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- Tasks: Lead the development of machine learning models and deploy AI solutions in the insurance sector.
- Company: Chubb, a global leader in innovative insurance solutions.
- Benefits: Competitive salary, professional growth, and a collaborative work environment.
- Why this job: Make a real impact by solving complex business challenges with data science and AI.
- Qualifications: 6+ years in data science, strong ML expertise, and excellent communication skills.
- Other info: Opportunity to mentor others and drive data-driven initiatives across the organisation.
The predicted salary is between 43200 - 72000 £ per year.
Chubb is a global leader in the insurance industry committed to delivering innovative solutions that meet the evolving needs of our clients. We are seeking a highly skilled and experienced Senior Data Scientist to join our team and play a pivotal role in driving data-driven decision-making and innovation. If you are passionate about leveraging data science, machine learning, and AI to solve complex business challenges we want to hear from you.
As a Senior Data Scientist at Chubb you will serve as a subject matter expert in Predictive Modeling, Machine Learning Algorithms, and AI Solutions with a strong focus on the insurance sector. You will collaborate with business stakeholders to design, develop, and deploy impactful data science solutions that drive measurable value. This role requires a blend of technical expertise, strategic thinking, and exceptional communication skills to ensure the successful adoption of data-driven initiatives across the organization.
Key Responsibilities- Model Development: Lead the design and development of machine learning models ensuring optimal performance and practical application in production environments.
- Solution Deployment: Deploy robust, scalable, and production-ready ML/AI solutions aligned with business objectives.
- Collaboration: Partner with ML Engineers to create scalable systems and model architectures for real-time ML/AI services.
- AI Innovation: Work closely with AI engineers to design and implement AI solutions that address complex business challenges.
- Stakeholder Communication: Translate complex data science and AI concepts into clear actionable insights for both technical and non-technical audiences.
- Quality Assurance: Review team deliverables including code and presentations to ensure high-quality outputs before sharing with stakeholders.
- Mentorship: Mentor and guide team members to foster a high-performance collaborative work environment.
- Project Management: Plan and manage projects proactively, ensuring seamless product integration and adherence to industry best practices in ML.
- Business Impact: Collaborate with business stakeholders, product owners, and data teams to develop impactful solutions to business problems.
- Performance Metrics: Define and track key performance indicators (KPIs) to measure the value delivered to end-users.
- Experience: Minimum of 6 years of hands-on experience in data science with a proven track record of deploying ML/AI solutions in production environments. Extensive experience in the insurance sector with a deep understanding of industry-specific data challenges.
- Education: Bachelors or Masters degree in Statistics, Mathematics, Analytics, Computer Science or a related field.
- Technical Expertise: Strong expertise in machine learning techniques including ensemble methods, decision trees, and regression analysis. Solid understanding of AI fundamentals including Retrieval-Augmented Generation (RAG) and Agentic frameworks. Advanced proficiency in Python and its data science libraries (e.g. pandas, scikit-learn, TensorFlow).
- Soft Skills: Exceptional presentation and communication skills with the ability to convey complex findings to diverse audiences. Proven experience working directly with business stakeholders to deliver impactful solutions.
Senior Data Scientist in London employer: Description Chubb
Contact Detail:
Description Chubb Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data science fields. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings at Chubb!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning models and AI solutions. Make sure to include case studies that highlight how your work has driven business impact. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with predictive modelling and AI solutions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are passionate about joining us at Chubb. Tailor your application to highlight your relevant experience in the insurance sector and your expertise in data science. Let’s make it happen!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with predictive modelling and machine learning, especially in the insurance sector. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can drive innovation at Chubb. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Communication Skills: As a Senior Data Scientist, you’ll need to communicate complex ideas clearly. In your application, demonstrate your ability to translate technical jargon into actionable insights. This will show us you can engage with both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need right there!
How to prepare for a job interview at Description Chubb
✨Know Your Data Science Inside Out
Make sure you brush up on your knowledge of machine learning algorithms and predictive modelling techniques. Be ready to discuss specific projects where you've successfully deployed ML/AI solutions, especially in the insurance sector. This will show that you not only understand the theory but can also apply it practically.
✨Communicate Like a Pro
Since you'll need to translate complex data concepts for non-technical stakeholders, practice explaining your past projects in simple terms. Use clear examples to demonstrate how your work has driven business value. This will highlight your exceptional communication skills, which are crucial for this role.
✨Showcase Your Collaboration Skills
Prepare to discuss how you've worked with cross-functional teams, particularly with ML engineers and business stakeholders. Share specific instances where your collaboration led to successful project outcomes. This will emphasise your ability to work in a team-oriented environment, which is key for the Senior Data Scientist position.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of AI fundamentals and Python libraries. Brush up on topics like ensemble methods, decision trees, and regression analysis. Being able to confidently answer these questions will demonstrate your technical expertise and readiness for the challenges of the role.
