At a Glance
- Tasks: Design, develop, and deploy AI-driven applications using machine learning and LLM technologies.
- Company: Vitality is a leading health and life insurance provider based in London.
- Benefits: Flexible working options and a hybrid model with 2 days in the London office.
- Other info: Full-time role with a 37.5-hour work week.
- Why this job: Join a high-profile team recognised for driving strategic value through innovative AI solutions.
- Qualifications: Proven expertise in machine learning, MLOps, and strong stakeholder influence skills required.
The predicted salary is between 60000 - 80000 £ per year.
About The Role
Team Data Science and AI
Working Pattern - Hybrid 2 days 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 machine learning expertise
- Strong MLOps and deployment capability
- Demonstrated stakeholder and influence skills
What this role is all about:
At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.
We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP).
Key Actions:
- Work with the business to gather business requirements for new AI applications
- Design and implement AI applications
- Deploy AI applications
Senior Data Scientist in London employer: Vitality Corporate Services
Vitality offers a dynamic work environment in London, focusing on health and life insurance. The Data Science team is pivotal in delivering transformational projects, supported by strong leadership and resources. Employees enjoy flexible working arrangements and opportunities to innovate in AI applications.
Contact Details:
Vitality Corporate Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist 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 Vitality Corporate Services.
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We think you need these skills to ace Senior Data Scientist 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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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!
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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 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.
