Insurance data
Recruitment

Insurance data Recruitment

INDUSTRY

OVERVIEW

The insurance industry is undergoing a data analytics revolution. As businesses increasingly rely on data-driven insights to drive decision-making, the demand for data analytics professionals who can provide risk management solutions within the insurance sector is surging.

In recent years, the realm of data and analytics has gained paramount importance, resulting in the emergence of specialized roles such as credit analysts, data scientists, data engineers, and analytics developers. One of the key challenges in Insurance Data Recruitment is identifying individuals with the right skill set to aid their company's risk management services. These positions necessitate expertise in programming languages, data modelling, statistical analysis, and knowledge of advanced data analytics techniques. All whilst working within the organisation's risk management framework, which varies from company to company.

Currently, there exists a notable scarcity of skilled data analytics professionals, rendering it challenging for insurance companies to identify the right talent to fill crucial roles. The demand for skilled professionals in Insurance Data Recruitment is expected to grow in the coming years as the insurance industry continues to evolve. Consequently, a competitive landscape has started to emerge, characterized by escalating salaries and benefits as organizations vie for qualified candidates.

Attracting and retaining top talent through insurance data recruitment insurance companies must cultivate a supportive and innovative workplace culture that nurtures growth, learning, and collaboration. Insurance Data Recruitment is a strategic imperative for these companies. By investing in the recruitment, training and development of their workforce, insurers can secure the retention of skilled professionals and maintain a competitive edge in the data analytics-driven insurance landscape. Contact one of our insurance data recruitment experts today to stay ahead in this evolving industry.

 

CORE SKILLS

  • Data Analysis: Data analysts in insurance need a strong grasp of data analysis techniques. This involves the ability to clean, preprocess, and transform raw data into a usable format. Analysts must also be skilled in exploratory data analysis to uncover patterns, correlations, and anomalies within insurance datasets. This skill is crucial for identifying key insights that can inform business decisions and risk assessment.

  • Statistical Analysis: Statistical analysis is at the core of insurance data analytics. Analysts must be proficient in statistical methods to assess risk, model claim frequencies and severities, and conduct actuarial analyses. This skill is essential for pricing insurance products accurately and for making underwriting decisions.

  • Data Visualization: Data analysts need to translate complex data findings into easily understandable visualizations. Proficiency in data visualization tools like Tableau or Power BI is essential. Clear and compelling visualizations help stakeholders, including underwriters and executives, comprehend data-driven insights and make informed decisions.

  • Programming Languages: Data analysts often work with programming languages like Python or R to manipulate and analyze data efficiently. These languages enable analysts to write custom scripts and algorithms for data transformation, statistical modeling, and machine learning applications. Python, in particular, is widely used in the insurance industry for data analytics.

  • Machine Learning: Machine learning is increasingly important in insurance data analytics. Analysts must have a foundational understanding of machine learning algorithms and techniques. These skills are used for tasks such as predicting insurance claims, identifying fraud, and optimizing customer segmentation.

  • Insurance Domain Knowledge: Understanding the insurance industry's nuances, including various insurance products (e.g., life, health, property, casualty), policy structures, and regulatory requirements, is critical. Domain knowledge allows data analysts to contextualize data and tailor their analyses to address specific insurance-related challenges.

  • Business Acumen: Data analysts should have a strong sense of the insurance business. They need to align their data analytics efforts with the company's strategic goals and objectives. This entails understanding the insurance market, competitive landscape, and customer needs.

  • Ethical Data Handling: Data privacy and ethical considerations are paramount when working with sensitive customer data in the insurance industry. Analysts must ensure compliance with data protection regulations and industry standards to maintain customer trust and legal integrity.

  • Team Collaboration: Effective communication and collaboration skills are essential. Data analysts often work in cross-functional teams alongside underwriters, actuaries, and IT professionals. The ability to communicate data findings clearly and collaborate on solutions is crucial for success.

  • Adaptability: The insurance industry, like many others, is continuously evolving. Data analysts should be adaptable and open to learning new data tools, technologies, and methodologies. Staying updated with industry trends and emerging data analytics techniques is important.

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Insurance Data Recruitment
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HIRING DATA SCIENTISTS? 

A data scientist's role in the insurance industry is multifaceted and essential for leveraging data to make informed decisions, optimize processes, and drive business growth.

To hire and retain the best Data Scientists, organisations should:

  • Provide competitive salary and benefits packages
  • Professional Growth Opportunities
  • Innovative Work Environment
  • Build a strong employer brand
  • Establish strategic partnerships with universities and research institutions.

 

UK Hiring Market:

In the competitive landscape of the UK insurance industry, the demand for skilled data scientists is steadily increasing. The UK's insurance sector is renowned for its innovative approach and reliance on data analytics to refine risk assessment and customer engagement. To attract top data science talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to technological advancements and data-driven decision-making.

US Hiring Market:

In the United States, there is a surging demand for data scientists in the insurance sector. Insurance companies, insurtech firms, and startups are heavily investing in data analytics to optimize underwriting processes, enhance customer experiences, and develop predictive models for risk management. To compete for data science talent in the US, insurance organizations must offer attractive compensation packages and highlight their involvement in cutting-edge data projects.

