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

Senior Analytics Consultant

City of London

£50000 - £60000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

Senior Analytics Consultant
Location: UK Remote (1x month in London) | Salary: up to £60,000

This is an opportunity to join a highly commercial analytics function where data products directly influence business decisions. Rather than sitting within a traditional IT team, you will work closely with senior stakeholders to solve complex challenges, build scalable analytical solutions, and create products that deliver long-term value across the organisation.
The Company
They are a growing professional services organisation investing heavily in data and analytics to support strategic decision-making and business growth. Their analytics team operates as a business-embedded function, partnering directly with commercial and operational leaders to develop impactful solutions. With a flexible and distributed working model, they foster collaboration, ownership, and continuous improvement. The environment is fast-paced, varied, and focused on delivering practical outcomes rather than technical complexity for its own sake.
The Role
You will:

  • Partner with senior stakeholders to translate complex business challenges into actionable analytical solutions.
  • Own the end-to-end delivery of analytical products, from initial discovery through to deployment and adoption.
  • Design and develop reusable frameworks, templates, libraries, and components that enable scalable delivery.
  • Build analytical tools and applications using Python and modern data product development practices.
  • Create solutions that are maintainable, configurable, and easily adopted by a wider team.
  • Collaborate with both technical and non-technical audiences, communicating insights clearly and effectively.
  • Contribute to development standards, governance processes, and best practices.
  • Support and mentor colleagues through knowledge sharing, peer reviews, and technical guidance.

Your Skills & Experience
You will have:

  • Strong commercial experience delivering analytical products from concept through to business adoption.
  • Advanced Python development skills within analytics, data science, or decision-support environments.
  • Experience building reusable tools, frameworks, or data products used by multiple stakeholders.
  • Knowledge of technologies such as Python, Git, Azure DevOps, Docker, Terraform, Shiny for Python, Streamlit, Dash, R, or similar platforms.
  • Excellent stakeholder management and communication skills.
  • A consulting-style approach with the ability to work across varied business problems.
  • Experience operating in fast-moving environments with changing priorities.
  • Confidence working independently while collaborating effectively within distributed teams.

What They Offer

  • The opportunity to work closely with senior decision-makers and influence business strategy.
  • Exposure to a broad range of analytical challenges and high-impact projects.
  • Clear opportunities to shape team standards, frameworks, and ways of working.
  • Ongoing professional development and career progression within a growing analytics function.

How to Apply
If you are an experienced Analytics Consultant with strong Python expertise and a passion for building impactful data products, apply today to find out more about this exciting opportunity.

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Senior Analytics Consultant

London

£60000 - £60000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Analytics Consultant
1 day a month in London | Up to £60,000

This is an opportunity to join a highly commercial data and analytics team where your work will directly influence business decision-making. You’ll take ownership of analytical products from concept to deployment, working closely with senior stakeholders to solve complex challenges and deliver scalable solutions.

The Company

They are a growing professional services organisation that places data-driven decision-making at the heart of its strategy. Their analytics team operates closely with commercial stakeholders, building impactful products that are used across the business to drive better outcomes. With a collaborative and flexible working environment, they offer the opportunity to work on a broad range of business-critical challenges.

The Role

  • Partner with senior stakeholders to translate complex business questions into actionable analytics solutions.
  • Design, develop and deliver analytical products from initial scoping through to production.
  • Build reusable frameworks, templates and tools that improve team efficiency and scalability.
  • Develop data visualisation and reporting solutions that support strategic decision-making.
  • Contribute to best practices across analytics development, documentation and governance.
  • Review and support the work of colleagues, helping to raise technical standards across the team.
  • Work within a fast-paced environment where priorities can evolve and change.

Your Skills & Experience

  • Strong commercial experience delivering analytical products that have achieved real business adoption.
  • Excellent Python skills and experience developing scalable analytics solutions.
  • Experience with tools such as Shiny, Streamlit, Dash, Quarto, Git, Azure DevOps or similar technologies.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Experience building reusable analytics frameworks, components or products.
  • Comfortable working with ambiguity and solving complex business problems.
  • Consulting, analytics, data science or data product development experience.

