At a Glance
- Tasks: Design and deploy innovative AI applications using machine learning and cloud technologies.
- Company: Join Vitality, a leader in health and wellness innovation.
- Benefits: Enjoy competitive salary, bonus schemes, health insurance, and a generous pension plan.
- Other info: Flexible working options and excellent career growth opportunities await you.
- Why this job: Make a real impact with cutting-edge AI solutions in a supportive environment.
- Qualifications: Experience in machine learning, MLOps, and deploying AI applications.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Vitality to connect them with exceptional professionals for this role. Submit your CV and any additional required information after you have read this description by clicking on the application button.
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). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions.
Key Actions:
- Work with the business to gather business requirements for new AI applications
- Design and implement AI applications
- Deploy AI applications into production environments on a Google Cloud Platform
- Collaborate with cross-functional teams to integrate AI applications with Enterprise systems
- Optimize models for performance, scalability, and cost-efficiency
- Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment
What do you need to thrive?
- Demonstrable experience of working with the business to create a detailed set of project requirements
- Strong foundation in traditional machine learning (classification, regression, etc.)
- Hands-on experience with LLM-based applications
- Experience building RAG systems and agentic workflows that leverage external tools.
- Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.)
- Proven track record of deploying AI applications into production environments
- Strong understanding of API development, microservices, and containerization (Docker, Kubernetes)
- Knowledge of MLOps best practices
- Excellent problem-solving skills and ability to work in a fast-paced environment
So, what's in it for you?
- Bonus Schemes – A bonus that regularly rewards you for your performance
- A pension of up to 12%– We will match your contributions up to 6% of your salary
- Our award-winning Vitality health insurance – With its own set of rewards and benefits
- Life Assurance – Four times annual salary
These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!
If you are successful in your application and join us at Vitality, this is our promise to you, we will:
- Help you to be the healthiest you've ever been
- Create an environment that embraces you as you are and enables you to be your best self
- Give you flexibility on how, where and when you work
- Help you advance your career by playing you to your strengths
- Give you a voice to help our business grow and make Vitality a great place to be
- Give you the space to try, fail and learn
- Provide a healthy balance of challenge and support
- Recognise and reward you with a competitive salary and amazing benefits
- Be there for you when you need us
- Provide opportunities for you to be a force for good in society
We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Bristol
✨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!
✨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 Senior Data Scientist at Vitality.
✨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.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Vitality, 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 Senior Data Scientist 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 Vitality, 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. 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
✨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!
✨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.