EU Hiring Market:

The European insurance market exhibits varying levels of demand for data scientists across different countries. Nations with a strong insurance presence, such as Germany, France, and Sweden, are experiencing a substantial need for data scientists proficient in insurance data analytics and regulatory compliance. Insurance companies in these regions should target local talent pools and emphasize their industry expertise to attract skilled data scientists.

Speak to one of our insurance data recruitment experts today to find a data scientist to suit all your needs!

HIRING RISK ANALYSTS?

In the insurance industry, a risk analyst plays a critical role in safeguarding the financial stability and sustainability of insurance operations. These professionals are tasked with meticulously assessing and managing a variety of risks that insurance companies encounter. This includes financial risk, operational risk, and market risk.

 

To hire and retain the best Risk Analysts, organisations should:

  • Professional Growth Opportunities
  • Innovative Work Environment
  • Build a strong employer brand
  • Establish strategic partnerships with universities and research institutions.
  • Provide competitive salary and benefits packages

 

UK Hiring Market:

In the competitive landscape of the UK insurance industry, the demand for skilled risk analysts is on the rise. The UK's insurance sector is known for its innovative approaches to risk management and data-driven decision-making. To attract top talent in risk analysis, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to technological advancements and advanced risk assessment methodologies.

US Hiring Market:

In the United States, there is a growing demand for risk analysts in the insurance sector. Insurance companies, insurtech firms, and startups are investing heavily in risk modeling, data analytics, and predictive analysis to enhance their underwriting processes and manage risks more effectively. To compete for top talent in risk analysis, insurance organizations in the US should offer attractive compensation packages and highlight their involvement in cutting-edge risk management initiatives.

EU Hiring Market:

The European insurance market presents varying levels of demand for risk analysts across different countries. Nations with a strong insurance presence, such as Germany, France, and Sweden, have a significant need for risk analysts proficient in insurance risk analysis and regulatory compliance. Insurance companies in these regions should focus on local talent pools and emphasize their industry expertise to attract skilled risk analysts who can navigate complex regulatory environments.

Need a risk analyst? Contact one of our Insurance data recruitment experts today!

HIRING DATA ENGINEERS?

 
Data engineers play a foundational role in managing and harnessing the immense volume of data critical to the industry's operations.
 
To hire and retain the best Data Engineers, organisations should:
 
  • Provide an innovative work environment
  • Build a strong employer brand 
  • Establish strategic partnerships with universities and research institutions
  • Provide competitive salary and benefits packages
  • Provide professional growth opportunities
 

UK Hiring Market:

In the competitive landscape of the UK insurance industry, the demand for skilled data engineers is growing rapidly. The UK's insurance sector relies heavily on data-driven processes for risk assessment, claims processing, and customer engagement. To attract top data engineering talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to technological advancements and data infrastructure development.

US Hiring Market:

In the United States, there is a significant demand for data engineers in the insurance sector. Insurance companies, insurtech startups, and established tech firms are investing heavily in data engineering to manage large volumes of data, build robust data pipelines, and support advanced analytics. To compete for data engineering talent in the US, insurance organizations should offer competitive compensation packages and showcase their involvement in cutting-edge data projects.

EU Hiring Market:

The European insurance market also demonstrates a need for data engineers, particularly in countries with strong insurance industry presence like Germany, France, and Sweden. These regions require data engineers proficient in insurance data architecture, data warehousing, and regulatory compliance. Insurance companies in these areas should focus on local talent pools and emphasize their industry expertise to attract skilled data engineers who can design and maintain data infrastructure to meet stringent regulatory requirements.

Need help securing data engineer talent? Speak to one of our insurance data recruitment specialists today

HIRING CREDIT ANALYSTS?

In the insurance industry, credit analysts play a pivotal role in assessing and managing the financial risks associated with policyholders and potential clients.

To hire and retain the best Credit Analysts, organisations should:

  • Provide competitive salary and benefits packages
  • Professional Growth Opportunities
  • Innovative Work Environment
  • Build a strong employer brand
  • Establish strategic partnerships with universities and research institutions.

 

UK Hiring Market:

In the competitive landscape of the UK insurance industry, the demand for skilled credit analysts is rising. The UK's insurance sector relies on prudent financial risk assessment and underwriting to ensure profitability and financial stability. To attract top credit analyst talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to financial soundness and risk management.

US Hiring Market:

In the United States, there is a growing demand for credit analysts in the insurance sector. Insurance companies, including carriers and reinsurers, are focused on effective risk assessment and pricing strategies. To compete for credit analyst talent in the US, insurance organizations should offer attractive compensation packages and highlight their involvement in dynamic financial risk management initiatives.

EU Hiring Market:

The European insurance market also requires skilled credit analysts, particularly in countries with strong insurance industry presence, such as Germany, France, and Sweden. These regions necessitate credit analysts proficient in assessing financial risks and compliance with regulatory standards. Insurance companies in these areas should focus on local talent pools and emphasize their industry expertise to attract credit analysts who can effectively evaluate financial risks and contribute to the company's financial stability and profitability.