What They Offer

  • Salary up to £60,000.
  • Flexible remote/hybrid working arrangements.
  • Exposure to senior stakeholders and high-impact business projects.
  • Clear opportunities to shape analytics products and influence technical direction.
  • Collaborative and supportive team environment.
  • Long-term career development within a growing organisation.

How to Apply

Apply below!
Please note: sponsorship is not available for this position, and applicants must have the right to work in the UK.

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Lead Analytics Consultant

London

£90000 - £90000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Lead Analytics Consultant
London 1 day in the office | Up to £90,000 + Benefits

This is an opportunity for an experienced analytics professional to step into a leadership role with real influence. You’ll combine hands-on analytics delivery with team leadership, helping shape strategy, drive best practice, and deliver high-impact solutions that support business growth.

The Company

They are a growing professional services organisation that uses data and analytics to drive decision-making across the business. Their analytics function partners closely with senior stakeholders, delivering innovative solutions that create measurable commercial value. With significant investment in data capabilities, they offer a collaborative environment where new ideas are encouraged and implemented.

The Role

  • Lead the design, development, and deployment of analytics products and solutions.
  • Manage and mentor a team of analytics professionals, supporting technical and professional development.
  • Partner with senior stakeholders to define analytics roadmaps and identify opportunities for business impact.
  • Drive best practice across analytics development, governance, and delivery.
  • Build scalable frameworks, tools, and reusable assets to improve efficiency and consistency.
  • Translate complex business challenges into practical, data-driven solutions.
  • Contribute to strategic decision-making and help shape the future direction of the analytics function.
  • Remain hands-on with technical delivery where required.

Your Skills & Experience

  • Strong commercial experience delivering analytics solutions that have achieved business adoption and measurable impact.
  • Advanced Python skills with experience developing scalable analytics products.
  • Experience with technologies such as Streamlit, Dash, Shiny, Quarto, Git, Azure DevOps, or similar tools.
  • Proven ability to lead projects, influence stakeholders, and drive outcomes.
  • Experience mentoring, developing, or leading analytics teams.
  • Strong communication skills with the ability to engage both technical and non-technical audiences.
  • Comfortable operating in a fast-paced, evolving environment.

What They Offer

  • Salary up to £90,000.
  • Opportunity to shape analytics strategy and technical direction.
  • Leadership responsibilities with clear progression opportunities.
  • Exposure to senior stakeholders and business-critical projects.
  • Supportive and collaborative working environment.

How to Apply

If you’re a hands-on analytics leader looking to make a significant impact while developing a growing analytics capability, apply today.
Please note that sponsorship is not available for this position. Applicants must have the right to work in the UK.

To Apply for this Job Click Here

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Lead Analytics Consultant

London

£60000 - £90000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

LEAD ANALYTICS CONSULTANT
LONDON/REMOTE (1 DAY PER MONTH)
UP TO £90,000

This is an opportunity to join a highly commercial analytics team that sits directly within the business rather than a traditional technology function. You’ll work on analytical products that influence decision-making, improve client outcomes, and support growth across a large, fast-growing organisation.

ROLES AND RESPONSIBILITIES:
The Lead Analytics Consultant will:

  • Partner with senior stakeholders to translate commercial challenges into analytical solutions.
  • Build and deliver end-to-end analytical products used by both internal teams and external clients.
  • Develop dashboards, decision-support tools, and software products that generate actionable insights.
  • Create reusable frameworks, templates, and components that improve scalability and efficiency.
  • Work closely with consultants and client-facing teams to scope requirements and define product roadmaps.
  • Build analytical applications using Python and modern data product development practices.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Support best practices in product development, documentation, and code quality.

