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- Tasks: Develop cutting-edge AI and ML products in a fast-paced startup environment.
- Company: Join a dynamic B2B tech startup revolutionising AI capabilities across various industries.
- 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, shaping the future of AI and Computer Vision.
- Qualifications: Expertise in Deep Learning, Computer Vision, and experience in a tech startup is essential.
- Other info: Passion for data science and innovation is key; nice-to-haves include NLP and MLOps.
The predicted salary is between 85000 - 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
Data Science Data Science Senior Data Scientist (Python) (Remote) employer: Wilson Grey
Contact Detail:
Wilson Grey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨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
Showcase your experience in a startup environment by preparing examples of how you've thrived in fast-paced settings. Highlight specific projects where you contributed to scaling solutions or adapting to rapid changes.
✨Tip Number 3
Brush up on your Python skills, especially with libraries like Scikit-Learn, NumPy, and PyTorch. Be ready to discuss how you've applied these tools in real-life scenarios, as practical knowledge is key for this role.
✨Tip Number 4
Prepare to engage in discussions about Generative AI and its future applications. Showing enthusiasm and insight into how it can impact various industries will set you apart from other candidates.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Deep Learning and Computer Vision. 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 company's mission. Mention your excitement about working in a fast-paced startup and how your expertise aligns with their needs.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving Python, Scikit-Learn, or TensorFlow, be sure to include them in your application. Highlight your role and the impact of your contributions.
Prepare for Technical Questions: Anticipate technical questions related to Deep Learning and Computer Vision during the interview process. Brush up on key concepts and be ready to discuss your problem-solving approach in real-life scenarios.
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, such as image classification or facial recognition, to demonstrate your deep understanding and passion for the field.
✨Highlight Startup Experience
Since this role is in a fast-paced startup environment, be prepared to discuss your previous experiences in similar settings. Emphasise how you thrived in dynamic situations and contributed to the growth of the team or product, showcasing your adaptability and collaborative spirit.
✨Discuss Deep Learning Methodologies
Be ready to talk about the methodologies you've used in developing deep learning solutions. Explain how you measure performance and track advancements in the field, as this will show your technical depth and commitment to staying updated with the latest trends.
✨Prepare Questions About the Company’s AI Vision
Research the company’s current AI capabilities and future goals. Prepare insightful questions that reflect your interest in their work, especially regarding generative AI and how they plan to scale their products. This will demonstrate your proactive approach and genuine interest in contributing to their mission.