If you're looking for a great Credit analyst, look no further. Our Insurance data recruitment specialists can help. Contact us today!

HIRING BUSINESS INTELLIGENCE ANALYSTS?

In the insurance industry, business intelligence (BI) analysts serve as the data maestros, orchestrating the management and utilization of vast datasets essential for informed decision-making. Their role is multifaceted, encompassing various critical responsibilities that collectively enhance the overall efficiency and effectiveness of insurance operations.

To hire and retain the best BI Analysts, organisations should:

  • Provide competitive salary and benefits packages
  • Professional Growth Opportunities
  • Innovative Work Environment
  • Build a strong employer brand
  • Establish strategic partnerships with universities and research institutions.

UK Hiring Market:

In the competitive landscape of the UK insurance industry, the demand for skilled BI analysts is on the rise. The UK's insurance sector relies heavily on data-driven insights for risk assessment, customer segmentation, and operational optimization. To attract top BI analyst talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to leveraging data for competitive advantage.

US Hiring Market:

In the United States, there is a growing demand for BI analysts in the insurance sector. Insurance companies, including carriers and brokers, are increasingly adopting BI solutions to gain insights into customer behaviour, claims processing efficiency, and market trends. To compete for BI analyst talent in the US, insurance organizations should offer attractive compensation packages and showcase their involvement in cutting-edge BI projects.

EU Hiring Market:

The European insurance market also presents opportunities for BI analysts, particularly in countries with strong insurance industry presence such as Germany, France, and Sweden. These regions require BI analysts proficient in data analytics and visualization to support data-driven decision-making and enhance operational efficiency. Insurance companies in these areas should focus on local talent pools and emphasize their industry expertise to attract BI analysts who can unlock valuable insights from data to drive business growth and competitiveness.

Need help to hire the right BI Analyst? Contact us today and choose from our diverse talent pool.

JOBS

LATEST Insurance Data
JOBS

Senior Data Analyst

London

£40000 - £50000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Senior Data Analyst

Up to £50,000

Hybrid – London

A great opportunity to join a fast-rising insurance business as a Senior Data Analyst

THE COMPANY

The business is a leading insurance provider in the digital insurance space specialising in the rental and home insurance space. What sets the business aside from other insurance companies is their goal of providing easy and simple to use products for customers. And you’ll be joining a fast-paced, rapidly growing business with 50 people in the company and over 100,000 customers they are growing by 30% each month and continuing their rapid rise.

As part of their rise, they are looking to expand their product offering hence are looking to hire a Senior Data Analyst to support their data, insights, and commercial growth.

THE ROLE AND RESPONSIBILTIES

  • Conducting experimental analysis, using our data to assess the impact od new product features, A/B tests or changes to the customer journey
  • Support with data analysis and insights on the businesses live cross-functional projects
  • Work with commercial team to understand the metrics being targeted at business level and designing new ways to improve visibility of them
  • Creating reports on stakeholders’ requests
  • Work with Data Engineering team to help improve data infrastructure and data platform
  • Understanding the business to identify areas of improvement through data, the interactions between areas of the business level and new ways to improve visibility of them

YOUR SKILLS AND EXPERIENCE

  • Strong expertise in SQL and Python
  • Proven track-record in customer and marketing analytics
  • Strong academic background – STEM degree is essential

THE BENEFITS

  • Up to £50,000 + benefits
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Customer Data Analyst

London

£30000 - £40000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Customer Data Analyst

Up to £40,000

Hybrid – London

A great opportunity to join a leading home insurance company as a Customer Data Analyst.

THE COMPANY

The business is one of the UK’s leading insurance companies and they specialise in providing home insurance, with the aim of providing protection to people underserved by the home insurance industry. From customers who want to build, buy, rent or renovate their homes and more can all be covered by the business’s insurance offering.

Joining the business as a Customer Data Analyst, you will help the team to enhance their data capabilities and improve the service offer to customers through optimising customer data and marketing campaign performance.

THE ROLE AND RESPONSIBILITIES

  • Collecting, cleaning and integrating data from various sources
  • Taking ownership of data quality, definitions and accuracy
  • Understanding trends, patterns and problem areas in data from a wide range of sources
  • Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
  • Evaluate, track key KPIs and provide insights into marketing, product and customer performance
  • Analysing and reporting on metrics
  • Creating clear and compelling data visualisations
  • Translating data-driven insights into actionable recommendations for stakeholders

YOUR SKILLS AND EXPERIENCE

  • Strong experience programming in SQL
  • Good stakeholder management experience
  • Background in marketing and customer analytics

THE BENEFITS

  • Up to £40,000 + bonuses
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Customer Data Analyst

London

£30000 - £40000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Customer Data Analyst

Up to £40,000

Hybrid – London

A great opportunity to join a leading home insurance company as a Customer Data Analyst.

