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.
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CORE SKILLS
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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HIRING DATA SCIENTISTS?Â
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.
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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?
HIRING DATA ENGINEERS?
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.
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
Customer Selections Analyst (12-month FTC)
Stratford-upon-Avon
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentStratford-upon-Avon, Warwickshire
To Apply for this Job Click Here
Customer Selections Analyst (12-month FTC)
Up to £50,000
Stratford-Upon-Avon (1 day a week in office)
This is an excellent opportunity for a Customer Selections and Analytics Consultant to combine technical expertise with commercial impact. You will play a key role in delivering customer targeting, campaign analysis, and actionable insights that influence marketing and customer engagement strategies.
THE COMPANY
They are a well-established organisation with a strong focus on customer engagement, data-driven decision making, and continuous improvement. Their analytics function works closely with a range of stakeholders to ensure customer communications are effective, compliant, and measurable. You will join a collaborative team where your expertise will directly contribute to business performance and strategic decision making.
THE ROLE
As a Customer Selections Analyst, you will join a data-driven team using SQL and analytics to deliver customer targeting, campaign insights, and measurable business impact.
Specifically, you can expect to be involved in the following:
- Developing and delivering customer selections using SQL, ensuring campaigns target the right audiences and meet business objectives.
- Analysing campaign performance and developing self-service dashboards to provide clear, actionable insights.
- Developing subject matter expertise across customer datasets, supporting data sourcing, analysis, and reporting activities.
- Partnering with stakeholders to understand requirements and deliver consultative, data-driven solutions.
- Presenting insights, recommendations, and findings to both technical and non-technical audiences.
- Supporting quality assurance processes, ensuring outputs are accurate, compliant, and aligned with best practices.
- Working closely with analytics and optimisation teams to continuously improve customer targeting and campaign effectiveness.
SKILLS AND EXPERIENCE
The successful Customer Selections Analyst will have the following skills and experience:
- Strong commercial experience using SQL for data extraction, manipulation, and analysis.
- Experience with data visualisation tools, ideally Power BI or similar platforms.
- Experience delivering analytics within a customer, marketing, or campaign-focused environment.
- Ability to engage and influence a wide range of stakeholders.
- Strong analytical and problem-solving skills, with the ability to generate actionable business insights.
- Excellent communication skills, with the ability to present findings to both technical and non-technical audiences.
- Experience working in a regulated or compliance-focused environment would be advantageous.
BENEFITS
The successful Customer Selections Analyst will receive the following benefits:
- Salary up to £50,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Customer Selections & Analytics Consultant
Stratford-upon-Avon
£45000 - £50000
+ Digital Analytics
PermanentStratford-upon-Avon, Warwickshire
To Apply for this Job Click Here
Customer Selections & Analytics Consultant
Stratford-upon-Avon | £45,000 to £50,000 + 17.5% Bonus | 12 Month FTC
This is a fantastic opportunity for a Customer Selections & Analytics Consultant to join a growing data function where customer targeting, campaign optimisation, and analytics play a critical role in business decision-making. You’ll have the chance to work across a variety of customer data projects while developing expertise in customer selections, campaign performance, and stakeholder engagement.
The Company
They are a well-established organisation with a strong focus on customer experience and data-driven decision making. The business continues to invest in its analytics capabilities, creating opportunities for data professionals to make a tangible impact across marketing and customer engagement initiatives.
You’ll join a collaborative team that works closely with a wide range of stakeholders, helping to improve campaign effectiveness through accurate targeting, insightful analysis, and robust reporting.
The Role
As a Customer Selections & Analytics Consultant, you will be responsible for delivering customer selections and providing insight into campaign performance.
