At a Glance
- Tasks: Develop and optimise innovative pricing models using advanced data science techniques.
- Company: Dynamic company with a focus on retail pricing and analytics.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative environment for career advancement.
- Why this job: Join a team that values innovation and makes a real impact on pricing strategies.
- Qualifications: Degree in Statistics or Mathematics, experience in pricing roles, and strong analytical skills.
The predicted salary is between 50000 - 70000 £ per year.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Location: A large portion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local.
Role purpose: We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output.
Key Responsibilities:
- End to end production of pricing models using a tailor-made pricing pipeline
- Use of Earnix to build predictive statistical models and intelligently optimise customer prices
- Contribute and implement improvements to the pricing process to increase pricing performance and efficiency
- Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies
- Evaluate and utilise tools and data items created by the data science teams
- Ensure all activity is compliant with pricing governance and follows established controls
- Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
- Manage, mentor and coach more junior members of the team
About you:
- Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject
- Experience in a pricing or actuarial role within general insurance
- Experience with price optimisation tools (Earnix/Radar)
- Experience using and implementing advanced machine learning methods
- Able to communicate complicated statistical concepts to an informed but non-technical audience
- Experience with using software packages such as R or Python to solve problems
- Proven ability to deliver commercial value through pricing insight
- Proven ability to provide commercial uplift from research and development projects
- Strong people management skills
MEDICAL ELECTRONICS MANAGER employer: Vermelo
As a leading employer in the field of medical electronics, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a flexible remote working approach based in Peterborough, we offer exceptional growth opportunities, competitive benefits, and a commitment to professional development, ensuring that our team members can thrive both personally and professionally while contributing to meaningful advancements in healthcare technology.
StudySmarter Expert Advice🤫
We think this is how you could land MEDICAL ELECTRONICS MANAGER
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vermelo!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like MEDICAL ELECTRONICS MANAGER at Vermelo.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vermelo.
✨Apply Directly through Our Website
When you find a suitable opening like MEDICAL ELECTRONICS MANAGER at Vermelo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace MEDICAL ELECTRONICS MANAGER
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vermelo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vermelo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vermelo
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vermelo!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