THE COMPANY

The business is one of the UK’s leading insurance companies and they specialise in providing home insurance, with the aim of providing protection to people underserved by the home insurance industry. From customers who want to build, buy, rent or renovate their homes and more can all be covered by the business’s insurance offering.

Joining the business as a Customer Data Analyst, you will help the team to enhance their data capabilities and improve the service offer to customers through optimising customer data and marketing campaign performance.

THE ROLE AND RESPONSIBILITIES

  • Collecting, cleaning and integrating data from various sources
  • Taking ownership of data quality, definitions and accuracy
  • Understanding trends, patterns and problem areas in data from a wide range of sources
  • Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
  • Evaluate, track key KPIs and provide insights into marketing, product and customer performance
  • Analysing and reporting on metrics
  • Creating clear and compelling data visualisations
  • Translating data-driven insights into actionable recommendations for stakeholders

YOUR SKILLS AND EXPERIENCE

  • Strong experience programming in SQL
  • Good stakeholder management experience
  • Background in marketing and customer analytics

THE BENEFITS

  • Up to £40,000 + bonuses
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Customer Data Analyst

London

£30000 - £40000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Customer Data Analyst

Up to £40,000

Hybrid – London

A great opportunity to join a leading home insurance company as a Customer Data Analyst.

THE COMPANY

The business is one of the UK’s leading insurance companies and they specialise in providing home insurance, with the aim of providing protection to people underserved by the home insurance industry. From customers who want to build, buy, rent or renovate their homes and more can all be covered by the business’s insurance offering.

Joining the business as a Customer Data Analyst, you will help the team to enhance their data capabilities and improve the service offer to customers through optimising customer data and marketing campaign performance.

THE ROLE AND RESPONSIBILITIES

  • Collecting, cleaning and integrating data from various sources
  • Taking ownership of data quality, definitions and accuracy
  • Understanding trends, patterns and problem areas in data from a wide range of sources
  • Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
  • Evaluate, track key KPIs and provide insights into marketing, product and customer performance
  • Analysing and reporting on metrics
  • Creating clear and compelling data visualisations
  • Translating data-driven insights into actionable recommendations for stakeholders

YOUR SKILLS AND EXPERIENCE

  • Strong experience programming in SQL
  • Good stakeholder management experience
  • Background in marketing and customer analytics

THE BENEFITS

  • Up to £40,000 + bonuses
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Customer Data Analyst

London

£30000 - £40000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Customer Data Analyst

Up to £40,000

Hybrid – London

A great opportunity to join a leading home insurance company as a Customer Data Analyst.

THE COMPANY

The business is one of the UK’s leading insurance companies and they specialise in providing home insurance, with the aim of providing protection to people underserved by the home insurance industry. From customers who want to build, buy, rent or renovate their homes and more can all be covered by the business’s insurance offering.

Joining the business as a Customer Data Analyst, you will help the team to enhance their data capabilities and improve the service offer to customers through optimising customer data and marketing campaign performance.

THE ROLE AND RESPONSIBILITIES

  • Collecting, cleaning and integrating data from various sources
  • Taking ownership of data quality, definitions and accuracy
  • Understanding trends, patterns and problem areas in data from a wide range of sources
  • Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
  • Evaluate, track key KPIs and provide insights into marketing, product and customer performance
  • Analysing and reporting on metrics
  • Creating clear and compelling data visualisations
  • Translating data-driven insights into actionable recommendations for stakeholders

YOUR SKILLS AND EXPERIENCE

  • Strong experience programming in SQL
  • Good stakeholder management experience
  • Background in marketing and customer analytics

THE BENEFITS

  • Up to £40,000 + bonuses
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Senior Data Analyst

London

£40000 - £50000

+ Data & Technology

Permanent
London

To Apply for this Job Click Here

*THIS ROLE DOES NOT OFFER SPONSORSHIP TO WORK IN THE UK*

SENIOR DATA ANALYST

LONDON – HYBRID

£40,000 – £50,000.

The perfect opportunity for a Data Analyst to join a thriving data team for a fast growing digital insurance provider.

THE COMPANY

This company is a leading insurance provider in the digital insurance space, specializing in rental and home insurance markets. Our innovative approach leverages cutting-edge technology to deliver exceptional services and products to our customers.

THE ROLE

As a Senior Data Analyst, you will play a crucial part in driving data-driven decisions across the entire business, with a focus on understanding customer behaviour, optimizing pricing strategies, and addressing adhoc requests from various teams..

  • Analyse and interpret complex data sets to uncover insights and trends related to customer behaviour, pricing strategies, and business performance.
  • Develop complex SQL queries to extract and manipulate data from various sources.
  • Contribute to the development and optimization of data infrastructure and processes using the Google stack (GCP and BigQuery).
  • Create visually appealing and interactive dashboards to present insights and key performance metrics.

YOUR EXPERIENCE

If you are a BI Analyst or Data Analyst with strong reporting knowledge as well as good strategic capabilities, then this could be a dream opportunity.

