At a Glance
- Tasks: Tackle complex challenges and shape data-driven decisions in a dynamic environment.
- Company: Join Hiscox, an award-winning team known for innovation in data science.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Collaborate with experts and contribute to pioneering projects in the insurance sector.
- Why this job: Make a real impact using analytics to influence business decisions.
- Qualifications: Degree in STEM, deep data science experience, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
You’ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market’s first AI-enhanced lead underwriting solution. This achievement reflects the team’s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
As a Data Scientist, you’ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis. This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You’ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
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.
- Degree in a STEM or closely related field or equivalent experience. A further 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.
- 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 target audience.
- Experience with analytical tools / programming languages and databases (for example: 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 communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
- Willingness to learn best practice in software development.
- Knowledge of insurance is an advantage but not essential.
Apply now for further information.
Senior Data Scientist employer: Hiscox
Hiscox is an exceptional employer, offering a dynamic and innovative work environment in London where Senior Data Scientists can thrive. With a strong focus on employee growth, collaboration, and cutting-edge technology, the company fosters a culture of continuous learning and impactful contributions to the insurance industry. Employees benefit from working alongside an award-winning team, engaging in pioneering projects that leverage data science to drive meaningful business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Hiscox on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and industry knowledge. Be ready to discuss how your experience aligns with the role of Senior Data Scientist and how you can contribute to their innovative projects.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Bring examples of past projects where you tackled complex challenges and made data-driven decisions that had a real impact on the business.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining the Hiscox team.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your relevant experience, especially in data science and analytics, and don’t forget to showcase any projects that demonstrate your problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your skills align with our mission at Hiscox. Be sure to mention any innovative approaches you've taken in past roles.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of tools and programming languages you’ve used, like Python or SQL, and any experience with machine learning techniques. This will help us understand your capabilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Hiscox!
How to prepare for a job interview at Hiscox
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in predictive modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills and the impact they had on decision-making.
✨Communicate Clearly
Since you'll be communicating with various stakeholders, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully conveyed analytical findings to non-technical audiences in the past.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical business challenges during the interview. Think through your approach to problem-solving and be ready to discuss how you would design a data solution for a given scenario.
✨Familiarise Yourself with Hiscox
Research Hiscox's data culture and recent innovations, like their collaboration with Google. Understanding their business model and how data science fits into it will help you demonstrate your enthusiasm and alignment with their goals.
