Senior Data Scientist - Computer Vision
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and delivery of innovative computer vision data products.
  • Company: Join a high-growth InsurTech shaping the future of data capabilities.
  • Benefits: Enjoy equity packages, performance bonuses, private healthcare, and pension contributions.
  • Why this job: Make a significant impact in a fast-paced environment while advancing your career.
  • Qualifications: Proven experience in computer vision, machine learning, Python, and SQL required.
  • Other info: This is a unique zero-to-one build opportunity for tech enthusiasts.

The predicted salary is between 60000 - 84000 £ per year.

Senior Data Scientist – Computer Vision Salary: £70,000 – £100,000 Data Idols are working with a high-growth InsurTech to hire a Senior Data Scientist who will lead the design and delivery of computer vision data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company\’s future data capabilities and have a measurable impact on business performance. About the Role We are seeking a Senior Data Scientist with strong expertise in computer vision to design and deploy models that solve complex, real-world image challenges. This is a hands-on role where you\’ll experiment, build, and scale machine learning solutions, working closely with product and engineering teams in a fast-moving, high-growth environment. Key Responsibilities Develop and deploy computer vision models, with a focus on image classification and quality scoring Apply machine learning techniques such as supervised learning and anomaly detection to visual data problems Work with large-scale, complex image datasets to create production-ready solutions Collaborate cross-functionally to ensure models are effectively integrated and deliver measurable impact Key Skills & Experience Proven experience with computer vision, particularly image classification and quality assessment Strong grounding in machine learning and statistics Proficiency in Python and SQL Track record of building and deploying production-ready models Ability to thrive in fast-paced, scaling environments What We Offer Equity package, with performance-based bonuses Private healthcare Pension contributionThis role is an excellent opportunity for a computer vision specialist looking to make a significant technical impact while advancing their career in a scaling environment. Senior Data Scientist – Computer Vision

Senior Data Scientist - Computer Vision employer: Data Idols

At Data Idols, we pride ourselves on being an exceptional employer that fosters innovation and growth in a dynamic InsurTech environment. Our collaborative work culture encourages creativity and experimentation, providing you with the unique opportunity to lead groundbreaking projects in computer vision while enjoying competitive benefits such as equity packages, private healthcare, and a robust pension contribution. Join us to not only advance your career but also make a tangible impact on the future of data capabilities in our industry.
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Contact Detail:

Data Idols Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist - Computer Vision

✨Tip Number 1

Familiarise yourself with the latest advancements in computer vision. Stay updated on recent research papers and industry trends, as this knowledge will not only enhance your understanding but also demonstrate your passion for the field during discussions.

✨Tip Number 2

Showcase your hands-on experience by preparing a portfolio of projects that highlight your skills in image classification and model deployment. Be ready to discuss specific challenges you faced and how you overcame them, as this will set you apart from other candidates.

✨Tip Number 3

Network with professionals in the InsurTech space or those who work with computer vision. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in interviews.

✨Tip Number 4

Prepare to discuss how you would approach building and scaling machine learning solutions in a fast-paced environment. Think about examples from your past experiences where you successfully delivered impactful results under tight deadlines.

We think you need these skills to ace Senior Data Scientist - Computer Vision

Computer Vision Expertise
Image Classification
Quality Assessment
Machine Learning Techniques
Supervised Learning
Anomaly Detection
Python Programming
SQL Proficiency
Model Deployment
Data Analysis
Collaboration Skills
Problem-Solving Skills
Experience with Large-Scale Datasets
Adaptability in Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in computer vision, machine learning, and any relevant projects. Use specific examples that demonstrate your ability to develop and deploy models, particularly in image classification.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for computer vision and your understanding of the InsurTech industry. Mention how your skills align with the company's goals and how you can contribute to their growth.

Showcase Relevant Projects: Include a portfolio or links to projects that illustrate your expertise in computer vision. Highlight any production-ready models you've built and deployed, as well as your experience with large-scale datasets.

Prepare for Technical Questions: Anticipate technical questions related to machine learning techniques, particularly those relevant to image classification and anomaly detection. Be ready to discuss your problem-solving approach and past experiences in detail.

How to prepare for a job interview at Data Idols

✨Showcase Your Technical Skills

Be prepared to discuss your experience with computer vision, particularly in image classification and quality assessment. Bring examples of projects you've worked on, and be ready to explain the techniques you used and the outcomes achieved.

✨Demonstrate Problem-Solving Abilities

Expect to face real-world image challenges during the interview. Practice explaining your thought process for solving complex problems, especially how you would apply machine learning techniques like supervised learning and anomaly detection.

✨Highlight Collaboration Experience

Since this role involves working closely with product and engineering teams, be sure to share examples of how you've successfully collaborated in the past. Discuss how you ensured that your models were effectively integrated into existing systems.

✨Prepare Questions About the Company

Research the InsurTech company and prepare insightful questions about their data capabilities and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.

Senior Data Scientist - Computer Vision
Data Idols
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  • Senior Data Scientist - Computer Vision

    London
    Full-Time
    60000 - 84000 £ / year (est.)

    Application deadline: 2027-09-04

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    Data Idols

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