Insurance data
Recruitment

Insurance data Recruitment

OVERVIEW

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

 

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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DATA SCIENTISTS

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!

RISK ANALYSTS

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!

DATA ENGINEERS

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

CREDIT ANALYSTS

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!

BUSINESS INTELLIGENCE ANALYSTS

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.

CONTACT US
JOBS

LATEST Insurance Data
JOBS

Data Quality and Governance Analyst

Liverpool

£35000 - £38000

+ Data Management & Governance

Permanent
Liverpool, Merseyside

To Apply for this Job Click Here

Data Quality and Governace Analyst

Remote
£35,000 – £38,000 + Career Growth Opportunities

Are you a proactive Data Quality and Governance Analyst with a passion for data, BI, and stakeholder engagement? Do you thrive in translating technical insights into business impact? See below!

About the Team

Join a dynamic commercial data team for a charity supporting social causes.

Your Role & Responsibilities

  • Working with greenfield data to build governance frameworks and data quality practices
  • Support data validation
  • Write SQL queries to query databases, compare data pipelines, and support troubleshooting.
  • Oversee sprint processes (Azure DevOps / Jira preferred), lead team meetings, and retrospectives.
  • Document work in Confluence and support data governance efforts.
  • Ensure clear communication between technical teams and business stakeholders, translating complex data insights into actionable strategies.

What They are Looking For

  • 2+ years experience in industry (more experience is a plus!).
  • Strong SQL skills-you must be able to write queries independently.
  • Experience with BI tools (Power BI or similar).
  • Technical acumen-comfortable working with data, pipelines, and validation processes.
  • Excellent communication skills-can translate technical information into business terms.
  • Experience with Jira, Confluence, Azure DevOps is advantageous.

Interview Process

  • Competency test
  • Competency-based interview with Manager

To Apply for this Job Click Here

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Business and Quality Analyst

Liverpool

£35000 - £38000

+ Data Management & Governance

Permanent
Liverpool, Merseyside

To Apply for this Job Click Here

Business and Quality Analyst

Remote
£35,000 – £38,000 + Career Growth Opportunities

Are you a proactive Business Analyst / QA with a passion for data, BI, and stakeholder engagement? Do you thrive in translating technical insights into business impact? See below!

About the Team

Join a dynamic commercial data team for a leading Insurance Company. This team collaborate with commercial and marketing teams, product teams, and data developers to drive insightful decision-making. They are looking for a Business Analyst with experience with Data Quality checks to come into their team!

Your Role & Responsibilities

  • Act as the bridge between business stakeholders and developers-ensuring requirements are understood and met.
  • Support data validation as we transition from on-prem to Azure, reconciling legacy and new infrastructure.
  • Write SQL queries to query databases, compare data pipelines, and support troubleshooting.
  • Oversee sprint processes (Azure DevOps / Jira preferred), lead team meetings, and retrospectives.
  • Assist in the implementation of a self-serve BI tool (ThoughtSpot) and Power BI reporting.
  • Document work in Confluence and support data governance efforts.
  • Ensure clear communication between technical teams and business stakeholders, translating complex data insights into actionable strategies.

What They are Looking For

  • 1+ years experience in Business Analysis / QA (more experience is a plus!).
  • Strong SQL skills-you must be able to write queries independently.
  • Experience with BI tools (Power BI or similar).
  • Technical acumen-comfortable working with data, pipelines, and validation processes.
  • Excellent communication skills-can translate technical information into business terms.
  • Experience with Jira, Confluence, Azure DevOps is advantageous.

Interview Process

  • 30-minute interview with Manager
  • Competency-based interview with Manager and Commercial Data Manager

To Apply for this Job Click Here

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Senior Pricing Data Scientist

London

£65000 - £83000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR PRICING DATA SCIENTIST

£80,000

LONDON

Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.

THE COMPANY

This business are a lean and focused Insurtech who have a significant portion of the market. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with modelling at the core.

