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For Companies At a Glance
- Tasks: Use data science to enhance pricing strategies and customer offerings.
- Company: Join an innovative car insurance company focused on affordable policies.
- Benefits: Enjoy a salary up to £65,000, remote work, and flexible hours.
- Why this job: Be part of a forward-thinking team making a real impact in the insurance industry.
- Qualifications: Strong Python and SQL skills, experience in pricing models, and insurance background required.
- Other info: This is a fully remote position with a focus on advanced analytics.
The predicted salary is between 52000 - 78000 £ per year.
This is an exciting opportunity for a Pricing Data Scientist to help identify and implement data-driven pricing changes improving the sophistication of this business's pricing.
THE COMPANY
This is a car insurance business who are using an innovative approach, by offering cheaper policies, for the less someone drives.
THE ROLE
- Utilising advanced analytics and machine learning to enhance customer acquisition, retention, and deliver personalised offerings.
- Partnering with cross-functional teams to ensure data strategies align with overall company goals.
- Developing and optimising predictive models to enhance pricing accuracy and maintain competitiveness.
- Continuously validating and monitoring models to ensure effectiveness in reducing loss ratios and boosting revenue.
- Implementing monitoring and alerting systems to track model performance and automate updates when necessary.
- Customising reports to meet the unique requirements of various users and teams.
YOUR SKILLS AND EXPERIENCES
- Strong experience with Python and SQL.
- Experience developing pricing models.
- Create predictive models using machine learning and data science techniques.
- Experience working in insurance.
- Excellent written and verbal communication skills.
THE BENEFITS
- A salary of up to £65,000.
- Remote working policy.
- Flexible hours policy.
HOW TO APPLY
Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.
Senior Pricing Data Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the insurance sector. Understanding how data-driven pricing changes are implemented can give you an edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on a small project or case study that showcases your ability to develop predictive models using these languages.
✨Tip Number 3
Network with professionals in the insurance industry, especially those who work with data science. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used machine learning to enhance pricing accuracy in previous roles. Being able to articulate your past successes will demonstrate your capability and fit for the position.
We think you need these skills to ace Senior Pricing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant pricing models you've developed. Emphasise your background in insurance and any machine learning projects you've worked on.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how it can impact pricing strategies. Mention specific examples of how you've used analytics to drive business decisions in the past.
Highlight Communication Skills: Since excellent communication skills are essential for this role, provide examples in your application of how you've effectively communicated complex data insights to non-technical stakeholders.
Showcase Continuous Learning: Mention any recent courses or certifications related to data science, machine learning, or pricing strategies. This demonstrates your commitment to staying updated in a rapidly evolving field.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SQL during the interview. Be prepared to discuss specific projects where you developed pricing models or used machine learning techniques, as this will demonstrate your technical expertise.
✨Understand the Insurance Industry
Familiarise yourself with the car insurance sector and its unique challenges. Being able to discuss how data-driven pricing can impact customer acquisition and retention will show that you understand the business context of your role.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to pricing strategies. Practising how you would approach these scenarios can help you articulate your thought process and analytical skills effectively.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex data concepts in simple terms. This will be crucial when discussing your findings with cross-functional teams or customising reports for various users.
