Data Scientist



This job posting expired and applications are no longer accepted.
Esure
Published
15.06.2024
Location
Reigate, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE
  • esure Reigate (The Observatory), Reigate, Surrey, United Kingdom
  • Full-time
  • Working Hours: 35 hours per week
  • Salary: Competitive
  • Department: Data

Company Description

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.

Job Description

We have an excellent opportunity for a motivated and ambitious individual to join our join and work to improve the profitability of the 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 ideation through to production deployment of models as well as measuring benefit via A/B testing

What you'll do:

  • Collaborate with business partners to enhance processes using new data and sophisticated ML techniques.
  • Manage projects from inception to deployment, including benefit assessment.
  • Uphold and improve standards for code quality, R&D, and model development.
  • Collaborate with DevOps and Data Engineers to deploy ML models on AWS.
  • Provide mentorship to peers and partners on potential actions and impacts.
  • Develop Python code adhering to standard processes, CI/CD, and test coverage.

Qualifications

We strongly encourage anyone with the below to apply:

  • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
  • You thrive in working autonomously to drive impact in a fast-paced cross-functional business.
  • PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar
  • Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting,
  • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
  • Experienced in engaging with non-technical partners to scope, design and build an appropriate ML solution.
  • Proficient with Python data science stack
  • Knowledge of OO programming, software design, i.e., SOLID principles, and testing practices.
  • Knowledge and working experience of AGILE methodologies.
  • Proficient with SQL.
  • Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus.
  • Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc are desirable

We’ll help you gain…

  • Experience working in a high-performance environment where collaboration and business impact are BAU.
  • Experience in a wide breath of techniques covering NLP through to causal inference.
  • Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry.

Additional Information

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.

I'm interested

 

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.

 

APPLY HERE: Data Scientist

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