Please apply if you have:

  • Bachelor’s degree from a Russell group university in Mathematics, Statistics, Computer Science, or a related field.
  • Proficiency in Tableau/Power BI for reporting and dashboard building as well as SQL/Python for data extraction, transformation, and querying.
  • Experience with the Google Cloud Platform (GCP) and BigQuery is highly desirable.
  • Excellent communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.

THE BENEFITS

A successful Senior Data Analyst will receive:

  • A salary of up to £50,000 per annum.
  • Opportunity to work within a fast-paced environment.
  • Hybrid working.

To Apply for this Job Click Here

Senior Data Analyst

London

£40000 - £50000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Senior Data Analyst

Up to £50,000

Hybrid – London

Senior Data Analyst

Up to £50,000

Hybrid – London

A great opportunity to join a fast-rising insurance business as a Senior Data Analyst

THE COMPANY

The business is a leading insurance provider in the digital insurance space specialising in the rental and home insurance space. What sets the business aside from other insurance companies is their goal of providing easy and simple to use products for customers. And you’ll be joining a fast-paced, rapidly growing business with 50 people in the company and over 100,000 customers they are growing by 30% each month and continuing their rapid rise.

As part of their rise, they are looking to expand their product offering hence are looking to hire a Senior Data Analyst to support their data, insights, and commercial growth.

THE ROLE AND RESPONSIBILTIES

  • Conducting experimental analysis, using our data to assess the impact od new product features, A/B tests or changes to the customer journey
  • Support with data analysis and insights on the businesses live cross-functional projects
  • Work with commercial team to understand the metrics being targeted at business level and designing new ways to improve visibility of them
  • Creating reports on stakeholders’ requests
  • Work with Data Engineering team to help improve data infrastructure and data platform
  • Understanding the business to identify areas of improvement through data, the interactions between areas of the business level and new ways to improve visibility of them

YOUR SKILLS AND EXPERIENCE

  • Strong expertise in SQL and Python
  • Proven track-record in customer and marketing analytics
  • Strong academic background – STEM degree is essential

THE BENEFITS

  • Up to £50,000 + benefits
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

THE COMPANY

The business is a leading insurance provider in the digital insurance space specialising in the rental and home insurance space. What sets the business aside from other insurance companies is their goal of providing easy and simple to use products for customers. And you’ll be joining a fast-paced, rapidly growing business with 50 people in the company and over 100,000 customers they are growing by 30% each month and continuing their rapid rise.

As part of their rise, they are looking to expand their product offering hence are looking to hire a Senior Data Analyst to support their data, insights, and commercial growth.

THE ROLE AND RESPONSIBILTIES

  • Conducting experimental analysis, using our data to assess the impact od new product features, A/B tests or changes to the customer journey
  • Support with data analysis and insights on the businesses live cross-functional projects
  • Work with commercial team to understand the metrics being targeted at business level and designing new ways to improve visibility of them
  • Creating reports on stakeholders’ requests
  • Work with Data Engineering team to help improve data infrastructure and data platform
  • Understanding the business to identify areas of improvement through data, the interactions between areas of the business level and new ways to improve visibility of them

YOUR SKILLS AND EXPERIENCE

  • Strong expertise in SQL and Python
  • Proven track-record in customer and marketing analytics
  • Strong academic background – STEM degree is essential

THE BENEFITS

  • Up to £50,000 + benefits
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Customer Data Analyst

London

£30000 - £40000

+ Marketing & Insight

Permanent
London

To Apply for this Job Click Here

Customer Data Analyst

Up to £40,000

Hybrid – London

A great opportunity to join a leading home insurance company as a Customer Data Analyst.

THE COMPANY

The business is one of the UK’s leading insurance companies and they specialise in providing home insurance, with the aim of providing protection to people underserved by the home insurance industry. From customers who want to build, buy, rent or renovate their homes and more can all be covered by the business’s insurance offering.

Joining the business as a Customer Data Analyst, you will help the team to enhance their data capabilities and improve the service offer to customers through optimising customer data and marketing campaign performance.

THE ROLE AND RESPONSIBILITIES

  • Collecting, cleaning and integrating data from various sources
  • Taking ownership of data quality, definitions and accuracy
  • Understanding trends, patterns and problem areas in data from a wide range of sources
  • Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
  • Evaluate, track key KPIs and provide insights into marketing, product and customer performance
  • Analysing and reporting on metrics
  • Creating clear and compelling data visualisations
  • Translating data-driven insights into actionable recommendations for stakeholders

YOUR SKILLS AND EXPERIENCE

  • Strong experience programming in SQL
  • Good stakeholder management experience
  • Background in marketing and customer analytics

THE BENEFITS

  • Up to £40,000 + bonuses
  • Hybrid
  • London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

Lead Data Engineer

London

£65000 - £75000

+ Data & Technology

Permanent
London

To Apply for this Job Click Here

*THIS ROLE DOES NOT OFFER SPONSORSHIP TO WORK IN THE UK*

LEAD DATA ENGINEER

LONDON – HYBRID

£65,000 – £75,000

The perfect opportunity for an experienced Data Engineer to get into a role within one of the largest travel insurance companies in Europe.

