At a Glance
- Tasks: Join our Data team to innovate and elevate profitability through advanced data techniques.
- Company: esure Group, a leader in transforming the insurance industry with digital innovation.
- Benefits: Competitive salary, bonus scheme, flexible leave, and health perks.
- Why this job: Make a real impact in reshaping insurance while working with cutting-edge technology.
- Qualifications: Experience in data science, machine learning, and strong Python skills required.
- Other info: Enjoy a hybrid work environment and opportunities for career growth.
The predicted salary is between 28800 - 48000 £ per year.
Data Scientist Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description
Ready to join a team thats 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, were 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 DescriptionWe are looking for a Data Scientist to join our forward-thinking Data team.
In this position, your responsibility will be to contribute to the companys 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.
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.
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 Reward and benefits | Esure Group PLC
We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Data Scientist - Reigate employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Reigate
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at esure Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they’ve driven commercial benefits. We want to see your passion for data!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our mission to revolutionise insurance for good!
We think you need these skills to ace Data Scientist - Reigate
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and the insurance industry shine through. We want to see how your passion aligns with our mission to revolutionise insurance for good!
Tailor Your CV: Make sure to customise your CV to highlight relevant experience and skills that match the job description. We love seeing how your unique background can contribute to our forward-thinking Data team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to communicate your ideas effectively without unnecessary jargon.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at esure Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and statistical methods. Be ready to discuss how you've applied these techniques in real-world scenarios, as this will show your practical experience.
✨Understand the Company’s Mission
Familiarise yourself with esure Group's mission to revolutionise insurance. Think about how your skills can contribute to their goals, especially in leveraging data for customer-centric solutions. This shows you're not just looking for a job, but are genuinely interested in their vision.
✨Prepare for Technical Questions
Expect technical questions that may involve coding or problem-solving on the spot. Practice writing production-grade Python code and be prepared to explain your thought process. This will demonstrate your ability to deliver projects end-to-end, which is crucial for the role.
✨Showcase Your Collaboration Skills
Since the role involves working closely with stakeholders and cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve engaged with non-technical partners to drive projects forward.