Key responsibilities include:
- Building and delivering customer selections using SQL
- Translating campaign briefs into technical requirements and data solutions
- Working across multiple customer datasets to identify and target the right audiences
- Developing and maintaining campaign performance dashboards
- Analysing campaign results and test-and-learn activity to improve ROI
- Providing actionable insight to support customer targeting strategies
- Working closely with stakeholders to understand requirements and deliver business value
- Presenting data findings and recommendations to both technical and non-technical audiences
- Supporting data quality and quality assurance processes
- Collaborating with analytics teams to continually refine targeting approaches
Your Skills & Experience
- Strong commercial SQL experience
- Experience in customer selections, audience selections, campaign analytics, CRM analytics, or customer data environments
- Experience working with large and complex datasets
- Data visualisation experience, ideally using Power BI
- Strong stakeholder management and communication skills
- Ability to translate technical findings into clear business recommendations
- Experience delivering insight to support strategic decision-making
- Strong attention to detail and focus on data quality
- Experience within a regulated environment is beneficial but not essential
What They Offer
- £45,000 to £50,000 base salary
- 17.5% annual bonus, paid pro rata
- Hybrid working with one day per week in the Stratford-upon-Avon office
- Exposure to a wide range of customer analytics and campaign optimisation projects
- Opportunity to develop expertise in customer selections and marketing analytics
- Potential for further opportunities beyond the initial fixed-term contract
How to Apply
If you have strong SQL skills and experience in customer selections, audience targeting, or campaign analytics, please apply with your CV for immediate consideration.
To Apply for this Job Click Here
Senior Pricing Analyst
£45000 - £60000
+ Risk Analytics
PermanentWest Midlands
To Apply for this Job Click Here
Senior Pricing Analyst
West Midlands/London
45-60K
If you’re looking for a Senior Pricing Analyst role where your work has visible commercial impact and genuine ownership, this is an excellent opportunity to join a highly analytical business that continues to invest heavily in data, pricing, and technology. You’ll work on strategic pricing initiatives, partner with a range of stakeholders, and help shape pricing decisions across multiple insurance products.
The Company
They are a well-established, technology-driven organisation with a strong reputation for using data and analytics to drive business performance. Over recent years they have made significant investment in their pricing, analytics, and data science capabilities, creating an environment where analytical thinking is highly valued.
With ambitious growth plans and a collaborative culture, they offer the opportunity to work alongside experienced analysts, pricing specialists, and data professionals on business-critical projects. Their pricing function plays a central role in commercial strategy and decision-making.
The Role
- Developing pricing analysis and segmentation strategies across a range of products
- Evaluating portfolio performance and identifying opportunities for optimisation
- Delivering actionable insights to support commercial and strategic decisions
- Monitoring pricing performance and recommending improvements
- Leading or contributing to end-to-end analytical projects
- Working closely with stakeholders across pricing, product, underwriting, and analytics teams
- Supporting innovation within pricing and helping enhance analytical capabilities
- Mentoring and guiding junior analysts where appropriate
Your Skills & Experience
- Previous experience in pricing analytics, pricing strategy, or a related analytical function
- Strong commercial problem-solving and analytical skills
- Experience using Python or SQL
- Ability to communicate complex findings to non-technical stakeholders
- Experience managing projects from inception through to delivery
- Strong stakeholder management and relationship-building capabilities
- Curious, proactive, and motivated to drive improvements through data
- Insurance pricing experience is beneficial but not essential
What They Offer
- Annual bonus opportunity of up to 10%
- Matched pension contributions up to 10%
- Healthcare cash plan and additional medical benefits
- 25 days annual leave plus bank holidays
- Hybrid working model
- Ongoing training, development, and clear career progression opportunities
- Exposure to large-scale pricing and analytics projects within a growing function
To Apply for this Job Click Here
Senior Pricing Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You’ll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy.
The Company
They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills.
The Role
You will support the development and delivery of pricing strategies across a large customer portfolio.
Responsibilities include:
- Developing and refining pricing and customer segmentation models
- Analysing performance data to identify trends, risks, and opportunities
- Monitoring pricing performance and portfolio outcomes
- Producing analysis to support pricing decisions and business strategy
- Working with stakeholders across commercial, product, and analytics teams
- Presenting insights and recommendations to both technical and non-technical audiences
Your Skills & Experience
- SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role
- Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry
- Strong analytical and problem-solving skills
- Ability to communicate insights clearly to stakeholders
- Experience working with customer, product, or pricing data
What They Offer
- Salary up to £55,000
- Annual bonus
- Hybrid working
To Apply for this Job Click Here
Senior Pricing Analyst
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Pricing Analyst
London (Hybrid) | Up to £60,000
If you’re looking for a role where your analytical expertise can directly influence commercial performance, this is an excellent opportunity to join a highly data-driven organisation investing heavily in its pricing and analytics capabilities. You’ll work on complex pricing challenges, collaborate with senior stakeholders, and see the tangible impact of your work across the business.
