At a Glance
- Tasks: Lead the development of innovative Generative AI solutions in a fast-paced environment.
- Company: Join AIG, a global leader in insurance revolutionising risk assessment with cutting-edge tech.
- Benefits: Comprehensive benefits package focusing on health, wellbeing, and professional development.
- Other info: Inclusive culture that values diversity and continuous learning opportunities.
- Why this job: Shape the future of insurance while working with talented data scientists and advanced technologies.
- Qualifications: Experience in Generative AI solutions and strong collaboration skills required.
The predicted salary is between 63000 - 77000 £ per year.
Join us as a Senior Data Scientist, GenAI. AIG is on a journey to revolutionise how insurance risk is accessed and solutions are delivered to millions of customers globally through the use of cutting-edge technologies like Generative AI. Over the past year and a half, we have successfully delivered highly impactful, enterprise-wide Generative AI solutions into production. Our success to date is fuelling the rapid expansion of use cases across AIG, and by extension, the need for new highly skilled and experienced candidates in the GenAI space to join our team. This is an exceptional opportunity to join a team that is shaping the future of insurance, lead and grow a talented team of data scientists, work on cutting-edge technologies, and advance your career.
How you will create an impact:
- Develop delivery of data science and generative AI solutions in accordance with the business requirements.
- Monitor solutions in production.
- Collaborate with cross-functional teams that comprise product managers, engineers, and business leaders.
- Build evaluation frameworks to measure LLMs efficacy, ground truth dataset quality, and guide product development roadmap.
What you’ll need to succeed:
- Experience with building Generative AI Solutions (Prompt engineering, designing and building RAG frameworks, validation pipelines, observability and monitoring solutions).
- Experience in a traditional data science role, preferably in Python, working in an agile production-oriented environment, handling defect triage/RCA/Fix.
- Preferred experience on the Palantir platform or who can demonstrate certification.
- Ability to work in a fast-paced high-stakes environment.
- Ability to effectively communicate and collaborate within and across teams.
- Highly technical and hands-on team member.
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters:
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing, and financial security—as well as your professional development—to bring peace of mind to you and your family.
Welcome to a culture of inclusion:
We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions, and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities, and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honoured that our drive for positive change has been recognised by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
Data Scientist, GenAI in London employer: AIG Insurance
AIG Insurance is an exceptional employer, offering a dynamic work environment where collaboration thrives, particularly in the heart of Lloyd's. With a strong emphasis on professional development, employees benefit from extensive growth opportunities and a supportive culture that values teamwork and compliance excellence. Working at AIG not only provides a chance to be part of a leading insurance firm but also ensures meaningful contributions to the financial integrity of managed syndicates.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, GenAI in London
✨Get Involved in Data Science Meetups
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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 AIG Insurance.
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We think you need these skills to ace Data Scientist, GenAI 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AIG Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AIG Insurance. 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 AIG Insurance
✨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!
✨Showcase Your Projects
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 AIG Insurance!
✨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.
