At a Glance
- Tasks: Use Python to develop discount models and analyse pricing strategies.
- Company: Join a rapidly growing team in a dynamic analytics environment.
- Benefits: Negotiable salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
- Why this job: Make a real impact on pricing strategies and customer outcomes in a competitive market.
- Qualifications: Experience in pricing and discount modelling, with strong Python skills.
The predicted salary is between 30000 - 40000 € per year.
An exciting opportunity to join a rapidly growing team, in a role which offers significant chance to influence the pricing and discount approach. You’ll 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 competitor pricing data to support price and discount optimisation.
- Lead the development and enhancement of discount and pricing models that drive acquisition, retention and profitability.
- Support delivery of Consumer pricing strategy and initiatives across the Division.
- Lead the development of forecasting models and clearly explain weekly and annual variance versus forecast.
- Own data production for modelling activity, reconciling and validating datasets to ensure high-quality inputs.
- Build trusted, credible relationships with senior stakeholders, compliance and leadership teams.
- Explore new tools, software and techniques to improve data processing efficiency and modelling capability.
- Validate pricing model performance over time, ensuring models are deployed correctly and remain effective.
- Recommend and implement corrective actions where model performance deviates from expectations.
- Ensure pricing and discounting activity aligns with FCA regulatory guidance.
- Partner closely with other squads in the business and work with the Pricing, Finance, Marketing and Insights teams.
Skills required
- Strong experience in pricing, with specific knowledge and experience of discount modelling within either insurance, banking, financial or a similar industry.
- Proven experience leading discount modelling activity.
- Deep technical knowledge of pricing and analytical techniques.
- Experience using coding tools such as SQL, Snowflake or SAS.
- Experience with visualisation tools such as Power BI or Tableau.
- Strong experience with statistical modelling software.
If this sounds like the role for you then please apply today!
Modelling Analyst - Junior & Senior in Bristol employer: Datatech Analytics
Join a dynamic and rapidly growing team in Bristol, where your expertise as a Modelling Analyst will directly influence pricing strategies and drive significant business outcomes. We foster a collaborative work culture that values innovation and professional growth, offering opportunities to enhance your skills in statistical modelling and data analysis while working closely with senior stakeholders. With a hybrid work model and a commitment to employee development, this role provides a rewarding environment for those looking to make a meaningful impact in the field of pricing.
StudySmarter Expert Advice🤫
We think this is how you could land Modelling Analyst - Junior & Senior in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. The more connections you make, the better your chances of landing that Modelling Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any discount modelling work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss statistical modelling techniques and how you've applied them in real-world scenarios. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Modelling Analyst - Junior & Senior in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Modelling Analyst role. Highlight your experience with Python and any relevant discount modelling work you've done. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about pricing and how you can bring value to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Technical Skills:Since this role requires strong technical knowledge, don’t forget to showcase your experience with statistical modelling software and coding tools like SQL or Snowflake. We love seeing candidates who are confident in their technical abilities!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our rapidly growing team!
How to prepare for a job interview at Datatech Analytics
✨Know Your Modelling Techniques
Make sure you brush up on your statistical modelling techniques, especially those relevant to discount modelling. Be ready to discuss how you've used Python in past projects and how you can apply these skills to predict customer behaviour effectively.
✨Understand the Market
Familiarise yourself with current trends in pricing and discount strategies within the insurance or banking sectors. Being able to discuss competitor pricing data and how it influences your modelling approach will show that you're not just technically skilled but also market-savvy.
✨Build Relationships
Since this role involves working closely with stakeholders, think about how you can demonstrate your ability to build trusted relationships. Prepare examples of how you've collaborated with teams in the past and how you can bring that experience to the table.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Snowflake, or SAS, as well as visualisation tools like Power BI or Tableau. Practise explaining complex concepts in a simple way, as you'll need to communicate your insights clearly to non-technical stakeholders.