Your Skills & Experience:
The ideal candidate will have the following skills and experience:

  • Strong commercial experience developing analytical products using Python.
  • Experience taking products from initial requirements through to deployment and adoption.
  • Ability to work directly with stakeholders and translate business problems into technical solutions.
  • Strong communication skills with both technical and non-technical audiences.
  • Experience with data visualisation tools such as Power BI or similar platforms.
  • Comfortable working in an environment with changing priorities and evolving business requirements.
  • A consulting mindset with a focus on delivering practical business outcomes.

APPLY BELOW

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Director of Analytics & AI

$175000 - $200000

+ Data Science & AI

Permanent
New Jersey

To Apply for this Job Click Here

Director of Analytics & AI
New Jersey / Hybrid | Up to $200k + Bonus

A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.

This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.

What you’ll be doing:

  • Partnering directly with underwriting leaders across North America
  • Turning business challenges into analytics and AI solutions
  • Leading AI-enabled underwriting transformation initiatives
  • Working closely with Data Science, Engineering and Product teams
  • Driving adoption of data-led decision making across the business
  • Leading and developing a small, high-performing analytics team

What we’re looking for:

  • Strong commercial or specialty insurance experience
  • Deep understanding of underwriting processes and decision-making
  • Experience delivering value through analytics, data science or AI
  • Ability to influence senior stakeholders and operate at executive level
  • Experience leading teams and driving change across complex organisations

Why consider it?

  • Newly created role with significant visibility
  • Data & AI are a board-level priority
  • Opportunity to shape the future of AI in underwriting
  • Blend of strategy, delivery and stakeholder leadership
  • Direct impact on underwriting outcomes and business performance

This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.

To Apply for this Job Click Here

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Director of Data & AI

$175000 - $200000

+ Data Science & AI

Permanent
New Jersey

To Apply for this Job Click Here

Director of Data & AI

New Jersey / Hybrid | Up to $200k + Bonus

A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.

This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.

What you’ll be doing:

  • Partnering directly with underwriting leaders across North America
  • Turning business challenges into analytics and AI solutions
  • Leading AI-enabled underwriting transformation initiatives
  • Working closely with Data Science, Engineering and Product teams
  • Driving adoption of data-led decision making across the business
  • Leading and developing a small, high-performing analytics team

What we’re looking for:

  • Strong commercial or specialty insurance experience
  • Deep understanding of underwriting processes and decision-making
  • Experience delivering value through analytics, data science or AI
  • Ability to influence senior stakeholders and operate at executive level
  • Experience leading teams and driving change across complex organisations

Why consider it?

  • Newly created role with significant visibility
  • Data & AI are a board-level priority
  • Opportunity to shape the future of AI in underwriting
  • Blend of strategy, delivery and stakeholder leadership
  • Direct impact on underwriting outcomes and business performance

This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.

To Apply for this Job Click Here

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Data Scientist

London

£500 - £560

+ Data Science & AI

Contract
London

To Apply for this Job Click Here

Contract Data Scientist

London | Outside IR35 £500-560 per day| 2-months

This is an opportunity to join a specialist analytics consultancy on a high-impact insurance analytics project. You’ll play a key role in developing predictive models and customer segmentation frameworks that directly support commercial decision-making, working with rich first-party customer and transactional data from day one.

The Company

They are a specialist analytics consultancy that delivers advanced data science and predictive modelling solutions for enterprise clients. Their technology is deployed within client environments, helping organisations understand customer behaviour, forecast future outcomes, and identify opportunities for growth. They combine data science, analytics, and commercial insight to solve complex business challenges across customer-focused industries.

The Role and Deliverables

  • Build customer segmentation and clustering models to identify meaningful customer groups.
  • Develop propensity models and predictive analytics solutions to support business decision-making.
  • Forecast customer behaviour and future customer value using advanced modelling techniques.
  • Analyse motor and home insurance customer journeys, quote behaviour, and conversion patterns.
  • Design a core segmentation framework with multiple supporting sub-segmentations.
  • Package and document models for deployment and handover to engineering teams.

