growing startup, you will have a unique opportunity to develop first-class AI and ML products and solutions and join a business at an exciting stage of growth as they prepare to scale.
You should consider this opportunity if the following appeals to you:
- You have a passion and deep expertise in Computer Vision
- You’ve worked in a startup before and prefer all that it entails over a job in a large corporation
- You are excited about Generative AI and what the future holds
About the role:
- Develop Deep Learning solutions
- Develop the methodology and assessment criteria to measure solution performance
- Track and implement advancements in Deep Learning and Computer Vision
- Maintain Machine Learning products
- Help shape the data science team as it scales
About you:
- Current or recent experience in a tech startup or scale-up with a fast-paced environment
- Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.)
- Understanding of transfer learning and popular augmentation techniques
- Able to apply machine learning to real-life problems
- Vision Transformers, DeepLabv3, SegFormer, etc.
- Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras
- Thrive in a cross-functional working environment
- Possess a clear passion for data science beyond the day job
Nice-to-haves:
- NLP, OpenCV, Generative AI, data visualization, MLOps
On offer:
- Base salary of £85k - £95k depending on experience
- Hybrid working - 3 days in the Bristol office
Senior Data Scientist (City Of Bristol) employer: Wilson Grey
Contact Detail:
Wilson Grey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (City Of Bristol)
✨Tip Number 1
Familiarise yourself with the latest advancements in Computer Vision and Deep Learning. Being able to discuss recent breakthroughs or trends during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the AI and tech startup community, especially those who have experience in B2B environments. Attend local meetups or online webinars to connect with potential colleagues and gain insights into the company culture.
✨Tip Number 3
Prepare to showcase your practical experience with relevant tools and frameworks like Python, TensorFlow, and PyTorch. Be ready to discuss specific projects where you've applied these technologies to solve real-world problems.
✨Tip Number 4
Research the company's current projects and their impact on industries like healthcare and agriculture. This knowledge will not only help you tailor your responses but also show your genuine interest in contributing to their mission.
We think you need these skills to ace Senior Data Scientist (City Of Bristol)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Computer Vision and Deep Learning. Include specific projects or roles where you've applied these skills, especially in a startup environment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the startup culture. Mention why you're excited about this particular role and how your background aligns with their needs.
Showcase Relevant Projects: If you have worked on relevant projects, especially those involving image classification or generative AI, summarise them in your application. Highlight your role, the technologies used, and the impact of your work.
Highlight Cross-Functional Experience: Emphasise any experience you have working in cross-functional teams. This is important for a startup environment, so mention how you've collaborated with other departments to achieve common goals.
How to prepare for a job interview at Wilson Grey
✨Showcase Your Passion for Computer Vision
Make sure to express your enthusiasm for Computer Vision during the interview. Share specific projects or experiences where you've applied your expertise, especially in areas like image classification or facial recognition.
✨Demonstrate Startup Experience
Highlight your previous experience in a startup environment. Discuss how you thrived in fast-paced settings and contributed to team dynamics, as this role requires adaptability and collaboration across functions.
✨Prepare for Technical Questions
Expect technical questions related to Deep Learning methodologies and tools. Brush up on your knowledge of Python, Scikit-Learn, and frameworks like PyTorch or TensorFlow, and be ready to discuss how you've used them in real-life applications.
✨Discuss Future Trends in AI
Be prepared to talk about your views on the future of Generative AI and advancements in the field. This shows that you're not only knowledgeable but also genuinely interested in the evolution of AI technologies.