Lead Data ScientistJob Tenure:Full-time, permanentSalary:CompetitiveCompany 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 currently have a fantastic opportunity for a Lead Data Scientist to Improve company profitability by optimising pricing for Motor and Home products across all brands and channels. Leverage new predictive sources of data and advanced modeling techniques to improve competitiveness and expand underwriting capabilities.

Day to day tasks:

• Lead and develop a data science team to deliver value-adding projects.
• Foster team growth and prepare members for career advancement.
• Analyse company performance metrics to guide and interpret models.
• Shape the R&D strategy and modelling roadmap.
• Assist in acquiring vendor data and build business cases.
• Provide expert mentorship for ongoing and new pricing activities.
• Design experiments and multivariate testing for AI evaluation.
• Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers.
• Use statistical techniques to optimise business performance.
• Develop and maintain algorithms to improve customer value and services.
• Deliver data science projects that drive business benefits and competitive advantage.
• Conduct ad-hoc analysis to predict, measure, and interpret business trends.
• Mentor data scientists and promote best practices within the analytics community.
• Collaborate with DevOps and Data Engineers to deploy ML Models
• Set standards for R&D practices and lead meetings with partners.
• Refactor code into reusable libraries, APIs, and tools
• Help us to craft the next generation of our products

Qualifications

You Are a Good Fit If You Have:

• 4+ years as a Data Scientist in commercial or R&D environments.
• PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics).
• Experience applying statistical and machine learning models to real-world problems with measurable results.
• Leadership experience within a high-performing team, including mentorship and management readiness.
• Proven track record to take research from concept to business impact.
• Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases.
• Familiarity with Jupyter Notebooks and Git version control.
• Expertise in working with large, sophisticated datasets and extracting actionable insights.
• Project management experience with tight deadlines.
• Ability to work independently and take ownership of tasks.
• Experience working with cross-functional teams.
• Knowledge of innovative software practices (SCRUM/Agile, microservices, containerization like Docker/Kubernetes).

we'd also encourage you to apply if you possess:

• Experience with Spark/Databricks.
• Experience deploying ML models via APIs (e.g., Flask, Keras).
• Startup experience or familiarity with geospatial and financial data.

Additional Information

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. 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.