The Company
They are a well-established consumer-focused organisation undergoing significant growth and transformation. Data, analytics, and innovation sit at the heart of their strategy, with substantial investment in pricing, technology, and decision-making capabilities. They foster a collaborative environment where new ideas are encouraged and analytical thinking is highly valued. This is an opportunity to join a team that is committed to continuous improvement and long-term development.
The Role
You will play a key role in developing and enhancing pricing strategies that drive business performance and support profitable growth.
Responsibilities include:
- Designing and improving pricing segmentation across customer groups and products
- Analysing portfolio and segment performance to identify commercial opportunities and emerging risks
- Building and maintaining monitoring frameworks to assess pricing effectiveness
- Delivering actionable insights and recommendations to support strategic decision-making
- Collaborating with underwriting, product, commercial, and data teams to optimise pricing performance
- Supporting testing, experimentation, and continuous enhancement of pricing methodologies
- Communicating complex analytical findings clearly to both technical and non-technical stakeholders
Your Skills & Experience
- Strong commercial experience in pricing, modelling, analytics, or quantitative analysis
- Understanding of pricing principles, segmentation methodologies, and performance monitoring
- Proficiency in analytical and data tools such as Python, SQL, R, or SAS
- Ability to interpret complex datasets and translate findings into business recommendations
- Strong stakeholder management and communication skills
- A proactive and inquisitive approach to problem-solving
- Experience working within a fast-paced, data-led environment
How to Apply
If you’re interested in this Senior Pricing Analyst opportunity, apply today to discuss how your experience aligns with the role and learn more about the next steps.
To Apply for this Job Click Here
Data Scientist
Manchester
£40000 - £55000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.
The Role
You will:
- Build, validate and deploy machine learning and statistical models
- Work with Python, SQL, Databricks and PySpark to analyse large datasets
- Solve pricing and risk-related business challenges
- Explore new data sources and test innovative ideas
- Own projects from problem definition through to implementation
- Present insights to technical and non-technical stakeholders
- Support and mentor junior Data Scientists
Your Skills & Experience
- Strong commercial Data Science experience
- Advanced Python and SQL skills
- Experience with Databricks and/or PySpark
- Knowledge of machine learning techniques such as XGBoost and LightGBM
- Strong statistical modelling capability
- Excellent problem-solving and stakeholder management skills
- Experience in insurance, financial services, or another regulated environment is advantageous
To Apply for this Job Click Here
Junior Data Engineer
London
£35000 - £45000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Junior Data Engineer
up to £45,000
4 days in London
This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.
THE COMPANY:
This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Data Engineer.
THE ROLE:
You will take ownership of designing, building, and scaling data platforms and pipelines that power critical business and customer-facing experiences.
Key responsibilities include:
- Building, maintaining, and optimising production data pipelines and workflows
- Contributing to new data platform initiatives, third-party data integrations, and infrastructure improvements
- Owning data solutions end-to-end with a high level of autonomy from day one
- Collaborating closely with Product, Commercial, Analytics, and Data Science teams
- Influencing data architecture decisions and helping shape the future direction of the data engineering function
This is a highly collaborative, high-impact environment with strong expectations and fast progression.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Excellent problem–solving ability and engineering fundamentals
- Strong academic background (with a preference for a STEM degree)
- Experience with Python, or similar languages
- Clear communication skills and a proactive, ownership-driven mindset
THE BENEFITS:
You will receive a salary up to £45,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
London
£65000 - £75000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London (Hybrid – 1 Day Per Week)
£60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits
THE COMPANY
We’re exclusively partnering with one of the UK’s leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team.
With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions.
THE ROLE
Joining a specialist team of six Data Scientists and Analysts, you’ll play a key role in developing the next generation of pricing models across car and van insurance.
Rather than maintaining existing models, you’ll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems.