THE COMPANY

This company is one of Europe’s largest travel insurance companies, dedicated to providing comprehensive and reliable insurance solutions to travellers worldwide. With a strong focus on innovation and customer satisfaction, we are constantly seeking talented individuals to join our team and contribute to our success.

THE ROLE

As a senior member of the team, you will play a crucial role in leading our data engineering initiatives, leveraging your expertise to ensure the efficient management and utilization of our data assets.

  • Lead the design, development, and maintenance of data pipelines to support various business needs and analytical requirements.
  • Provide technical leadership and guidance to a team of data engineers, ensuring the successful delivery of projects and initiatives.
  • Optimize data processes and workflows to enhance efficiency, reliability, and performance.

YOUR EXPERIENCE

If you are an experienced Data Engineer with experience within the insurance sector and management/mentoring, then this could be a dream opportunity.

Please apply if you have:

  • Proven experience in the insurance industry, with a strong understanding of insurance data and business processes.
  • Proficiency in SQL, SSIS, Azure Data Factory, Azure Synapse, and PowerBI.
  • Proven ability to lead teams and junior staff.

THE BENEFITS

A successful Data Engineer will receive:

  • A salary of up to 75,000 per annum.
  • Opportunity to work with a globally recognized brand and industry leader.
  • Hybrid working.

To Apply for this Job Click Here

Chief Technical Officer

London

£120000 - £140000

+ Data & Technology

Permanent
London

To Apply for this Job Click Here

Job Title: Chief Technology Officer (CTO)

Location: Remote in the UK

Salary: £120,000-£140,000 + Equity + Benefits

About the Role:

We are currently working with an innovative tech-driven startup in search of a Chief Technology Officer (CTO) to spearhead their Data strategy and oversee the productionization of their LLM-based product. The CTO will lead a team of 3-4 contractors who have developed the product.

Company Overview:

This startup is at the forefront of technology, seeking a CTO to play a crucial role in advancing their Data strategy and technology stack.

Role Summary:

As the CTO, you will collaborate closely with the founders and tech team, establish the core Data Strategy, work with existing and new partners, ensure strong governance, security, and risk management, manage core tech budgets, and specify software architecture and platform strategy.

Skills and Experience:

Essential:

  • Leadership experience in technology teams, with a focus on Software and AI.
  • Expertise in software architecture and platform development.
  • Strong understanding of deploying a model in a sensitive customer environment.
  • Experience in negotiating and managing supplier relationships.
  • Exposure to Recommender systems, pricing, and competitor analysis.
  • Commercially driven with strong communication skills.

How to Apply:

If you are interested in this role, please send your CV to Cormac Fagan via the Apply link on this page.

To Apply for this Job Click Here

Lead développeur Python

Paris

€60000 - €70000

+ Data & Technology

Permanent
Paris, Île-de-France

To Apply for this Job Click Here

Lead Développeur Python
Minimum 4 ans d’expérience
Paris
3j TT
Up to 70K€

Nous recherchons pour une belle startup en pleine croissance dans le domaine de l’assurance un profil de lead développeur Python.

Responsabilités : En tant que Lead Développeur Python, vous serez responsable du développement back-end et assumerez des responsabilités de dev au sein de notre équipe technique. Vous aurez l’opportunité de contribuer au pipeline de traitement des données, aux chantiers de sécurité, ainsi qu’aux travaux de data science et machine learning.

Stack :

  • Architecture serverless hébergée chez AWS (Cloudfront, S3, API Gateway, Lambda, DynamoDB, SNS, SQS).
  • Langages et frameworks : vue.js (+ webpack et l’écosystème js habituel) pour le front et Python 3 pour le back.
  • Outils de déploiement : Docker, Serverless, Bitbucket pipeline ; Terraform pour l’infra.

Expérience préférée :

  • Au moins 4 ans d’expérience en tant que développeur(se) avec une spécialisation back-end.
  • Maîtrise de Python. Bonus si vous avez une expérience avec AWS et/ou en devops.
  • Responsabilités antérieures de dev au sein d’une équipe technique.
  • Attentif(ve) à la qualité du code, sans perdre de vue les impacts business et la vitesse d’exécution.

Niveau hiérarchique : Mid-level

Pourquoi nous rejoindre ?

  • Cadre de travail exceptionnel.
  • Environnement start-up avec l’appui d’un grand groupe.
  • Autonomie et variété dans le travail quotidien.
  • Possibilité de laisser votre marque et de grandir avec nous !
  • Prime individuelle + intéressement, avantages divers.

