Data Scientist

Introduction

As a Data Scientist you will take on a high impact role acting as a critical thinker for Hiscox. This role is ideal for a recent graduate who has undertaken a year in industry in a Data Analyst / Data Scientist position or for someone with 1-2 years experience in an analytical role.

The Data Scientist

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 end to end 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 cutting-edge 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 though 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 day-to-day underwriting.

Person Specification:

• Degree in a STEM or closely related field.
• 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.

Nice to have:

• Experience of data science in finance, insurance or Ecommerce is an advantage but not required.

Skills:

• Knowledge of insurance, especially Lloyd’s and/or property insurance is an advantage but not essential.

Rewards

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.

Other benefits include:

• Money towards gym membership.
• Christmas gift.
• 4 x life insurance.

About us

At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success.

As an international specialist insurer we are far removed from the world of mass insurance products, selectively focusing on 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.