Responsibilities include:
- Building predictive machine learning models using large, complex datasets
- Developing innovative pricing and customer selection models
- Creating footprint (geospatial) models using alternative data sources
- Developing residual models to improve claims prediction accuracy
- Exploring novel datasets to improve pricing performance
- Taking existing V1 models and evolving them into production-ready V2 solutions
- Working closely with Pricing, Data Science and Engineering teams
- Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery
YOUR SKILLS AND EXPERIENCE
- Strong Python and SQL experience
- Commercial Machine Learning experience
- Strong predictive modelling background
- Comfortable working with large, messy datasets
- Experience solving complex business problems using data
- Experience mentoring or supporting junior team members
- Exposure to model deployment is beneficial but not essential
- Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous
Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential.
THE BENEFITS
- Salary up to £75,000 (up to £80,000 for exceptional candidates)
- £5,000 annual car allowance
- 10% target bonus (up to 20%)
- Hybrid working (1 day per week in the office)
- Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed
- Private Medical Insurance
- 10% matched pension
- 27 days annual leave plus bank holidays
- Buy or sell up to 5 days annual leave
- Life Assurance and Income Protection
- Health & Wellbeing package
- Optional dental cover
- Discounts on company products
INTERVIEW PROCESS
- 30-minute introductory conversation with the Hiring Manager
- Take-home case study followed by a 20-minute presentation and technical discussion
- Final leadership and team-fit interview
HOW TO APPLY
Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.
To Apply for this Job Click Here
Digital Analyst – 12 month FTC
London
£45000 - £52000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Digital Analyst – 12 Month FTC
Up to £52,000 + benefits | London | Hybrid working
A leading UK organisation is looking for a Digital Analyst to join its Digital Analytics function on a 12-month fixed-term contract.
This is a genuine digital analytics role, rather than a pure tagging implementation position. You’ll work across web and app analytics, supporting product, marketing, acquisition and CRO teams with actionable insight and recommendations.
The Role
- Analyse website and app data to identify opportunities, issues and trends.
- Support product teams with insight that informs development roadmaps and optimisation.
- Work with Marketing and Acquisition teams to understand digital performance.
- Support CRO and experimentation, identifying opportunities to improve conversion.
- Investigate data and tagging issues and work with technical teams to resolve them.
- Support digital data collection and tagging implementations.
- Maintain and develop Google Analytics 4 and Google Tag Manager.
- Present findings and recommendations to a range of stakeholders.
- Contribute to the development of the organisation’s wider digital analytics capability.
About You
- Strong experience as a Digital Analyst / Web Analyst.
- Strong hands-on GA4 and GTM experience.
- Good understanding of tags, triggers, custom variables and data layers.
- Able to analyse digital data and turn it into clear, actionable recommendations.
- Strong stakeholder management and communication skills.
- Experience working with product, marketing, acquisition or CRO teams.
- App or product analytics experience would be advantageous.
- Looker / Looker Studio or Power BI experience is beneficial.
- SQL / BigQuery is a bonus but not essential.
You don’t need to be a specialist in every part of the Google ecosystem – they’re looking for a well-rounded Digital Analyst who can combine technical understanding with strong analytical and stakeholder skills.
Package
12-month FTC
Up to £52,000
London – hybrid working
Potential permanent opportunity
If you’re a Digital Analyst with strong GA4 and GTM experience and are looking for a role where you can work closely with product and marketing teams, this could be a great opportunity.
Find out more and apply via the link below!
To Apply for this Job Click Here
Junior Software Engineer
London
£30000 - £40000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Junior Software Engineer
up to £40,000
4 days in London
This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.
THE COMPANY:
This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Software Engineer.
THE ROLE:
You will take ownership of building and shipping customer-facing products.
Key responsibilities include:
- Building and launching production features
- Contributing to new product launches, partner integrations, and platform improvements
- Owning work end-to-end with a high level of autonomy from day one
- Collaborating closely with Product, Commercial, and Data teams
- Influencing technical decisions and helping shape engineering direction
This is a highly collaborative, high-impact environment with strong expectations and fast progression.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Excellent problem–solving ability and engineering fundamentals
- Strong academic background (with a preference for a STEM degree)
- Experience with JavaScript (Angular), Python, or similar languages
- Ability to work across full-stack environments and learn new technologies quickly
- Clear communication skills and a proactive, ownership-driven mindset
THE BENEFITS:
You will receive a salary up to £40,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Junior Data Engineer
London
£35000 - £45000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Junior Data Engineer
up to £45,000
4 days in London
This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.