THE ROLE

You can expect to:

  • Develop cutting edge predictive models using Python and Machine Learning techniques
  • Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
  • Analyse large sets of customer data to drive insight and commercial performance
  • Share insight with the wider team and helping to improve profitability across the business on ad hoc project work

YOUR SKILLS AND EXPERIENCE:

  • At least 4 years prior experience within insurance
  • Good knowledge of Python is essential
  • Prior model development experience is essential – ideally conversion rate modelling
  • Strong communication skills and desire to learn is key

SALARY AND BENEFITS

  • Up to £80,000 base salary
  • Discretionary bonus scheme
  • Contributory pension scheme
  • Remote-based work model
  • 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

To Apply for this Job Click Here

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Senior Pricing Data Scientist

London

£65000 - £80000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR PRICING DATA SCIENTIST

COMPETITIVE SALARY UP TO £80,000

LONDON, HYBRID WORKING (1 DAY PER WEEK IN THE OFFICE)

In this growth role, you’ll be working in a talented team and leading the conversion rate and market modelling function within the team, working on scaling an already fast-growing InsurTech.

THE COMPANY

This InsurTech is a data-driven and innovative organisation that leverages its advanced modelling techniques to provide specialist insurance products. You’ll be working in a close-knit team and joining at the beginning of their expansion.

THE ROLE

  • Understand and analyse price elasticity and competitiveness in the market, implementing enhancements to models where required.
  • Lead the conversion rate model and market model development, working across end-to-end modelling
  • Utilise price comparison data to influence strategic decision-making and model inputs

YOUR SKILLS AND EXPERIENCE

  • Experience developing models in open-source software
  • Python proficiency
  • Home insurance experience is ideal
  • 4 years + experience in the insurance analytics space

THE BENEFITS

  • Competitive salary up to £80,000
  • Hybrid working (1 day in office per week)
  • Bonus scheme
  • Pension scheme
  • Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

To Apply for this Job Click Here

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Senior Pricing Portfolio Analyst

London

£50000 - £70000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR PRICING PORTFOLIO ANALYST

COMPETITIVE SALARY UP TO £70,000

LONDON, HYBRID (1 DAY PER WEEK IN OFFICE)

In this role, you’ll be working within a talented team and be focusing on delivering rate changes and wider pricing development/deployment. You’ll be able to liaise with various teams across the business and drive portfolio performance.

THE COMPANY

This company is an exciting InsurTech based in London, delivering innovative insurance solutions to a large number of customers across the UK. You’ll be working within a close-knit team and have the responsibility to drive real change.

THE ROLE

  • Development of new and existing tools to ensure robust management of the portfolio and underwriting performance
  • Identify and propose new opportunities to expand the company’s pricing footprint
  • Provide data-driven pricing reviews to assess the efficacy of rules and understand new trends
  • Introduce innovative approaches to pricing and portfolio management by continuously refining methodologies

YOUR SKILLS AND EXPERIENCE

  • Proficiency in R or Python, as well as proficiency in SAS/SQL
  • 3 years + of Personal Lines insurance analytics experience
  • 2nd line modelling experience
  • Experience working with Rate Changes

THE BENEFITS

  • Competitive salary up to £70,000
  • Hybrid working (1 day per week inthe office)
  • Bonus scheme
  • Pension scheme
  • Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page or send your CV directly

To Apply for this Job Click Here

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Senior Data Scientist

London

£70000 - £85000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR DATA SCIENTIST

UP TO £80,000

LONDON

This is an exciting opportunity to take ownership of the pricing models ensuring this business are offering the most competitive prices in the market.

THE COMPANY

This company are a leader in the home insurance industry. They are an incredibly fast-paced data driven insur-tech using innovative techniques. They have hundreds of thousands of customers and are rapidly growing.

THE ROLE

You will be doing the following daily:

  • Take ownership of pricing models, including conversion rate and market dynamics.
  • Evaluate how pricing changes influence customer demand across various segments and benchmark this business’s position relative to key competitors in the market.
  • Design and build models to support pricing and market strategies.
  • Create robust models that estimate, and monitor premiums listed on aggregator platforms, ensuring accurate representation and pricing effectiveness.
  • Identify new opportunities on the market and improve market positioning.
  • Play a key role in ensuring offerings are not only visible but also highly competitive on key aggregator platforms.
  • Maintain a data-driven approach to optimise presence and performance.

YOUR SKILLS AND EXPERIENCE

  • Previous pricing model development (conversion rate models/GBMs/GLMs)
  • Experience in retail insurance, ideally home.
  • Experience with aggregators, and price comparison websites.
  • Experience with Python is essential.
  • STEM background.
  • Strong communication skills.

