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- Tasks: Develop cutting-edge AI solutions 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 model with 3 days in the office.
- Why this job: Be part of an exciting growth phase and shape the future of AI and ML products.
- 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!
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
Contact Detail:
Wilson Grey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the AI and Computer Vision fields. Attend meetups, webinars, or conferences where you can connect with people who work in startups or have experience in the B2B tech space. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your passion for data science by engaging in relevant projects or contributing to open-source initiatives. Highlight any personal projects that demonstrate your expertise in Deep Learning and Computer Vision, as this will set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the latest advancements in Generative AI and related technologies. Being able to discuss recent trends and innovations during interviews will show your enthusiasm and commitment to staying at the forefront of 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 demonstrate your ability to thrive in a fast-paced startup environment and your understanding of cross-functional collaboration.
We think you need these skills to ace Senior Data Scientist
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 Generative AI or Machine Learning, summarise them in your application. Highlight your contributions and the impact of your work.
Highlight Cross-Functional Experience: Since the role involves working cross-functionally, emphasise any experience you have collaborating with different teams. This could include working with product managers, engineers, or other data scientists.
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
Be ready to tackle technical questions related to Deep Learning and Computer Vision. Brush up on methodologies, performance metrics, and recent advancements in the field to showcase your knowledge and problem-solving skills.
✨Discuss Future Trends in AI
Engage in conversations about the future of Generative AI and its implications. This shows that you're not only knowledgeable but also forward-thinking, which is crucial for a role in a rapidly evolving tech startup.
