At a Glance
- Tasks: Lead AI initiatives, develop computer vision models, and enhance product strategies.
- Company: Join a fast-growing startup focused on AI and data innovation.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Other info: Exciting phase of growth with a focus on building scalable AI solutions.
- Why this job: Shape the future of AI while making a real impact in a dynamic environment.
- Qualifications: 5+ years in deep learning, experience with object detection, and strong problem-solving skills.
The predicted salary is between 52000 - 78000 £ per year.
We are seeking a Senior Data Scientist to join our growing team, reporting directly to the Director of Engineering. This is a critical hire as we continue to invest in our AI and data capabilities to enhance the value we offer to customers and shape our long-term product roadmap.
This role is ideal for an experienced AI leader who thrives in a fast-paced environment, can contribute to strategic direction, build and mentor a high-performing team, and implement effective processes that drive tangible outcomes for customers.
With strong traction in the market and a growing customer base, we are in an exciting phase of growth. Our current solutions offer significant productivity gains by digitising field operations — yet we believe this is just the beginning. By deepening our investment in AI, we aim to unlock new opportunities, such as predicting delays, preventing site stoppages, and enabling dynamic scheduling. The Senior Data Scientist will spearhead this effort — building advanced AI capabilities and transforming them into scalable, commercial products.
Key Responsibilities- Contribute to the long-term product vision and strategic direction.
- Develop an AI technology roadmap aligned with business goals.
- Build and deploy computer vision models (e.g., object detection, image segmentation).
- Collaborate with data engineers to improve data quality, labelling processes, and model performance.
- Work with ML engineers to productionise AI models effectively.
- Ensure customer success and adoption of AI-driven features and insights.
- 5+ years working with deep learning frameworks such as PyTorch and TensorFlow.
- 2+ years of experience in object detection models, including YOLO, Faster R-CNN, and ViT.
- Proven track record of training, fine-tuning, quantising, and deploying computer vision models in production.
- Expertise in data augmentation, transfer learning, and hyperparameter tuning for complex datasets.
- Strong understanding of hybrid search and retrieval-augmented generation (RAG) techniques.
- Solid experience with Large Language Models (LLMs), including multi-modal models and applying prompt engineering and fine-tuning.
- Experience deploying models via cloud platforms (AWS, GCP) and using Docker, Linux, and edge device optimisation.
- Advanced degree in Computer Science, Statistics, Data Science, or a related field.
- Proven experience building and commercialising machine learning models.
- Deep knowledge of the ML lifecycle: data annotation, model training, serving, scoring, productionisation, and feedback loops.
- Understanding of modern data ecosystems and tools across ingestion, engineering, quality, orchestration, and governance.
- Strong analytical and structured problem-solving skills.
- Proactive, collaborative, and comfortable navigating ambiguity.
- Ability to influence and communicate effectively with stakeholders across technical and business teams.
- Operational excellence in building scalable processes and culture around AI and analytics delivery.
- Experience in testing and validating non-deterministic systems.
Senior Data Scientist employer: Few&Far
At Few&Far, we pride ourselves on being an innovative employer that fosters a dynamic work culture where creativity and collaboration thrive. As a Senior Data Scientist, you will have the opportunity to lead cutting-edge AI projects in a fast-paced environment, while benefiting from our commitment to employee growth through mentorship and professional development. Located in London, we offer a vibrant atmosphere with access to a diverse talent pool and exciting networking opportunities, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data capabilities. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science scenarios and be ready to discuss your experience with deep learning frameworks and model deployment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to get noticed by the hiring team directly.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with deep learning frameworks and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. We love seeing candidates who can communicate their vision clearly.
Showcase Your Projects:If you've built or deployed any AI models, make sure to showcase them in your application. We’re keen to see your hands-on experience, especially with computer vision models and cloud deployment!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Few&Far
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with object detection models, as well as any specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Highlight your analytical skills and structured approach to problem-solving, especially in the context of AI and data science.
✨Demonstrate Collaboration
Since this role involves working closely with data engineers and ML engineers, be ready to discuss how you've successfully collaborated with cross-functional teams in the past. Share specific instances where your teamwork led to successful project outcomes.
✨Communicate Your Vision
Articulate your understanding of the long-term product vision and strategic direction for AI in the company. Show that you can not only contribute to this vision but also inspire and mentor others to achieve it.
