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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 leveraging data science to solve complex business challenges.
- Qualifications: 6+ years in data science with strong expertise in machine learning and AI.
- Other info: Opportunity to mentor others and drive innovation in a dynamic industry.
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.
- Bachelor's or Master's degree in Statistics, Mathematics, Analytics, Computer Science, or a related field.
- 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).
- 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.
- Bachelor's or Master's degree in Statistics, Mathematics, Analytics, Computer Science, or a related field.
- 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).
- 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: Chubb Insurance Hong Kong
Contact Detail:
Chubb Insurance Hong Kong 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 or other companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning models and AI solutions. Use platforms like GitHub to share your projects. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data science concepts in simple terms. Remember, you’ll need to translate your technical knowledge into actionable insights for stakeholders, so being clear and concise is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s make some data-driven magic happen together!
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 highlights your experience in data science and the insurance sector. We want to see how your skills in machine learning and AI can directly benefit our team at Chubb.
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. Keep it engaging and relevant to the role.
Showcase Your Projects: Include examples of your previous work, especially any ML/AI solutions you've deployed. We love seeing real-world applications of your skills, so don’t hold back on the details!
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’re considered for this exciting opportunity at Chubb!
How to prepare for a job interview at Chubb Insurance Hong Kong
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques and AI fundamentals. Be ready to discuss specific models you've developed, the challenges you faced, and how you overcame them. Chubb will want to see that you can not only talk the talk but also walk the walk when it comes to practical applications.
✨Showcase Your Collaboration Skills
Since this role involves working closely with business stakeholders and ML engineers, be prepared to share examples of past collaborations. Highlight how you translated complex data concepts into actionable insights for non-technical audiences. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around Python and its libraries like pandas and TensorFlow. Brush up on predictive modelling and be ready to explain your thought process behind choosing certain algorithms for specific problems. Confidence in your technical skills will go a long way!
✨Communicate Clearly and Confidently
Your presentation skills are crucial for this role. Practice explaining complex findings in simple terms, as you'll need to convey insights to diverse audiences. Consider preparing a few key points or a mini-presentation on a project you've worked on to showcase your communication prowess during the interview.
