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Data Scientist at Vitality

Data Scientist

Vitality London, Greater London Full-Time
£Competitive Benefits Bonus
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Vitality, Data Scientist, London or Remote, £Competitive Bonus Benefits

We’re the UK insurer and investment provider that rewards people for positive lifestyle choices. With 1.25m UK members and more than 25m globally, we’re out to make the world a healthier, happier place.

That applies as much to our people as it does to our members. So, as well as a highly competitive pay package, you’ll enjoy complimentary breakfasts; regular onsite physical and mental wellness workshops; on-site health checks; annual flu jabs, and access to our full range of partners and rewards.

It’s what we call offering shared value, because a healthy, happy team is good for us, good for our members, and good for you.

As our Data Scientist, you’ll get the benefits our members enjoy, including:

- Our award-winning private Vitality Health insurance wellness incentive programme

- Access to The Vitality Programme – Apple Watch, Waitrose and Partners, Garmin, Amazon Prime, Champneys Spa days, Rakuten TV and half-price gym memberships to name a few!

- Personal health fund Life Assurance

- Stakeholder Pension Plan with employer contribution

- 25 days annual leave Bank holidays option to buy and sell 5 more

- Flexible benefits package

- Internal incentives, competitions, and awards – a chance to win football and sports tickets or even be in with a chance to have a holiday of a lifetime

- A genuine opportunity to grow and establish a long-term career

As our Data Scientist, you will be working on innovative AI applications across Vitality’s business, including health and wellness management, marketing, sales, retention, customer service, and engagement, using data mining and machine learning techniques.

You will enjoy working with rich datasets, cutting edge technology, advance machine learning techniques, see your models used in real business applications and help shape new projects in an innovative company that helps people live healthier lives.

Responsibilities of our Data Scientist include:

- Developing and implementing advance predictive models and optimization algorithms

- Producing analytical work that is customer-focused (product design, health and wellness modelling, cross- and up-sell identification, churn, and engagement modelling) and business-focused (pricing, underwriting, fraud, profitability, and lifetime value modelling)

- Discovering trends, patterns and stories told by the data and presenting them to stakeholders

- Leveraging new open data sources and extracting further value from existing company data

- Producing creative data visualizations and intuitive graphics to present complex analytics

- Leveraging state-of-the-art data mining and machine learning algorithms to drive business value

- Communicating analysis, findings and recommendations to various stakeholders and senior executives

Skills and experience of our ideal Data Scientist:


- Undergraduate degree in a numerical subject

- Strong knowledge of Microsoft Office tools

- Experience accessing and analysing data using language/tools/databases such as Python, R, SQL, etc.

- Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms

- Experience working as a data science or quantitative/statistical analyst

- Practical experience of building and implementing machine learning models to solve business problems


- Masters or other advanced degree in Computer Science, Maths, Physics, Engineering, Statistics, or other technical fields

- Previous insurance or financial services industry experience

Closing Date: Friday 5th February 2021

Working for Vitality, you'll experience an exciting mix of creativity and innovation, within a framework of challenging objectives and a passion for delivering the best.

Our people are chosen for their skills, knowledge, enthusiasm, and attitude but above all, their belief that anything can be achieved.

If you feel you have the skills and experience to become our Data Scientist, then please click ‘apply’ today.


Recommended skills

Data Science
Random Forest
Data Visualization
Mathematical Optimization
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