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- Tasks: As a Senior Data Scientist, you'll optimise performance using data-driven techniques.
- Company: Join a leading insur-tech company revolutionising the home insurance industry.
- Benefits: Enjoy flexible working, private medical insurance, and an annual bonus scheme.
- Why this job: Be part of a fast-paced team that values innovation and data-driven decisions.
- Qualifications: Experience with Python and familiarity with aggregators and price comparison websites are essential.
- Other info: Free fruit and great coffee await you in the office!
The predicted salary is between 48000 - 64000 £ per year.
SENIOR DATA SCIENTIST UP TO £80,000 This company are a leader in the home insurance industry. They are an incredibly fast-paced data driven insur-tech using innovative techniques. Maintain a data-driven approach to optimise presence and performance. Experience with aggregators, and price comparison websites. Experience with Python is essential. Private medical insurance. Flexible working, mostly hybrid with 1 day a week in office. Annual discretionary bonus scheme. Pension contribution. Free fruit and really good coffee for the days you come into the office. Local and national retail discounts.
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in the insur-tech industry, especially around home insurance. Understanding how data science is applied in this sector will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Brush up on your Python skills, particularly in libraries commonly used for data analysis and machine learning, such as Pandas, NumPy, and Scikit-learn. Being able to discuss specific projects or applications of these tools can set you apart.
✨Tip Number 3
Network with professionals in the data science field, especially those working in insur-tech. Engaging in relevant online communities or attending industry meetups can provide valuable insights and connections that may lead to job opportunities.
✨Tip Number 4
Prepare to discuss your experience with aggregators and price comparison websites. Be ready to share examples of how you've used data to optimise performance in similar contexts, as this is a key aspect of the role.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote)
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Senior Data Scientist, especially in the context of the home insurance industry. Highlight your experience with data-driven approaches and innovative techniques in your application.
Showcase Python Proficiency: Since experience with Python is essential, make sure to detail your proficiency in this programming language. Include specific projects or examples where you've successfully used Python to solve complex problems.
Highlight Relevant Experience: Mention any experience you have with aggregators and price comparison websites. This will demonstrate your understanding of the industry and how your skills can contribute to the company's goals.
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the job description. Use keywords from the job listing and ensure that your documents clearly convey your suitability for the role, including your data-driven mindset and ability to optimise performance.
How to prepare for a job interview at Harnham
✨Showcase Your Python Skills
Since experience with Python is essential for this role, be prepared to discuss your proficiency in the language. Bring examples of projects you've worked on that highlight your coding skills and problem-solving abilities.
✨Understand the Insur-Tech Landscape
Familiarise yourself with the home insurance industry and the role of data science within it. Research the company's innovative techniques and how they leverage data to optimise performance, as this will demonstrate your genuine interest in their work.
✨Prepare for Technical Questions
Expect technical questions related to data science methodologies, algorithms, and tools. Brush up on your knowledge of aggregators and price comparison websites, as these are relevant to the company's operations.
✨Emphasise Flexibility and Teamwork
With a hybrid working model, it's important to convey your adaptability and ability to collaborate effectively in both remote and in-office settings. Share examples of how you've successfully worked in diverse teams or managed projects remotely.
