Junior Data Scientist

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 commitment for digital innovation, we’re transforming the way the industry operates and putting customers at the heart of everything we do.

We have a great opportunity for a highly motivated individual to join our team. We currently have an outstanding Data Science department, who produce significant results across the business. We are now seeking a Junior Data Scientist to become part of this successful team. The successful individual will be highly ambitious, motivated, and eager to upskill while learning from the wider team. As a Junior member of the team, you will be supported as you lead all aspects of end to end projects from ideation through to production deployment, working on various models across Pricing, Fraud and Claims.

What you’ll do:

• Collaborate with business partners to improve processes using new data and sophisticated ML techniques.
• Manage projects from inception to deployment, including benefit assessment.
• Collaborate with DevOps and Data Engineers to deploy ML models on AWS.
• Develop Python code adhering to standard processes, CI/CD, and test coverage.

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 in 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.
• Ability to deliver projects on time, taking project briefs and refining them to strong results.
• Exposure to Python data science stack.
• Knowledge and working experience of AGILE methodologies.
• Proficient with SQL.
• Familiarity with Databricks, Spark and geospatial data/modelling are a plus.

Interview process:

• 15-minute conversation with Talent Team
• 30-minute interview with hiring manager
• You’ll be given 1 week to complete a Data Science task; then present this task back in a 2 hour final stage interview consisting of 1 hour of presenting and 1 hour of standard interview questions.

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.

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.