Data Scientist
- Working Hours: 35 hours per week
- Salary: Competitive
- Department: Data
Here at esure, we’re no strangers to change. As one of the industry leaders in the insurance business, striving to become a world class digital insurer, we’re getting ready for more. It’s creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.
esure Group are currently recruiting for a Data Scientist. You will play a key part in improving the profitability of our company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from initial concept, through to production deployment of models.
At esure Group we are continuing to build an outstanding environment for long-term ambitious research to thrive in. We are harnessing data science approaches to build end-to-end solutions which will help our business drive further value from data and build personalised experiences for our customers. We apply innovative machine learning techniques to solve a variety of problems such as customer risk, lifetime value and retail pricing across diverse product portfolios. The team is central to our growth strategy with great support from senior colleagues who are keen to drive a ‘start-up mentality’ for this function.
What you'll do:
- Apply statistical and sophisticated analytical techniques to optimise and improve business performance for specific business problems and use cases
- Build and maintain the algorithms required to drive value for customers. Research and development to continuously improve our services and products
- Provide regular support on data science projects – both large and small – that drives business benefit and gives us a competitive advantage
- Actively seek out new sources of data, making esure best in class in utilising the most expansive data sets available
- Work closely with DevOps and Data Engineers to productionise and deploy machine learning models
- Produce high-quality code that allows us to put solutions into production
- Refactor code into reusable libraries, APIs, and tools
What are we looking for?:
- Experience working as a Data Scientist with a passion for technology
- R/Python toolkits, preferably working with data pipelines
- Proficient with SQL and NoSQL databases
- Experience with Jupyter Notebooks and version control (eg. Git)
- Expert in mining large and sophisticated data sets - both structured and unstructured extraction of data, transformation and application
Desirable:
- Experience with Spark/Databricks
- Experience deploying ML at scale via APIs (eg. Flask, Keras) advantageous
Why choose us?
This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! And to top it off, here are some perks to life at esure…
- A competitive salary that recognises your skills and potential
- A bonus scheme that celebrates your contribution to esure’s success
- Discounts on our insurance products, for you and your family
- 25 days annual leave, plus 8 flex days to be taken as and when suits you
- Benefits just for you: our hub – My Benefits Box – is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
- Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech.
- Join our communities: our networks give you the chance to connect, learn and share with like-minded colleagues across the business – for work and play. So, it’s no surprise our people consistently rate ‘making friends at work’ one of the highest scorers in our colleague engagement survey
- More flexibility for you: we’re a proud supporter of the ABI’s Make Flexible Work campaign and welcome you to ask about the flexibility you need, whether it’s part time, job sharing, or compressed hours. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
- Live a healthy lifestyle: we offer lots of support, so you feel like the best version of yourself – like specialist advice through our employee assistance programme, wellbeing classes, access to the My Health Advantage app, our Big Team Challenge, and learning sessions on topics like menopause.
- A helping hand to do your bit for a greener and safer world: driving good in the world couldn’t be more important to us. That’s why we encourage colleagues to use volunteering days to support their local communities and have lots of initiatives to help you live a greener lifestyle.
- Everyday appreciation: praise from your colleagues means the world! Our social recognition tool makes it easy to give colleagues the praise they deserve, and you could even be shortlisted for a company-wide ACE Award.
We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.