Associate Data Scientist in London

Associate Data Scientist in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)

At a Glance

  • Tasks: Develop and deliver AI solutions across the insurance value chain with a dynamic team.
  • Company: Join Vitality, a forward-thinking company that values innovation and collaboration.
  • 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 in AI while growing your skills in a supportive environment.
  • Qualifications: STEM degree, Python skills, and a passion for AI and emerging technologies.

The predicted salary is between 63000 - 77000 £ per year.

  • 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
  • Collaborate with data engineers, software engineers, architects and business stakeholders
  • Integrate AI applications with enterprise systems and cloud-based technologies
  • Optimise models and applications for performance, scalability and cost efficiency
  • Develop, test and maintain solutions using Python and modern AI frameworks
  • Research emerging AI technologies and apply relevant innovations to business use cases
  • Work closely with senior data scientists to support project delivery and professional development
  • Contribute to the continuous improvement of AI engineering standards and best practices
  • Support the deployment and monitoring of AI applications on Google Cloud Platform

What do you need to thrive?

  • STEM degree or equivalent foundation in data science
  • Demonstrable passion for AI and emerging technologies
  • Python programming capability
  • Understanding of machine learning principles and techniques
  • Exposure to Generative AI applications and tools
  • Collaborative approach with cross-functional teams
  • Willingness to learn from experienced data science professionals
  • Curiosity to explore new AI frameworks and innovations
  • Interest in cloud-based technologies and AI deployment
  • Commitment to continuous professional development and growth within AI engineering

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 successfulin 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.

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Associate Data Scientist in London employer: 慨正橡扯

At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Data Scientist in London

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 慨正橡扯!

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 慨正橡扯.

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 慨正橡扯.

Apply Directly through Our Website

When you find a suitable opening like Associate Data Scientist at 慨正橡扯, 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 in London

Python Development
Machine Learning Foundations
Generative AI Expertise
AI Application Development
Data Analysis
Collaboration with Cross-Functional Teams
Cloud-Based Technologies

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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯

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 慨正橡扯!

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.