At a Glance
- Tasks: Use data analytics to influence decisions and drive business innovation.
- Company: Join Hiscox, a forward-thinking insurer with a focus on diversity and inclusion.
- Benefits: Enjoy 25 days leave, bonuses, gym contributions, and a paid sabbatical every five years.
- Why this job: Make an impact with cutting-edge data science techniques in a dynamic environment.
- Qualifications: Experience or interest in data science, programming skills in R, Python, or SQL.
- Other info: Collaborative culture with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
At Hiscox we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success.
We embrace hybrid-working practices, balancing the ability to work remotely with the culture and energy we experience when we are faceâtoâface in our offices. Our focus on collaboration and crossâfunctional working is supported with virtual tools that minimise physical travel, hotâdesking neighbourhoods that create a physical sense of community and Team Charters that our teams coâcreate to set out how they'll work together.
This modern way of working has contributed to impressive employee engagement scores across Hiscox and means we're delivering even better solutions for our Hiscox Colleagues. As an international specialist insurer we are far removed from the world of mass market insurance products. Instead we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things.
We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions.
We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places. Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch.
As a Data Scientist you'll work as part of a wider technical team whose wide ranging efforts span multiple business functions. This is an ideal role for an individual who is passionate about the use of analytics to influence decisions and is keen to learn more about delivering value through the use of data.
Key Responsibilities:- Leveraging industry standards, 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 endâtoâend data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cuttingâedge machine learning or statistical modelling techniques to derive insights.
- Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organization.
- 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.
- Over the next 18 months you will be working with the Major Property team to accelerate the adoption of a variety of data science techniques to our dayâtoâday underwriting.
- Experience of data science, advanced analytics or a genuine interest to learn.
- Experience of data science / data analysis in a commercial capacity.
- 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: R, Python and SQL).
- Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
- Degree in a STEM or closely related field.
- Experience of data science in finance, insurance or Ecommerce is an advantage but not required.
- Knowledge of insurance, especially Lloyd's and/or property insurance is an advantage but not essential.
- On top of a competitive salary, we also offer a wide range of benefits.
- 25 days annual leave plus two Hiscox days.
- 4 week paid sabbatical after every 5 years of service.
- Company and personal performance related bonus.
- Contributory pension.
- Money towards gym membership.
- Christmas gift.
- 4 x life insurance.
Data Scientist - London employer: Candour Solutions
Contact Detail:
Candour Solutions Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist - London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Hiscox on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
â¨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your experience with R, Python, and SQL, and how you've used them to solve real business problems.
â¨Tip Number 3
Show your passion for analytics! During interviews, share specific examples of how you've leveraged data to influence decisions or drive innovation in previous roles.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people at Hiscox. Plus, it shows youâre genuinely interested in joining the team.
We think you need these skills to ace Data Scientist - London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Hiscox. Highlight your experience with data science, analytics, and any relevant tools like R, Python, or SQL. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the role.
Showcase Your Problem-Solving Skills: In your application, donât just list your skillsâshow us how you've used them to solve real-world problems. We love candidates who can think creatively and challenge the status quo, so share examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the Hiscox family!
How to prepare for a job interview at Candour Solutions
â¨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around predictive modelling and machine learning techniques. Be ready to discuss your experience with tools like R, Python, and SQL, as well as any projects you've worked on that showcase your analytical skills.
â¨Understand Hiscox's Culture
Familiarise yourself with Hiscox's commitment to diversity and collaboration. Think about how you can contribute to their inclusive culture and be prepared to share examples of how you've worked in teams or challenged the status quo in previous roles.
â¨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of specific examples where you've tackled complex business challenges using data-driven insights, and be ready to explain your thought process and the impact of your solutions.
â¨Show Your Passion for Learning
Hiscox values individuals who are eager to learn and grow. Be prepared to discuss how you stay updated with industry trends and new methodologies in data science. Share any courses, workshops, or personal projects that demonstrate your commitment to continuous improvement.