At a Glance
- Tasks: Develop and deploy AI solutions that make a real impact in the insurance industry.
- Company: Join a forward-thinking team at a leading insurance company focused on innovation.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career development and impactful work.
- Why this job: Be at the forefront of AI technology and work on exciting projects with real-world applications.
- Qualifications: Proven Python skills, machine learning knowledge, and a passion for generative AI.
The predicted salary is between 63000 - 77000 £ per year.
About The Role Team Data Science and AI Working Pattern - Hybrid 2days per week in the Vitality London Office.
Full time, 37.5 hours per week.
We are happy to discuss flexible working!
Top 3 skills needed for this role: Proven Python Development Demonstrated Machine Learning Foundations Emerging Generative AI Expertise What this role is all about: We are looking for an Associate Data Scientist (AI Engineer) to help develop and deliver AI solutions across the insurance value chain.
Working as part of a growing Data Science team, you'll collaborate with data scientists, engineers and business stakeholders to build machine learning models, Gen AI applications, AI assistants and customer-facing tools.
This role offers the opportunity to work on a diverse range of AI initiatives, develop practical experience in deploying solutions at scale and contribute to projects that create measurable impact across the business.
Key Actions Contribute to gathering and defining requirements for new AI solutions Design, build and deploy AI-driven applications across the insurance value chain Develop machine learning and Generative AI models to address business challenges Support the delivery of AI Assistants, RAG solutions and voice-enabled platforms Collabora...
Associate Data Scientist employer: Vitality Corporate Services
At Vitality, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a vibrant environment where employees can thrive, with flexible working options and a strong focus on personal and professional growth. As a Digital Analyst, you'll have the opportunity to make a meaningful impact on our digital strategies while enjoying a supportive team atmosphere and access to valuable resources for your career development.
Contact Details:
Vitality Corporate Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vitality Corporate Services!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Associate Data Scientist at Vitality Corporate Services.
✨Leverage Professional Networks
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 Vitality Corporate Services.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Data Scientist at Vitality Corporate Services, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Associate Data Scientist
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 Vitality Corporate Services, 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 Vitality Corporate Services. 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 Vitality Corporate Services
✨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 Vitality Corporate Services!
✨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.
