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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 model with 3 days in the 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 highly valued.
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 (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 (Remote)
✨Tip Number 1
Network with professionals in the AI and data science community, especially those who have experience in startups. Attend local meetups or online webinars focused on computer vision and deep learning to make connections that could lead to referrals.
✨Tip Number 2
Showcase your passion for computer vision by contributing to open-source projects or creating your own portfolio of projects. This demonstrates not only your expertise but also your enthusiasm for the field, which is crucial for a startup environment.
✨Tip Number 3
Familiarise yourself with the latest advancements in deep learning and computer vision technologies. Being able to discuss recent trends or breakthroughs during interviews can set you apart from other candidates and show your commitment to staying current in the field.
✨Tip Number 4
Prepare to discuss how you've applied machine learning to solve real-life problems in previous roles. Be ready to share specific examples that highlight your problem-solving skills and ability to work cross-functionally, as this is key in a fast-paced startup.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (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 expertise in the field. Mention why you're excited about this particular role and how your background aligns with the company's goals.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving image classification or generative AI, be sure to include them in your application. Provide links to your work or GitHub repositories if possible.
Highlight Cross-Functional Experience: Emphasise your ability to work in cross-functional teams. Provide examples of how you've collaborated with other departments in previous roles, as this is crucial for a startup environment.
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 of the field.
✨Highlight Startup Experience
Since the role is in a fast-paced startup environment, be prepared to discuss your previous experiences in similar settings. Emphasise how you adapted to challenges and contributed to team success, showcasing your ability to thrive in dynamic situations.
✨Discuss Deep Learning Methodologies
Be ready to talk about the methodologies you've used in developing Deep Learning solutions. Explain how you measure solution performance and any advancements you've tracked in the field, as this will show your commitment to staying current in the industry.
✨Prepare for Technical Questions
Expect technical questions related to Python, Scikit-Learn, NumPy, and frameworks like PyTorch or TensorFlow. Brush up on your knowledge of transfer learning and augmentation techniques, as well as any relevant tools or libraries that could be beneficial for the role.