Si vous êtes motivé(e) et souhaitez participer à cette aventure, envoyez votre CV

To Apply for this Job Click Here

Pricing Modelling Specialist

£65000 - £75000

+ Risk Analytics

Permanent
West Midlands

To Apply for this Job Click Here

Pricing Modelling Specialist

West Midlands

Hybrid

Up to £75,000

Company:

I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a huge market presents across the UK with huge investment and planned growth across the EU over the next couple of years the company are continuously pushing boundaries to deliver unparalleled services to their clients within the industry

The Role:

  • Building pricing models, using statistical techniques and machine learning algorithms.
  • Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
  • Developing and implementing pricing strategies
  • Collaborating with external stakeholders to understand client objects for insurance
  • Utilizing your strong communication skills to present complex pricing concepts and strategies
  • Optimisation and testing pricing models to increase effectiveness for clients

Experience Required:

  • Experience in pricing analyitcs within the insurance industry.
  • Experience with Emblem, Radar, and/or Earnix
  • Experience with SQL and Python to extract, manipulate, and analyse large datasets.
  • Experience using Python building pricing models
  • Proven experience in building pricing models using statistical techniques and machine learning algorithms.
  • Excellent communication and interpersonal skills
  • Experience working with senior stakeholders and helping to implement pricing strategy

Benefits

Up to £75,000 + competitive benefits package

HOW TO APPLY

Please register your interest by sending your CV to Sean Tunley via

To Apply for this Job Click Here

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FAQ:

What does a Data Analyst do in insurance? 

  • A data analyst in the insurance industry plays a vital role in extracting meaningful insights from vast datasets to inform decision-making, improve operational efficiency, and manage risk effectively.

How much do insurance analysts make in the UK?

  • The average salary for an Insurance Analyst in the UK is £33,819 per year. However, Salaries may differ by location, with analysts in London typically earning higher incomes due to the city's higher cost of living.

What are the different types of insurance analysts?

There are several different types of insurance analysts who specialise in various areas.

  • Fraud Analysts: These analysts specialise in identifying and preventing fraudulent insurance claims. They do this through the use of data analysis and investigative techniques to detect suspicious activities.
  • Claims Analysts: This type of analyst will investigate claims made by policyholders. They verify the validity of the claims and assess the extent.
  • Actuarial Analyst: This type uses mathematical and statistical models to assess and predict risk. This helps insurance companies set rates & estimate future liabilities. 
  • Market Research Analysts: These Analysts study industry trends, customer behaviour & their competitors. All so that they can provide insights for their insurance companies. Which use them to identify new market opportunities & marketing strategies.
  • Risk Analysts: Asses and manage various types of risks that insurance companies face, this includes financial, operational & market risks. A big part of their responsibilities is developing risk mitigation strategies to safeguard the company's financial stability. 

What is an insurance analytics platform?

  • A risk management software solution, specially designed to help insurance companies leverage data analytics to improve their decision-making, manage risks more effectively and manage risks more efficiently. The data provides analysts with the insights they need to inform key stakeholders of potential threats to and opportunities for the business.

How big is the insurance analytics market?

  • As of 2022 & on a global scale, the insurance analytics market was valued at $11.71 Billion. It is expected to grow at a rate of 15.4% from 2023 through 2029. With an eventual value of $31.92 Billion.

How is data analytics transforming the insurance industry? 

  • The main aspect of data analytics that has proven to be game-changing is Cloud Computing. Cloud computing has and continues to improve the performance of analytics in real-time and in greater depth.  

Why do we need data analytics in the insurance industry?

  • With data analytics, an insurer enables itself to optimise every single aspect of its business using insights from data. This is known as data-driven decision-making. 

Industry Trends

In the world of insurance, stability has traditionally been the cornerstone, allowing for predictable risk assessment and steady growth. However, the once steadfast foundations of this industry are undergoing a profound transformation. Over the past few years, a series of short-term crises have shaken the very core of insurance. From a global pandemic to political unrest, supply chain disruptions, and extreme weather events, the landscape is evolving in ways unimaginable just two decades ago.

These short-term crises are not isolated incidents but rather symptomatic of larger, long-term trends. Previously, we referred to these trends as STEEP factors, encompassing Social, Technological, Economic, Environmental, and Political influences. Today, their impact is more pronounced than ever. Social instability, technological disruption, shifting demographics, and climate change are converging to create a fractured world. Insurers now face a daunting array of intensifying risks, both in terms of variety and frequency.

Consequently, these developments have brought about significant changes within the insurance industry itself. Let's explore some of these transformative shifts:

Market Evolution

The traditional insurance market is undergoing a seismic shift. The rise of digital channels and an expanded network of distribution points, including partnerships and embedded options, is disintermediating markets. This proliferation of policy options and easier access challenges the established dominance of carriers. Barriers to entry are diminishing, setting the stage for increased competition and innovation.

Operational Adaptation

Even before the pandemic, insurers were grappling with substantial changes across their operations. In multiple PwC CEO surveys, insurance leaders consistently identified disruption as their primary challenge. The pandemic further accelerated these changes, pushing the workforce and customer interactions into the virtual realm. This shift stressed various functions, including IT, HR, and sales, while upending many established assumptions and behaviours. The industry responded by experimenting with new approaches, but a sense of caution lingers as insurers remain vigilant for unforeseen challenges.