THE COMPANY:
This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Data Engineer.
THE ROLE:
You will take ownership of designing, building, and scaling data platforms and pipelines that power critical business and customer-facing experiences.
Key responsibilities include:
- Building, maintaining, and optimising production data pipelines and workflows
- Contributing to new data platform initiatives, third-party data integrations, and infrastructure improvements
- Owning data solutions end-to-end with a high level of autonomy from day one
- Collaborating closely with Product, Commercial, Analytics, and Data Science teams
- Influencing data architecture decisions and helping shape the future direction of the data engineering function
This is a highly collaborative, high-impact environment with strong expectations and fast progression.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Excellent problem–solving ability and engineering fundamentals
- Strong academic background (with a preference for a STEM degree)
- Experience with Python, or similar languages
- Clear communication skills and a proactive, ownership-driven mindset
THE BENEFITS:
You will receive a salary up to £45,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Home Risk Pricing Manager
Leicester
£65000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
I’m hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science.
This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership, supporting the delivery of profitable growth across the home insurance portfolio.
The role
Reporting into the Senior Home Risk Pricing Manager, you’ll play a key role in shaping pricing strategy for the home insurance book.
This isn’t a pure modelling role. Instead, you’ll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability.
You’ll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy.
What you’ll be doing
- Lead and develop a small team of pricing analysts
- Analyse policy, quote, claims, market and risk data to identify pricing opportunities
- Develop and deliver pricing insights to improve profitability and growth
- Work closely with Data Science, Actuarial, Underwriting and Engineering teams
- Critically review pricing and risk models developed by actuaries and data scientists
- Translate model outputs into effective pricing strategies and actions
- Identify customer segments where pricing can be optimised
- Support peer reviews, coaching and mentoring across the team
What they’re looking for
Essential
- Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.)
- Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background
- Strong analytical and commercial mindset
- Experience working with pricing and risk models
- Strong stakeholder management and communication skills
- Python preferred (R also considered)
- SQL experience is beneficial
- Ability to turn analytical findings into pricing strategy and business outcomes
Nice to have
- Team leadership or mentoring experience
- Experience managing pricing portfolios
- Exposure to Home Insurance pricing specifically
Why join?
- Highly respected pricing and analytics function
- Opportunity to influence a major Home Insurance portfolio
- Strong blend of leadership and hands-on analytical work
- Flexible hybrid working
- Excellent benefits package
- Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists
Package
- £65,000-£80,000 (potential flexibility for exceptional candidates)
- £5,000 car allowance
- Annual bonus scheme
- Private medical insurance
- Matched pension up to 10%
- 27 days holiday + bank holidays
- Hybrid working
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FAQ:
What does a Data Analyst do in insurance?Â
- 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.Â
- 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.Â
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?Â
- 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. Â
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.Â
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.
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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:
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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.
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Enhances the improvement of loss prevention and mitigation on the periphery.
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Reduces costs usually by implementing short-term expense reductions.
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Utilizes data at a leisurely pace when it comes to enhancing service experiences.
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Employs data at a relaxed rate when improving service encounters.
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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.
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The principle that carrier and customer success are indistinguishable is fully endorsed by business and operating models.
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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).
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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.
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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.
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Pragmatic Evolution: Insurers adopting this approach orchestrate coverages, services, and support in response to changing customer requirements, offering a flexible and adaptable insurance experience.
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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.
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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.
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Explorations involving interconnected, multifaceted points of engagement, encompassing ecosystems and incorporated insurance.
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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.
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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.
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Ensuring customer retention involves simplifying policy renewal procedures and showing careful consideration regarding the mode and frequency of communication.
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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.
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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.
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Consequently, inclusion is effortlessly integrated into virtually any transaction's point of sale through collaborative alliances and interconnected systems.
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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.
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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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