At a Glance
- Tasks: Enable data and digital capabilities, translating needs into practical solutions.
- Company: Join AIG, a leader in insurance and risk management.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact by bridging teams and driving digital transformation.
- Qualifications: Strong analytical skills and experience in data-driven projects.
American International Group (AIG) invites applications for a Data & Digital Analyst to enable data and digital capabilities across the Talbot Underwriting Services landscape. The role bridges underwriting, operations and platform teams to translate needs into practical, scalable data and digital solutions, ensuring adoption and business value.
You will partner with stakeholders to shape requirements, support backlog prioritisation, and drive governance and delivery across multiple streams.
Data & Digital Transformation Analyst in London employer: American International Group
AIG is an exceptional employer, offering a dynamic work environment in London where collaboration and inclusivity are at the forefront of our culture. With a robust Total Rewards program and a strong commitment to professional development, employees are empowered to grow their careers while making meaningful contributions to the business. Join us to be part of a team that values innovation and fosters lasting relationships with clients and brokers alike.
Contact Details:
American International Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Digital Transformation Analyst in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like American International Group.
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We think you need these skills to ace Data & Digital Transformation Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at American International Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at American International Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at American International Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
