Lloyd's Logo

Lloyd's

Data Scientist (Insurance)

Posted 2 Days Ago
Be an Early Applicant
London, England
Mid level
London, England
Mid level
The Data Scientist (Insurance) will deliver analytics and insights to enhance risk oversight and market performance. Responsibilities include developing methodologies for performance assessments, leading analytical projects, improving data quality, and managing automation processes while collaborating with cross-functional teams.
The summary above was generated by AI

Lloyd’s is the world’s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market’s brightest minds, working together for a braver world. 

 

Our role is to inspire courage, so tomorrow’s progress isn’t limited by today’s risks.  

 

Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that’s more sustainable, resilient and inclusive, you’ll find a home at Lloyd’s – build a braver future with us. 

Lloyd’s are seeking to recruit a Data Scientist (Insurance) to deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.

Principal Accountabilities

Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools and controls that allow Lloyd’s to efficiently and effectively oversee the market.

Lead analytical and data related projects that help manage the performance of the Lloyd’s market.

Develop new methods for understanding performance to enable better forward-looking assessments.

Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd’s taking into account risk vs reward and the Market’s strategic direction.

Drive increased insight of Lloyd’s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd’s Model Portfolio.

Help Portfolio Analytics to become to go to place for data and analytics in Markets

Act as data subject matter expert for the market data returns used by Underwriting to assess performance.

Lead on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.

Manage and lead the automation of quarterly BAU processes:

Risk Based Oversight – which analyses performance trends by class of business

Underwriting Risk Appetite reporting which monitors whole market performance.

MI for Markets Executives

Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital and Data.

Skills Knowledge and Experience

Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages such as R and Python

Data manipulation and analysis in R and or Python

Building visualisation tools such as Qliksense, Tableau and/or Power BI

Understanding of analytical methods and up to date knowledge of data science

Solid insurance knowledge including Lloyd’s, London Market & International Markets

Engagement with senior stakeholders and managing expectations

Driving change, building models, introducing controls, improving processes, implementing systems, encouraging adoption and working cross functionally

Established analytical and quantitative capabilities; programming and data modelling skills

Ability to problem solve and identify and implement process improvements

Time management and communication skills to effectively field competing priorities

Diversity and inclusion are a focus for us – Lloyd’s aim is to build a diverse, inclusive environment that reflects the global markets we work in.  One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website. 

 

We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility.  Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc).  These include financial support for training, education & development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.  

By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems. 

Should you require any additional support with your application, or any adjustments, please click the following link;

https://cleartalents.com/apply/lloyds-msa1645695881

Please note, clicking on this link does not register your application for the vacancy

Top Skills

Power BI
Python
Qliksense
R
Tableau
HQ

Lloyd's London, England Office

One Lime Street, London, United Kingdom, EC3M 7HA

Similar Jobs

2 Days Ago
Bristol, England, GBR
Mid level
Mid level
Consulting
The Data Science Consultant will apply advanced analytical techniques and mathematical modeling to support data-driven decision-making within government agencies and security sectors. Responsibilities include conducting analyses, developing models, and collaborating with clients to address complex challenges using machine learning and data science tools.
5 Hours Ago
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Data Scientist will analyze and visualize financial and operational data, build predictive models, and leverage machine learning to support strategic decision-making. They'll work with finance and product teams to enhance operational efficiency and provide insights that drive business performance.
5 Hours Ago
London, Greater London, England, GBR
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Senior Data Analyst - SEO Content at Wise will analyze SEO data to enhance web presence and organic search performance. Responsibilities include tracking SEO growth, optimizing data tools, improving keyword tracking, leveraging web scraping, and collaborating with teams to set and monitor objectives.

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account