Lead Data Scientist - Dynamic Underwriting

Lead Data Scientist - Dynamic Underwriting

Product and Tech • Flexible remote • Old Street

We’re looking for a curious and articulate data scientist to join us in building highly explainable models that will improve the health and wellbeing of our users

About us:

YuLife is creating a new kind of insurance company. Our mission is to inspire people to live longer, happier and healthier lives. We provide life insurance to companies and drive employee wellbeing through meaningful, engaging and rewarding experiences inspired by our favourite games, apps and products.

We live by a simple principle and we strive to translate this to our designs: always seek the win-win in everything we do. This means we should always be giving more than we take with every interaction. Sounds good?

The journey so far:

What's happened over the last few years:

The 2021 mission is to reach 1 million lives!

Day to day responsibilities include, but are not limited to:

  • Research & development of algos, experiments and productionising new data products
  • Development of systems that help us harness the power of data available to us
  • Working as an integral part of our Data and Insurance squads to build new, non-traditional ways of understanding risk
  • Developing models that improve capital efficiency of life insurance products
  • Collaborating with our reinsurers to increase the amount we can give back to our customers
  • Building highly explainable mortality and morbidity risk models, alongside our actuaries, that encompass the wealth of data we have available to us
  • Working alongside engineering to build systems that are compliant with industry regulations
  • Work collaboratively with our engineering and product teams
  • Supervising, reviewing and challenging the work of our data scientists
  • Preparing presentations, reports, valuations and quarterly updates on the impact of your work
  • Drive the business forward using machine learning and statistical techniques
  • Sharing knowledge both within the business and in industry

The ideal candidate will have:

  • Experience working in commercially driven teams and organisations
  • Significant industry experience since or during the completion of your studies
  • PHD in relevant STEM related field with a strong mathematical and/or statistical component
  • Proven track record productionising effective algorithms
  • Experience teaching and mentoring data scientists
  • Machine learning for risk modelling, NLP and conversational AI
  • Understanding of the requirements and challenges to deploy machine learning models on cloud infrastructure
  • Strong technical writing skills

What you’ll get:

We like to give more than we take so here are some of our benefits:

  • A competitive base salary
  • Potential to earn share options
  • 6x salary life assurance policy
  • Income protection policy
  • Access to the YuLife app (which includes a tonne of well-being rewards, discounts and exclusive offers as well as access to Calm and Fiit)

  • Monthly wellbeing budget to “Be your Best Yu”
  • Contributions to working from home office equipment
  • Contributory pension - 3% of basic
  • 24 days of annual leave + 1 day to celebrate your birthday
  • Flexible and remote working arrangements (read more below)
  • A shiny MacBook Pro or whatever you need to do your best work
  • Cycle to work scheme
  • HIIT and Yoga sessions
  • Access to Learnerbly with a dedicated budget towards L&D through webinars, books, podcasts, journals and much more
  • More Happi - 2 professional coaching sessions every month

Find out more about our Hybrid Working policy.

Our values:

YuLife company culture:

Read what one of our key investors has to say about our culture ›