At a Glance
- Tasks: Join our Data team to revolutionise insurance using innovative data resources and machine learning.
- Company: esure Group, a leader in digital innovation within the insurance industry.
- Benefits: Competitive salary, flexible benefits, private medical insurance, and generous annual leave.
- Why this job: Make a real impact by transforming customer experiences with cutting-edge technology.
- Qualifications: Experience in data science, machine learning, and proficiency in Python and SQL.
- Other info: Hybrid working model and opportunities for professional growth in an inclusive environment.
The predicted salary is between 28800 - 48000 Β£ per year.
Company Description
Ready to join a team that\βs leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good!
We\βve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas\β Wheels brands. With a bold dedication for digital innovation, we\βre 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\βre 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\βs expansion by incorporating innovative data resources and sophisticated modeling techniques to elevate profitability. You will work across the full data science lifecycle β 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\\\βll 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\\\βd 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\\\βs 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\\\βs 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\\\βll 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\\\βt 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\\\βre a proud supporter of the ABI\\\βs \\\βMake Flexible Work\\\β 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.
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Data Scientist employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist
β¨Tip Number 1
Network like a pro! Reach out to current employees at esure Group on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can give you an edge!
β¨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing machine learning techniques and coding in Python. We recommend doing mock interviews with friends or using online platforms to practice.
β¨Tip Number 3
Showcase your projects! If you've worked on any data science projects, be ready to discuss them in detail. Highlight how you used advanced statistical methods or machine learning to drive results. This will demonstrate your hands-on experience.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining the team at esure Group.
We think you need these skills to ace Data Scientist
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at esure. Keep it engaging and personal β we love to see your personality come through!
Showcase Your Projects: If you've got any cool projects or research that demonstrate your data science skills, make sure to include them. Whether it's a GitHub repo or a case study, we want to see your work in action and how it can drive value.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at esure Group
β¨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 and understanding.
β¨Showcase Your Coding Skills
Since the role requires writing production-grade code in Python, be prepared to demonstrate your coding abilities. Bring examples of your work, and if possible, walk through a piece of code that highlights your understanding of best practices like CI/CD and testing.
β¨Understand the Business Impact
It's crucial to connect your technical skills with business outcomes. Think about how your previous projects have driven commercial benefits or improved customer experiences. Be ready to share specific examples during the interview.
β¨Engage with Stakeholders
The role involves working closely with non-technical partners, so practice explaining complex concepts in simple terms. Prepare to discuss how you've successfully collaborated with different teams in the past to deliver impactful solutions.