At a Glance
- Tasks: Lead AI and data science initiatives to drive business value across Aviva's IWR.
- Company: Join Aviva, a leading company in the insurance and financial services sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a diverse team focused on innovation and responsible AI governance.
- Why this job: Shape the future of AI and analytics while making a real impact in a dynamic environment.
- Qualifications: Proven experience in AI, analytics, and team leadership.
Aviva is seeking a Head of AI, Analytics and Data Science to lead end-to-end capability across Aviva's IWR business. You will shape data strategy, prioritise high-impact initiatives and drive measurable business value through AI and analytics at enterprise scale.
You will oversee a ~65-strong team, partner with senior leaders to embed data-driven decision making, ensure responsible AI governance and align with Group to scale reuse and impact across Aviva.
#J-18808-LjbffrHead of AI, Analytics & Data Science — IWR Growth in Bristol employer: Aviva
Aviva is an exceptional employer that prioritises employee well-being and growth, offering a competitive salary of £28,600 along with a generous bonus scheme and pension contributions. Our collaborative work culture in Leeds fosters a supportive environment where you can thrive in a fast-paced role while making a meaningful impact on customers' lives. With flexible working options, extensive benefits, and opportunities for personal development, Aviva is committed to helping you build a rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI, Analytics & Data Science — IWR Growth in Bristol
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of AI, Analytics & Data Science — IWR Growth in Bristol
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 Aviva, 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 Aviva. 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 Aviva
✨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 Aviva!
✨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.