Your Skills & Experience

  • Strong experience delivering customer segmentation and clustering projects using unsupervised learning techniques.
  • Demonstrated capability in propensity modelling, predictive modelling, and forecasting.
  • Strong Python and SQL skills for data preparation, analysis, and model development.
  • Experience working within Databricks and/or Microsoft Fabric environments.
  • Comfortable developing solutions in notebook-based analytics environments.
  • Experience within insurance, customer analytics, pricing analytics, retention, acquisition, churn modelling, customer lifetime value, or quote conversion analysis.
  • Ability to work autonomously and quickly contribute within a fast-paced contract engagement.

How to Apply

If you have strong experience in customer analytics, predictive modelling, and insurance data science, apply today to discuss this contract opportunity in more detail.

To Apply for this Job Click Here

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Customer Selections Analyst (12-month FTC)

Stratford-upon-Avon

£40000 - £50000

+ Advanced Analytics & Marketing Insights

Permanent
Stratford-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

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Customer Experience Optimisation Manager (CRO)

London

£55000 - £60000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Customer Experience Optimisation Manager
London (Hybrid)
Up to 60k

This is a high impact opportunity to lead a data led customer experience and CRO function within a digitally focused organisation. You will own the optimisation of end to end customer journeys, using experimentation, insight, and innovation to drive measurable commercial outcomes.

The Company
They are a well established, customer centric organisation operating across multiple digital brands and markets. Customer experience sits at the core of their growth strategy, supported by strong investment in data, technology, and experimentation. The business fosters a collaborative environment where cross functional teams work closely to deliver continuous optimisation.

The Role
Be part of CRO and customer experience agenda, driving optimisation across the full digital journey while influencing strategic decision making.

  • Own and optimise the end to end digital customer journey with accountability for conversion and revenue performance
  • Develop and execute a data led experimentation and CRO roadmap across multiple products and markets
  • Use analytics, customer insights, and testing tools to identify opportunities and prioritise high impact improvements
  • Deliver and scale AB testing and experimentation programmes across digital platforms
  • Collaborate closely with product, UX, engineering, and marketing teams to deliver optimisation initiatives
  • Define and track key customer experience and performance metrics, presenting insights to senior stakeholders
  • Champion a culture of experimentation, continuous improvement, and customer centricity

Your Skills and Experience

  • Commercial experience in customer experience, CRO, or digital product optimisation
  • Proven track record of driving measurable impact through experimentation and data led decision making
  • Hands-on experience with analytics and testing tools such as Google Analytics, Optimizely, or similar
  • Understanding of UX principles, customer journeys, and personalisation strategies
  • Experience working cross functionally with stakeholders
  • Familiarity with experimentation frameworks and optimisation roadmaps
  • Experience within a highly regulated industry would be beneficial

What They Offer

  • Performance bonus
  • Hybrid working model with flexibility

How to Apply
If you are interested please apply with your CV.

To Apply for this Job Click Here

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Senior Pricing Analyst

London

£45000 - £55000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Senior Pricing Analyst | £40k-£55k + Bonus | London

A leading digital-first insurance business is growing its London pricing team and looking for a Senior Pricing Analyst to work across Risk, Retail and Telematics Pricing.

You’ll own end-to-end pricing projects across multiple products, working closely with data scientists and senior stakeholders.

Looking for:

  • Pricing analytics experience – ideally insurance, but other data-driven industries considered

  • Strong Python or SQL

  • Strong stakeholder management

  • Experience delivering projects end-to-end

  • Curious and commercially minded

£40k-£55k, with flexibility for strong insurance candidates, plus up to 10% bonus and excellent benefits.

London | Hybrid – 1 day per week in the office

Find out more and apply via the link below!

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Senior Data Scientist – Pricing

London

£60000 - £75000

+ Data Science & AI

Permanent
London

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Senior Data Scientist – Pricing

London / Leicester | £60,000 – £75,000

This is an exciting opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You’ll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact.