THE BENEFITS

  • Up to £80,000.
  • Private medical insurance.
  • Flexible working, mostly hybrid with 1 day a week in office.
  • Annual discretionary bonus scheme.
  • Pension contribution.
  • Free fruit and really good coffee for the days you come into the office.
  • Local and national retail discounts.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

To Apply for this Job Click Here

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Business Analyst

London

£50000 - £55000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Business Analyst- Insurance

Up to £55k + Benefits

Mostly Remote- 2x month in London Office

Are you a skilled Project Manager and Business Analyst with experience in insurance and a knack for bridging the gap between tech and business?

THE COMPANY

Join a growing insurance provider on a mission to modernise it’s operations- you’ll play a key role in leading exciting projects, streamlining processes and helping to shape the way the business works.

ROLE

In this dual role, you’ll wear both hats: managing the successful delivery of insurance projects while digging deep into business processes and data. You’ll be the connector- working closely with both technical teams and business stakeholders to make sure everyone is aligned, and outcomes are delivered effectively.

SKILLS & EXPERIENCE:

  • 2-5 years’ experience as a business analyst
  • Experience within insurance industry
  • Strong understanding of business processes and project delivery within an insurance setting
  • Proven experience with bridging the gap between technical teams and business stakeholders
  • Hands-on experience with Radar pricing software
  • Experience managing projects from start to finish
  • Confident working with Agile or hybrid methodologies

BENEFITS

The successful candidate will receive a salary up to £55k + Benefits Package

JOB PROCESS

The interview process consists of up to three stages including a technical assessment

HOW TO APPLY

Please register your interest by sending your resume/CV to Chloe Pott via the Apply link on this page

To Apply for this Job Click Here

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Insight Analyst

Sheffield

£55000 - £80000

+ Advanced Analytics & Marketing Insights

Permanent
Sheffield, South Yorkshire

To Apply for this Job Click Here

Data Insight Analyst – Sheffield

About the Role:
We’re seeking a data-savvy and commercially minded analyst to join our Growth team. You’ll play a key role in driving revenue performance through deep customer insights, strategic analysis, and collaboration across marketing, product, and operations.

Key Responsibilities:

  • Develop and maintain customer segmentation models for both B2C and B2B audiences, using a mix of qualitative and quantitative inputs to identify high-value customer cohorts and unlock new growth opportunities.

  • Examine customer retention patterns and dealership engagement metrics, delivering actionable insights to the growth, product, and sales teams.

  • Partner with CRM and underwriting teams to elevate personalisation strategies, reduce customer churn, and improve customer lifetime value.

  • Collaborate with PR and social media teams to assess industry dynamics, financing trends, and consumer sentiment to surface untapped revenue streams.

  • Evaluate the effectiveness of online and offline marketing initiatives, recommend budget reallocations, and track key performance indicators like CAC, ROI, and LTV to enhance marketing ROI.

To Apply for this Job Click Here

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Senior BI Analyst

Birmingham

£40000 - £48000

+ Advanced Analytics & Marketing Insights

Permanent
West Midlands

To Apply for this Job Click Here

Principal Analyst
Hybrid (1x a week in West Midlands)
Up to £48,000

An incredible opportunity to join a global financial services company as a Principal Analyst.

THE COMPANY

A huge financial services company is seeking a Principal Analyst to drive strategic initiatives. If you’re passionate about using data to solve real business challenges and lead teams towards actionable insights, this role is for you!

THE ROLE

As a Principal Analyst, you will play a key role in mapping data from legacy systems to a new platform, while consolidating and cleaning data from various sources to deliver actionable insights. You will provide data-driven solutions to business challenges, ensuring data is compiled into a unified version of truth, and offer strategic recommendations to drive informed decision-making.

YOUR SKILLS AND EXPERIENCE

  • Strong SQL experience
  • ETL experience (ideally Azure)

THE BENEFITS

  • Up to £48,000

Please note, this role does not provide sponsorship.

HOW TO APPLY

Please register your interest by sending your CV to Rina Raka at Harnham via the Apply link on this page.

To Apply for this Job Click Here

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Senior Data Analyst

Coventry

£45000 - £48000

+ Advanced Analytics & Marketing Insights

Permanent
Coventry, West Midlands

To Apply for this Job Click Here

Senior Data Analyst – One day a week in Stratford Upon Avon

We are currently hiring for a Senior Data Analyst to join a forward-thinking insurance company undergoing a major data transformation!

The business is in the process of migrating from a legacy system to a new impact admin platform, and they’re looking for a sharp, collaborative analyst to drive this change forward.

