At a Glance
- Tasks: Lead a data science team to optimise pricing and improve business performance.
- Company: Join esure Group, a leader in transforming the insurance industry with digital innovation.
- Benefits: Enjoy competitive salary, flexible working, and generous leave options, plus discounts on insurance products.
- Why this job: Be part of a mission-driven team that values innovation and personal growth while making a social impact.
- Qualifications: 4+ years in data science, leadership experience, and strong Python skills required.
- Other info: Hybrid working model and commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
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 are currently recruiting for a Lead Data Scientist to join our award winning, and innovative Data Science team. This is a phenomenal opportunity for someone 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.
What you’ll do:
- 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 develop arguments.
- Provide expert mentorship for ongoing and new pricing activities.
- Design experiments and multivariate testing for AI evaluation.
- Assess machine learning solutions for feasibility and operationalise 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 champion standard processes 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.
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.
The Interview Process (subject to change):
You’ll start with an introductory call with one of our Recruitment Partners. This is a ‘get to know you session’ and for you to explore the position in more detail.
- 1st stage: 30min conversation with our Head of AI and Data Science.
- 2nd stage: 2 hour interview; comprised on a technical presentation and conversation with DS team.
Additional Information
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.
Lead Data Scientist - Reigate employer: esure Group
Contact Detail:
esure Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Reigate
✨Tip Number 1
Familiarise yourself with esure Group's mission and values. Understanding their commitment to digital innovation and customer-centricity will help you align your responses during interviews, showcasing how your experience can contribute to their goals.
✨Tip Number 2
Prepare to discuss specific projects where you've applied machine learning and statistical models to real-world problems. Be ready to explain the impact of your work on business outcomes, as this will demonstrate your ability to translate data science into tangible results.
✨Tip Number 3
Highlight your leadership and mentorship experiences. Since the role involves leading a data science team, sharing examples of how you've developed others or managed projects will show that you're ready for this responsibility.
✨Tip Number 4
Brush up on your technical skills, especially in Python, SQL, and machine learning frameworks. Being able to discuss your proficiency and any relevant tools you've used will be crucial, especially during the technical presentation stage of the interview.
We think you need these skills to ace Lead Data Scientist - Reigate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any leadership roles or projects that demonstrate your ability to optimise pricing and improve business performance. Use specific examples that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can revolutionise the insurance industry. Mention your experience with statistical and machine learning models, and how you can contribute to esure Group's mission of digital innovation.
Showcase Your Technical Skills: Be sure to include your proficiency in Python, SQL, and any experience with tools like Jupyter Notebooks or Git. Highlight any projects where you've successfully deployed ML models or worked with large datasets, as this is crucial for the role.
Prepare for Interviews: Anticipate questions related to your leadership experience and technical expertise. Be ready to discuss specific projects where you've made a measurable impact, and think about how you would approach the challenges outlined in the job description.
How to prepare for a job interview at esure Group
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences and how you've helped team members grow. Share specific examples of how you've fostered collaboration and innovation in past roles.
✨Demonstrate Technical Proficiency
Make sure to highlight your expertise in Python, SQL, and machine learning models. Prepare to discuss specific projects where you've applied these skills to solve real-world problems. Being able to explain your thought process and the impact of your work will impress the interviewers.
✨Prepare for Technical Presentations
Since the interview includes a technical presentation, choose a relevant project that showcases your skills. Structure your presentation clearly, focusing on the problem, your approach, and the results. Practice delivering it confidently, as this will demonstrate your communication skills and technical knowledge.
✨Understand the Company’s Vision
Research esure Group's mission and recent digital transformation efforts. Be ready to discuss how your experience aligns with their goals of leveraging data-driven insights to enhance customer experiences. Showing that you understand their vision will help you stand out as a candidate who is genuinely interested in the role.