Data Scientist

Company Description

Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!

We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do.

Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future.

Job Description

We are looking for a Data Scientist to join our forward-thinking Data team.

In this position, your responsibility will be to contribute to the company's expansion by incorporating innovative data resources and sophisticated modeling techniques to elevate profitability. You will work across the full data science lifecycle – from generating ideas, through building and deploying models, to measuring impact using A/B testing.

You will gain hands-on experience with leading technology, modern architecture, and the latest applications of machine learning and generative AI in production.

What you’ll do:

Work closely with stakeholders across the business to understand and propose improvements to existing process using new data sources and advanced machine learning techniques.
Deliver projects end-to-end from scoping/R&D through to production deployment and benefit measurement.
Following and contributing to our standards for code quality, R&D, and model development practices.
Collaborate with DevOps and Data Engineers to productionise and deploy machine-learning models into our AWS cloud infrastructure.
Write production-grade code in Python, demonstrating CI/CD, Databricks and ensuring appropriate test coverage.

Qualifications

What we’d love you to bring:

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 experience in a numerate subject: Machine Learning, Computer Science, Statistics.
Proven experience of applying, researching, and developing advanced 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, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git.
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
Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus.

Additional Information

What’s in it for you?:

Competitive salary that reflects your skills, experience and potential.
Discretionary bonus scheme that recognises your hard work and contributions to esure’s success.
25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday.
Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances.
Company funded private medical insurance for qualifying colleagues.
Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members.
We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources.
Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities.
Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues.
We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.
And much more; See a full overview of our benefits here