Technological Revolution

Insurers are striving to become tech-enabled, leveraging data from multiple sources to rapidly assess and price risk. Additionally, they aim to provide seamless customer experiences, offering information and insurance precisely when clients need it. Achieving this vision requires a flexible technological infrastructure and a strategic IT function. While progress is evident, most carriers still have a substantial distance to cover before becoming truly tech-enabled, as opposed to merely 'digital.'

Environmental and Social Responsibility

Environmental, Social, and Governance (ESG) considerations are now central to the insurance industry's continued relevance. Compliance with reporting requirements and maintaining a positive brand image are just the tip of the iceberg. Insurers are extending their responsibilities to help clients and society at large mitigate natural and human catastrophes, cybercrime, and other loss incidents. By doing so, they reduce claims, boost profitability, and ensure their long-term viability as carriers.

 

These proactive approaches not only reduce claims but also boost profitability and ensure carrier viability. As insurers grapple with these challenges, we anticipate four likely approaches:

 

Incremental Change: This aligns with the current and historical norm for most carriers. They adapt incrementally, often reactively, in response to STEEP developments. This approach involves modernizing certain key operational aspects, such as claims processing and customer service, albeit without a comprehensive vision for how cloud and digital transformation can enhance broader business and operations. Incremental change also includes defending or expanding market share, primarily by competing on price and refining loss mitigation and prevention measures. It often involves short-term cost-cutting and a slow adoption of data-driven service improvements. This approach may lack full funding and consistent C-suite support.

  • While it modernizes and enhances certain critical operational facets, such as claims processing, and customer service features like autopay and self-service options, it frequently falls short in adopting a comprehensive enterprise-wide perspective on how cloud and digital transformation can truly elevate the broader spectrum of business and operational functions
  • Safeguards its market position and bolsters its brand image among specific customer segments, usually by engaging in price-based competition.
  • Enhances the improvement of loss prevention and mitigation on the periphery.

  • Reduces costs usually by implementing short-term expense reductions.

  • Utilizes data at a leisurely pace when it comes to enhancing service experiences.

  • Employs data at a relaxed rate when improving service encounters.

     

 

The Customer-First Approach: Some insurers are restructuring their business and operating models to place the customer at the forefront. This entails aligning offerings and services with evolving customer needs over time. on the customer's needs. This entails fashioning personalized, all-encompassing insurance packages right at the moment of purchase, while seamlessly eliminating any friction by amalgamating service and support across our array of offerings.

  • The principle that carrier and customer success are indistinguishable is fully endorsed by business and operating models.

  • Encompasses a wide range of consumer and risk data sourced from sensors, telematics, and unstructured data to tailor coverage, offer a smooth service experience, mitigate risks, and earn the confidence of customers.

  • Provides user-friendly and educational AI-driven insurance and financial solutions for various stakeholders, including employers and their staff (group), enterprises (both commercial and personal lines), individual clients (across all coverage categories), and agents (across all business sectors).
  • Disseminates data from the mentioned applications and others both within the company and to pertinent collaborators in order to uphold a live grasp of customer requirements, actions, and risk assessments.

  • Aids policyholders and the community in proactively preventing losses by shifting from relying on probability-based risk management to adopting a deterministic approach. This, in turn, leads to a decrease in claim payments and an enhancement in overall profitability.

     

     
     

Pragmatic Evolution: Insurers adopting this approach orchestrate coverages, services, and support in response to changing customer requirements, offering a flexible and adaptable insurance experience.

  • Enhances the potential of cloud and digital advancements by reinventing the customer journey, establishing a beneficial cycle of support between technological empowerment, dissemination, and customer assistance.

  • Facilitates the process of transformation by optimizing crucial processes and mitigating risks in order to boost income, foster business creativity, encourage expansion, and enhance adaptability.

  • Explorations involving interconnected, multifaceted points of engagement, encompassing ecosystems and incorporated insurance.

  • Tailors insurance policies and offers convenient (self-)service through the utilization of consumer and market information to craft suitable, AI-informed options for specific customer groups.

  • To optimize the efficiency of AI from its inception and throughout its lifecycle, an automated framework is employed to gauge the effectiveness of AI bots.

  • Ensuring customer retention involves simplifying policy renewal procedures and showing careful consideration regarding the mode and frequency of communication.

     

     

Radical Reinvention: A few visionary insurers are creating unique business and operating models that redefine insurance and minimize risk. They aim to revolutionize the industry rather than merely adapt to change.

  • Partnerships play a crucial role in our strategic approach due to the reduced barriers to entry and the expanded array of consumer touchpoints, coverages, and coverage options. This requires us to move away from conventional business and operating models.

  • Consequently, inclusion is effortlessly integrated into virtually any transaction's point of sale through collaborative alliances and interconnected systems.

  • Utilizes cutting-edge artificial intelligence that functions discreetly, preemptively identifying the requirements of customers to the extent that it can adjust insurance policies appropriately with minimal or even no intervention from the purchaser.

  • Utilizes the information within its reach to collaborate closely with policyholders, communities, governmental, and private entities in order to proactively improve the factors contributing to and thwart the occurrence of natural disaster losses and cyberattacks.

     

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