Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London
Senior Data Scientist — AI & Personalisation Lead (Hybrid)

Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London

London Full-Time 60000 - 80000 £ / year (est.) No home office possible
Vitality

At a Glance

  • Tasks: Lead AI and machine-learning projects to enhance personalised health insurance solutions.
  • Company: Dynamic health and wellness company based in Greater London.
  • Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real difference in health insurance with cutting-edge AI technology.
  • Qualifications: 5+ years in data science, skilled in SQL and Python, strong communication skills.
  • Other info: Collaborative environment with a focus on innovation and teamwork.

The predicted salary is between 60000 - 80000 £ per year.

A health and wellness company in Greater London is seeking a Senior Data Scientist to lead AI and machine-learning projects. In this pivotal role, you will design, build, and deploy advanced machine learning solutions that enhance personalized health insurance offerings. The position offers a hybrid working pattern with significant collaboration across teams.

Ideal candidates have:

  • Over 5 years of experience in data science
  • Proficiency in SQL and Python
  • Effective communication skills, adept at engaging stakeholders

Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London employer: Vitality

Join a forward-thinking health and wellness company in Greater London, where innovation meets collaboration. As a Senior Data Scientist, you'll thrive in a dynamic work culture that values creativity and teamwork, while enjoying the flexibility of a hybrid working model. With ample opportunities for professional growth and development, this role not only allows you to make a meaningful impact on personalised health insurance but also positions you within a supportive environment that champions employee well-being and advancement.
Vitality

Contact Detail:

Vitality Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects and data science achievements. This is your chance to demonstrate your expertise in SQL and Python, so make it shine!

Tip Number 3

Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to engage stakeholders effectively. We want you to be confident and clear when discussing your ideas!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London

Machine Learning
AI Development
Data Science
SQL
Python
Stakeholder Engagement
Collaboration
Advanced Data Analysis
Problem-Solving Skills
Project Leadership
Personalisation Techniques
Communication Skills
Hybrid Working

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data science, especially with SQL and Python. We want to see how your skills align with the role of leading AI and machine-learning projects.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about health and wellness and how you can enhance our personalised offerings. Keep it engaging and relevant to the job.

Showcase Your Communication Skills: As effective communication is key in this role, make sure to demonstrate your ability to engage stakeholders in your application. Use clear language and examples that show how you've successfully collaborated in the past.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at Vitality

Know Your Data Science Stuff

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in AI and machine learning. This will show that you not only know your stuff but can also apply it in real-world scenarios.

Showcase Your Communication Skills

Since this role involves engaging with stakeholders, practice explaining complex data science concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences. This will demonstrate your ability to collaborate effectively across teams.

Prepare for Scenario-Based Questions

Expect questions that ask how you would approach specific challenges in personalisation and health insurance. Prepare a few case studies or examples from your past experience that highlight your problem-solving skills and innovative thinking in similar situations.

Research the Company Culture

Take some time to understand the health and wellness company's mission and values. Tailor your responses to align with their goals, especially around enhancing personalised health offerings. Showing that you resonate with their culture can set you apart from other candidates.

Senior Data Scientist — AI & Personalisation Lead (Hybrid) in London
Vitality
Location: London

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