At a Glance
- Tasks: Shape pricing strategies and influence business outcomes through data science.
- Company: Tech-driven insurance firm prioritising data and analytics.
- Benefits: Competitive salary, comprehensive benefits, and hybrid working model.
- Other info: Dynamic environment with excellent growth opportunities for high-performing data scientists.
- Why this job: Make a real impact on pricing decisions and drive business success.
- Qualifications: Masters in STEM, strong Python skills, and experience in predictive modelling.
The predicted salary is between 100000 - 130000 £ per year.
This is an opportunity to step into a highly influential data science role within a business where analytics sits at the heart of commercial decision making. You will work on complex, high-impact pricing problems, have clear ownership of your work, and see your models directly shape business outcomes.
The Company
They are a technology-led organisation operating in the insurance space, known for their strong investment in data, analytics and engineering. The business is well funded, ambitious, and sets high standards for analytical thinking and technical quality. Data scientists are viewed as strategic partners, not service providers, and are encouraged to challenge, innovate and drive measurable impact.
The Role
- Deliver data science within a pricing-focused environment, influencing rates, tariffs and overall market competitiveness.
- Design, build and refine predictive models to better understand risk, customer behaviour and price sensitivity.
- Identify and integrate new data sources to improve pricing accuracy and decision making.
- Use simulation and modelling techniques to estimate outcomes such as claim frequency and customer responses to price changes.
- Translate complex analysis into clear, commercially focused recommendations for senior stakeholders.
Your Skills & Experience
- A strong academic background and Masters degree in a STEM discipline such as mathematics or physics.
- Advanced analytical and problem-solving skills, with the ability to articulate business impact clearly.
- Strong experience using Python for data analysis and modelling.
- Experience building and applying predictive models in a commercial context.
- Comfortable working in a fast-paced environment with a high level of ownership and accountability.
What They Offer
- Salary between £100,000 and £130,000 plus a comprehensive benefits package.
- Hybrid working with a minimum of one day per week in the London office.
- Exposure to high-value, business-critical projects with real visibility and influence.
- A strong culture of learning, development and progression for high-performing data scientists.
Pricing Data Scientist - Shape Rates & Strategy (Hybrid) employer: Harnham
Join a forward-thinking technology-led organisation in the insurance sector, where data science is integral to shaping strategic decisions. With a strong emphasis on employee development and a culture that values innovation, you will have the opportunity to work on impactful projects that directly influence business outcomes. Enjoy a competitive salary, a comprehensive benefits package, and the flexibility of hybrid working, all while being part of a team that encourages growth and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Data Scientist - Shape Rates & Strategy (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in similar roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data science projects, especially those related to pricing models. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding predictive modelling techniques. Be ready to discuss how your work can impact business decisions directly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pricing Data Scientist - Shape Rates & Strategy (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong academic background and experience with Python. We want to see how your analytical skills can tackle those complex pricing problems, so don’t hold back!
Be Clear and Concise:When you’re translating your analysis into recommendations, keep it straightforward. We love clarity, especially when it comes to making an impact on business decisions. Show us you can communicate effectively!
Tailor Your Application:Don’t just send a generic CV and cover letter. We’re looking for candidates who understand our business and the role. Make sure to tailor your application to reflect how you can influence rates and market competitiveness.
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’re considered for this exciting opportunity in our data-driven environment!
How to prepare for a job interview at Harnham
✨Know Your Numbers
Brush up on your data analysis skills, especially with Python. Be ready to discuss specific projects where you've built predictive models and how they impacted business decisions. This will show that you can translate complex data into actionable insights.
✨Understand the Business
Familiarise yourself with the insurance industry and the company's position within it. Research their pricing strategies and recent market trends. This knowledge will help you articulate how your skills can directly influence rates and competitiveness.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world pricing problems during the interview. Practice explaining your thought process clearly and concisely. Use examples from your past experiences to demonstrate your analytical thinking and problem-solving abilities.
✨Showcase Your Communication Skills
Since you'll be translating complex analyses for senior stakeholders, practice summarising your work in a way that's easy to understand. Highlight your ability to make data-driven recommendations that align with business goals, showcasing your strategic partnership mindset.
