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- Tasks: Use Python to model discounts and predict customer behaviour in insurance pricing.
- Company: Join a leading insurance firm focused on innovation and market insight.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Great career progression in a supportive and collaborative environment.
- Why this job: Shape pricing strategies and make a real impact in a dynamic industry.
- Qualifications: Experience with Python and a passion for statistical modelling.
The predicted salary is between 50000 - 70000 £ per year.
Modelling Analyst (Junior) will be supporting trading performance, profitability and customer outcomes, and bringing real value to the business. We are recruiting for this role on both a junior and senior level, looking for individuals confident using Python and who have either worked in technical pricing before or are looking to become more experienced in this field. This role focuses specifically on discount modelling. Using the best-in-class discounting models and expert analysis, market insight and innovation. Working with stakeholders and pricing specialists, your work will directly shape and impact how the business prices and discounts compete in a highly regulated and competitive market. If you enjoy solving complex pricing challenges, leading modelling activity and seeing your insight drive real commercial outcomes, this role offers a highly visible and rewarding next step in your pricing career.
Duties
- Use statistical modelling techniques with Python to predict customer behaviour such as propensity to purchase, cancel or claim.
- Investigate new modelling approaches, data enrichment and techniques to improve model predictiveness.
- Analyse price trials and competition.
Lead Discount Modeller - Insurance Pricing employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Discount Modeller - Insurance Pricing
✨Tip Number 1
Network like a pro! Reach out to people in the insurance pricing field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your Python skills! If you’ve got any projects or examples of your work, make sure to highlight them in conversations. We want to see how you can apply your technical know-how to real-world problems.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on statistical modelling techniques and be ready to discuss how you’d approach discount modelling challenges. We’re all about showcasing your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace Lead Discount Modeller - Insurance Pricing
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially if you've tackled any technical pricing challenges before.
Be Specific About Your Experience: When detailing your previous roles, focus on specific examples that demonstrate your modelling expertise. We love seeing how you've contributed to trading performance and customer outcomes in your past positions.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the skills and experiences mentioned in the job description. Show us why you’re the perfect fit for the Lead Discount Modeller role!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Datatech
✨Know Your Python Inside Out
Since the role requires confidence in Python, make sure you brush up on your coding skills. Be prepared to discuss specific projects where you've used Python for statistical modelling, and maybe even solve a coding challenge during the interview.
✨Understand Discount Modelling
Familiarise yourself with discount modelling concepts and techniques. Be ready to explain how you would approach a discount modelling problem and share any relevant experiences or insights that demonstrate your understanding of pricing strategies.
✨Showcase Your Analytical Skills
Prepare to discuss how you've used data analysis to drive business decisions in the past. Think of examples where your analytical skills led to improved outcomes, especially in pricing or customer behaviour prediction.
✨Engage with Stakeholders
This role involves working closely with stakeholders, so be ready to talk about your experience collaborating with different teams. Highlight your communication skills and how you've successfully conveyed complex modelling results to non-technical audiences.