Data Scientist

Data Scientist London, England

Munich Re Specialty Group
Full Time London, England 41500 - 65000 GBP ANNUAL Today
Job description

Data Scientist

Company
Munich Re Specialty Group
Location
London , United Kingdom

At Munich Re Specialty Group (MRSG), individuality and intellectual curiosity is a key driver for our success and innovation. We believe that leveraging a variety of perspectives and backgrounds, and empowering all employees to make an impact, will motivate us to perform at our best and give us a competitive edge. We know there is always more work to be done, but we’re committed to building a strong and inclusive culture where everyone is welcomed and valued for their own expression of self-identity.


About us

MRSG is part of the Munich RE group. We are known for our dedication to excellence and quality of service provision across both primary and reinsurance lines of business.


As well as operating in the Lloyd’s of London market, we conduct our business via a global network of service companies, with offices located in the UK, Ireland, the United States, and Asia, including Singapore, Labuan and Dubai.


Our group of companies provide solutions covering Casualty, Speciality, Marine & Cargo, Green Solutions, Aerospace, Cyber, Political Violence, Trade Credit and Property, Contingency and Yacht. Our purpose is to inspire our clients and people with the confidence and freedom to explore, create and build – to enable people and businesses to thrive.


We are looking to employ a Data Scientist to be based in London and to work with us on a full time basis.


If you’d like to work within an energetic, fun and collaborative team atmosphere where you can make a difference, we’d love to hear from you.


The Role

We are seeking an experienced data scientist to join our P&C insurance team. As a data scientist, you will be responsible for analysing large data sets to identify trends, patterns, and insights that can be used to drive better decision-making across the organisation.

You will collaborate closely with other members of the P&C insurance team to develop models that help us to better understand and manage risks, as well as improve customer experience.


Responsibilities

  • Collect, organize, and analyse large data sets from various sources to derive insights that will inform business decisions.
  • Collaborate with underwriting, claims, and product development teams to identify areas where data-driven insights can improve their operations.
  • Build predictive models that can help identify risk factors and improve underwriting accuracy, working closely with actuarial colleagues.
  • Develop machine learning algorithms that can be used to detect fraudulent claims.
  • Work with the IT team to ensure that data is stored and analysed securely.
  • Develop dashboards and reports that clearly communicate insights to stakeholders from across the business.
  • Stay up-to-date with industry trends, hot topics and emerging technologies that could impact the P&C insurance industry.
  • Help drive forward good Conduct for the business to deliver the best outcomes for customers / policyholders.


What we are looking for

We are keen to speak to candidates with at least 3 years of experience in a data science or similar role, preferably within the P&C insurance industry or a similar financial environment.


Key Skills & Experience

  • Strong knowledge of data analysis techniques, including statistical analysis and machine learning.
  • Experience working with large data sets and advanced data analysis tools (such as SQL, R, Python).
  • Experience developing predictive models and machine learning algorithms.
  • Strong communication skills and the ability to explain complex data concepts to non-technical stakeholders.
  • Experience working with cloud computing and big data technologies (such as AWS, Hadoop, Spark) is a plus.


Qualifications

University Degree and/or relevant professional qualification in a quantitative field such as computer science, statistics, mathematics, or economics. A Master's degree is preferred.


Your career with us

At MRSG, you’ll find the flexibility, development and support you need to excel your career combined with a competitive salary and a benefits package that promotes wellbeing and work-life balance, on top of the standard features that include a non-contributory pension, private medical care, life assurance and more!


Diversity & Inclusion

Creating an inclusive environment is a crucial part of the Munich Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all.


Working together, we are an employer of choice by building the workforce for today and the future.
We make it happen. Together.

Apply now!

Data Scientist
Munich Re Specialty Group

www.munichre.com/en.html
Princeton, United States
Unknown / Non-Applicable
Unknown
Company - Public
Related Jobs

All Related Listed jobs

Receptionist
Ramsay Health Care Sawbridgeworth, England 20444 GBP ANNUAL Today

Wellbeing centre and access to 24/7 employee assistance line. Confident communication skills on all levels, via telephone, email and in person.

registered nurse
NHS North Hykeham, England 42618 - 35392 GBP ANNUAL Today

An exciting opportunity is available for an experienced and enthusiastic registered Band 6 Mental Health Pathway Nurse/ Mental Health Nurse to join...

Cleaning Operative
Royal Mail Group Nantwich, England Today

Naturally friendly, with good written and verbal communication skills, youll be able to communicate with customers and managers whilst complying with Health &

Barista
Hove station cafe Hove, England 10 GBP HOURLY Today

We would love to have a barista who will greet the customers answer their questions take orders and accept payments prepar and serve food.

Data Scientist
Gambling Commission Birmingham, England 45000 GBP ANNUAL Today

26 days holiday, rising to 29 days after 2 years service, with the option to buy up to five days extra annual leave. Experience using Microsoft Power BI.