Senior Data Scientist

Job Description

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 capabilityDemonstrated 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 applicationsDeploy AI applications into production environments on a Google Cloud PlatformCollaborate with cross-functional teams to integrate AI applications with Enterprise systemsOptimize models for performance, scalability, and cost-efficiencyStay 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 applicationsExperience 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 environmentsStrong understanding of API development, microservices, and containerization (Docker, Kubernetes)Knowledge of MLOps best practicesExcellent 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 salaryOur award-winning Vitality health insurance – With its own set of rewards and benefitsLife 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! xxuwjjq

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 selfGive you flexibility on how, where and when you workHelp you advance your career by playing you to your strengthsGive you a voice to help our business grow and make Vitality a great place to beGive you the space to try, fail and learnProvide a healthy balance of challenge and supportRecognise and reward you with a competitive salary and amazing benefitsBe there for you when you need usProvide 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.