Junior Data Scientist

Social network you want to login/join with:

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 creating great new opportunities for innovative and talented industry professionals to join us at a pivotal point in our development.

Job Description

We have a great opportunity for a highly motivated individual to join our team. We currently have an outstanding Data Science department, which produces 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:

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

Qualifications

We strongly encourage anyone with the below to apply:

• 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.

Additional Information

Why choose us?

This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special! Here are some perks of 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 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 license, access to our exclusive Academies, regular career conversations, and expert partner resources from 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. Our people consistently rate ‘making friends at work’ highly in our engagement survey.
• More flexibility for you: we support flexible working arrangements, including part-time, job sharing, or compressed hours. Our hybrid approach also allows you to choose how and where you work best.
• Live a healthy lifestyle: we offer support through our employee assistance programme, wellbeing classes, health apps, and learning sessions on topics like menopause.
• A helping hand to contribute to a greener and safer world: volunteering days and sustainability initiatives are encouraged.
• Everyday appreciation: our social recognition tool makes it easy to praise colleagues, with opportunities to be recognized through awards like the ACE Award.

We understand some people may not apply unless they meet every requirement. If you are excited about joining us and believe you have some of what we’re looking for, even if you’re not 100% sure, we would love to hear from you.