The Company

They are a data-driven organisation that has invested heavily in its analytics and pricing capabilities. Their Data Science team sits at the heart of strategic decision-making, helping to improve risk assessment, customer outcomes, and commercial performance. Working within a collaborative environment, you’ll partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches.

The Role

You will:

    • Develop and deploy machine learning models that support pricing and risk management strategies.
    • Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics.
    • Create and maintain analytical tools used to manage and optimise risk portfolios.
    • Identify, assess, and utilise new data sources to improve model performance and business outcomes.
    • Engineer new predictive features that can be incorporated into pricing algorithms.
    • Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring.
    • Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value.
    • Explore emerging machine learning techniques and assess their practical application within the business.

Your Skills & Experience

    • Strong commercial experience delivering end-to-end machine learning projects.
    • Excellent Python and SQL skills.
    • Experience with Azure Machine Learning, Azure Cloud Services, and Git.
    • Strong understanding of model deployment, monitoring, evaluation, and optimisation.
    • Ability to translate complex business problems into scalable analytical solutions.
    • Experience engaging with a range of stakeholders to define requirements and drive successful outcomes.
    • Strong communication skills and a collaborative approach to problem-solving.
    • Passion for applying advanced analytics and machine learning to real-world business challenges.

How to Apply

To find out more about this opportunity, please apply with your CV and we’ll be in touch to discuss the role in more detail.

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Staff Engineer

London

£550 - £550

+ Data Engineering

Contract
London

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Staff Engineer, Premium Finance Integration

South West London (Hybrid) | Outside IR35 | £550 per day
This is a unique opportunity to lead the end-to-end replacement of a business-critical premium finance platform within a regulated environment. You will take ownership from discovery through to delivery, defining the technical strategy and building the solution while ensuring uninterrupted service for customers and accurate financial reporting throughout the transition.
The Company
They are a well-established organisation operating within a highly regulated sector, delivering services to customers across the UK. Technology is central to their customer experience, with a strong focus on reliability, compliance and operational excellence. They are investing in the modernisation of a core financial integration and are seeking an experienced Staff Engineer to own this critical transformation programme.
The Role and Deliverables

  • Map and document the existing premium finance integration landscape, including APIs, batch processes, policy lifecycle dependencies, reconciliation processes and reporting flows.
  • Define and own the engineering strategy for migrating to a new third-party premium finance platform, including architecture decisions, risk management and transition planning.
  • Design and build a robust integration solution using C#, .NET, SQL and modern cloud-native engineering practices.
  • Deliver a migration approach supporting parallel running, phased cut-over, reconciliation between platforms and clear rollback capabilities.
  • Ensure financial reporting, reconciliation, customer communications and payment collection processes remain accurate and uninterrupted throughout the transition.
  • Lead vendor integration activities, testing, cut-over execution, stakeholder sign-off and knowledge transfer to the internal engineering team.

Your Skills & Experience

  • Strong experience operating as a Staff Engineer, Principal Engineer or equivalent technical leader with ownership of large-scale platform delivery.
  • Proven track record replacing or migrating business-critical third-party integrations while maintaining live operational services.
  • Hands-on expertise with C#, .NET, SQL, CI/CD, DevOps and automated testing.
  • Experience designing resilient integrations involving APIs, batch interfaces, reconciliation processes, idempotency, observability and auditability.
  • Strong knowledge of Kubernetes and modern cloud-native software engineering practices.
  • Experience working within regulated environments where financial accuracy, compliance and reporting are critical.
  • Ability to engage effectively with technical and non-technical stakeholders and explain technical decisions clearly.
  • Exposure to Azure, Azure DevOps, Datadog, event-driven architectures, payments, lending or financial services environments would be advantageous.

How to Apply
If you’re a hands-on Staff Engineer with experience delivering complex financial platform integrations and migrations, apply today to discuss this contract opportunity further.

To Apply for this Job Click Here

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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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