Responsibilities:

  • Leading the migration of data from the legacy platform
  • Working closely with stakeholders to ensure accurate and efficient data collection
  • Helping the business build better data into the new system
  • Improving reporting processes and exploring ways to enhance data visibility
  • Using tools like Power BI, SQL, SSIS, ETL pipelines, and Azure Data Factory

To Apply for this Job Click Here

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Senior Pricing Analyst

London

£45000 - £50000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR PRICING ANALYST

UP TO £50,000

1 day a week in Greater London

This business seeks a Senior Pricing Analyst to work across optimising pricing strategies for their renewal portfolio. This role is critical is ensuring the business retains customers and maintains profitability.

THE COMPANY

This is a growing UK based insur-tech offering specialist travel insurance to those who may struggle with typical insurers, for reasons like ill health, and old age. This is a growth role, where you will be responsible for maximising the number of new channels the business earns through aggregator channels.

THE ROLE

You will be doing the following daily:

  • Develop and implement customised pricing strategies for renewal business to optimise customer retention while meeting profitability goals.
  • Analyse customer data and feedback to assess price sensitivity, loyalty drivers, and churn risks, integrating these insights into renewal pricing frameworks.
  • Stay up to date of competitor pricing and market trends to ensure renewal pricing remains competitive and industry-aligned.
  • Collaborate with the Customer Retention team to design targeted renewal offers, including loyalty incentives and promotional discounts.
  • Conduct A/B testing of pricing strategies to measure their effectiveness on renewal rates and customer satisfaction.
  • Apply statistical and machine learning tools to develop and refine renewal pricing models using platforms like Earnix, Akur8, Python, or R.
  • Create detailed reports and presentations for senior management, highlighting key trends, insights, and recommendations for pricing updates.
  • Build and maintain interactive dashboards in tools like Tableau to ensure continuous visibility into pricing performance.
  • Align renewal pricing strategies with overall risk appetite and product coverage goals in collaboration with cross-functional teams.
  • Work with Commercial and Marketing teams to effectively communicate pricing strategies and support retention campaigns.
  • Partner with Product teams to evaluate the impact of pricing changes on customer experience and product competitiveness.
  • Explore opportunities to streamline renewal pricing workflows through automation, AI, and advanced analytics for enhanced efficiency.

YOUR SKILLS AND EXPERIENCE

  • Degree in Mathematics, Statistics, Economics, Actuarial Science, or related STEM field.
  • 2+ years of experience in a pricing role within the insurance industry.
  • Experience working with renewal pricing/strategy is desirable.
  • Experience working with insurance products.
  • Proficiency in SAS, SQL, Python, or R.
  • Knowledge of predictive analytics, machine learning methods, and demand modelling.
  • Strong written and verbal communication skills.
  • Numerate degree from a Russel Group university.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • Up to £50,000.
  • Discretionary bonus.
  • Flexible working pattern.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

To Apply for this Job Click Here

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Senior Pricing Data Scientist

London

£55000 - £65000

+ Risk Analytics

Permanent
London

To Apply for this Job Click Here

SENIOR PRICING DATA SCIENTIST (FTC)

UP TO £65,000

FULLY REMOTE

This is an exciting opportunity for a Pricing Data Scientist to help identify and implement data-driven pricing changes improving the sophistication of this business’s pricing.

THE COMPANY

This is a car insurance business who are using an innovative approach, by offering cheaper policies, for the less someone drives.

THE ROLE

You can expect to be involved in the following day-to-day:

  • Utilising advanced analytics and machine learning to enhance customer acquisition, retention, and deliver personalised offerings.
  • Partnering with cross-functional teams to ensure data strategies align with overall company goals.
  • Developing and optimising predictive models to enhance pricing accuracy and maintain competitiveness.
  • Continuously validating and monitoring models to ensure effectiveness in reducing loss ratios and boosting revenue.
  • Implementing monitoring and alerting systems to track model performance and automate updates when necessary.
  • Customising reports to meet the unique requirements of various users and teams.

YOUR SKILLS AND EXPERIENCE

  • Strong experience with Python and SQL.
  • Experience developing pricing models.
  • Create predictive models using machine learning and data science techniques.
  • Experience working in insurance.
  • Excellent written and verbal communication skills.

THE BENEFITS

  • A salary of up to £65,000.
  • Remote working policy.
  • Flexible hours policy.

HOW TO APPLY

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FAQ

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

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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