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- Tasks: Lead the development of machine learning models and deploy innovative AI solutions.
- Company: Chubb, a global leader in the insurance industry focused on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex business challenges with data science.
- Qualifications: 6+ years in data science, strong ML expertise, and excellent communication skills.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
The predicted salary is between 48000 - 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.
- 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 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
✨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 asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data science projects, especially those related to predictive modelling and machine learning. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders at Chubb.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Chubb.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your expertise in machine learning, AI solutions, and any relevant projects you've worked on in the insurance sector.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of how you've solved complex business challenges using data-driven approaches.
Showcase Your Communication Skills: Since this role involves translating complex concepts for various audiences, make sure to demonstrate your communication skills in your application. Use clear language and avoid jargon where possible.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently. Plus, it’s super easy!
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, especially in the insurance sector. Chubb will want to see how your experience aligns with their needs, so have examples ready!
✨Communicate Clearly
Since you'll be translating complex data concepts for various stakeholders, practice explaining your past projects in simple terms. Use analogies or relatable examples to make your points clear. This will show that you can bridge the gap between technical and non-technical audiences.
✨Showcase Collaboration Skills
Chubb values teamwork, so be prepared to talk about how you've worked with ML engineers or business stakeholders in the past. Highlight any successful collaborations that led to impactful solutions, as this will demonstrate your ability to work well in a team environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in real-world scenarios. Think of challenges you've faced in deploying ML/AI solutions and how you overcame them. This will help you showcase your strategic thinking and practical application of data science.
