At a Glance
- Tasks: Solve complex problems and drive data-driven decisions in a fast-paced environment.
- Company: Join Hiscox, a leader in the insurance industry with a focus on innovation.
- Benefits: Permanent position with competitive salary and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on cutting-edge analytics techniques.
- Why this job: Make a real impact by shaping data culture and influencing business strategies.
- Qualifications: Degree in STEM or equivalent experience; strong data science skills required.
The predicted salary is between 60000 - 80000 £ per year.
Build a brilliant future with Hiscox. As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You’ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market. You’ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad-hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox’s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
Key Responsibilities
- Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
- Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights.
- Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
- Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value through the use of a range of analytics techniques.
Person Specification
- Degree in a STEM or closely related field or equivalent experience. Additional degree is a plus.
- Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
- Experience of data science in finance or insurance is an advantage but not required.
- Ability to conduct high quality research in a suitably timely manner, working independently and in small teams as required by the task.
- Familiarity with version control, agile working and other IT delivery tools is required.
Skills
- Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for the target audience.
- Experience with analytical tools, programming languages and databases (e.g., Python, R, SQL).
- Experience with large language models and prompting; GCP experience is a plus.
- Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
- A particular interest in natural language processing or machine vision.
- A strong grasp of foundational statistics is essential.
- Experience working both in small teams and independently on analytics projects.
- Strong verbal and written communication skills and effective presentation skills.
- Willingness to learn best practice in software development.
- Knowledge of insurance is an advantage but not essential.
Senior Data Scientist in London employer: Hiscox Underwriting Group Services Ltd (HUGS)
Hiscox is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Senior Data Scientist role in London. With a strong emphasis on employee growth, you will have the opportunity to collaborate with talented professionals, engage in cutting-edge projects, and contribute to a data-driven decision-making environment. The company values creativity and critical thinking, ensuring that your contributions directly impact the business while enjoying a supportive atmosphere that encourages continuous learning and development.
Contact Details:
Hiscox Underwriting Group Services Ltd (HUGS) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's predictive models or cool visualisations, having tangible examples of your work can really impress potential employers. Don't forget to share it on platforms like GitHub!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you tackle complex problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website. It shows you're genuinely interested in joining us at Hiscox and helps us keep track of your application more efficiently!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your relevant experience in data science, especially any work that showcases your problem-solving skills and ability to deliver business value.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex challenges in the past and how your innovative thinking has made an impact.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills! Mention your experience with programming languages like Python or R, and any familiarity with machine learning techniques. We want to see how you can contribute to our data culture.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Hiscox Underwriting Group Services Ltd (HUGS)
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially predictive modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, as well as the impact they had on business decisions.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex challenges you've tackled in previous roles. Highlight your critical thinking process and how you approached finding solutions, especially in a fast-paced environment like insurance or finance.
✨Communicate Like a Pro
Since communicating the value of your analytical solutions is key, practice explaining your findings in simple terms. Think about how you would present your insights to stakeholders who may not have a technical background.
✨Familiarise Yourself with Their Tools
Get to know the tools and technologies mentioned in the job description, like Python, R, SQL, and GCP. If you have experience with version control and agile methodologies, be prepared to discuss how you've used them in your work.
