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- Tasks: Lead AI initiatives, develop advanced models, and drive product strategy.
- Company: Join a fast-growing startup focused on AI and data innovation.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- 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 computer vision models, and strong analytical skills.
- Other info: Exciting phase of growth with a focus on innovative AI solutions.
The predicted salary is between 65000 - 75000 £ 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
Contact Detail:
Few&Far Recruiting Team
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 AI projects, especially those involving computer vision models. 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 past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got exclusive features and resources to help you stand out. Plus, it shows you’re genuinely interested in joining our team.
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 are excited about shaping the future of our products.
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 directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates. Plus, we love seeing applications come in through our own channels!
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
This role involves working closely with data engineers and ML engineers, so be ready to talk about your experience collaborating across teams. Share instances where your teamwork led to successful project outcomes or improved processes.
✨Communicate Your Vision
As a Senior Data Scientist, you'll need to contribute to the strategic direction of the product. Be prepared to articulate your vision for AI capabilities and how they can drive customer success. Show that you can think big while also being detail-oriented.