INDUSTRY
OVERVIEW
The insurance industry is undergoing a data analytics revolution. As businesses increasingly rely on data-driven insights to drive decision-making, the demand for data analytics professionals who can provide risk management solutions within the insurance sector is surging.
In recent years, the realm of data and analytics has gained paramount importance, resulting in the emergence of specialized roles such as credit analysts, data scientists, data engineers, and analytics developers. One of the key challenges in Insurance Data Recruitment is identifying individuals with the right skill set to aid their company's risk management services. These positions necessitate expertise in programming languages, data modelling, statistical analysis, and knowledge of advanced data analytics techniques. All whilst working within the organisation's risk management framework, which varies from company to company.
Currently, there exists a notable scarcity of skilled data analytics professionals, rendering it challenging for insurance companies to identify the right talent to fill crucial roles. The demand for skilled professionals in Insurance Data Recruitment is expected to grow in the coming years as the insurance industry continues to evolve. Consequently, a competitive landscape has started to emerge, characterized by escalating salaries and benefits as organizations vie for qualified candidates.
Attracting and retaining top talent through insurance data recruitment insurance companies must cultivate a supportive and innovative workplace culture that nurtures growth, learning, and collaboration. Insurance Data Recruitment is a strategic imperative for these companies. By investing in the recruitment, training and development of their workforce, insurers can secure the retention of skilled professionals and maintain a competitive edge in the data analytics-driven insurance landscape. Contact one of our insurance data recruitment experts today to stay ahead in this evolving industry.
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CORE SKILLS
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Data Analysis: Data analysts in insurance need a strong grasp of data analysis techniques. This involves the ability to clean, preprocess, and transform raw data into a usable format. Analysts must also be skilled in exploratory data analysis to uncover patterns, correlations, and anomalies within insurance datasets. This skill is crucial for identifying key insights that can inform business decisions and risk assessment.
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Statistical Analysis: Statistical analysis is at the core of insurance data analytics. Analysts must be proficient in statistical methods to assess risk, model claim frequencies and severities, and conduct actuarial analyses. This skill is essential for pricing insurance products accurately and for making underwriting decisions.
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Data Visualization: Data analysts need to translate complex data findings into easily understandable visualizations. Proficiency in data visualization tools like Tableau or Power BI is essential. Clear and compelling visualizations help stakeholders, including underwriters and executives, comprehend data-driven insights and make informed decisions.
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Programming Languages: Data analysts often work with programming languages like Python or R to manipulate and analyze data efficiently. These languages enable analysts to write custom scripts and algorithms for data transformation, statistical modeling, and machine learning applications. Python, in particular, is widely used in the insurance industry for data analytics.
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Machine Learning: Machine learning is increasingly important in insurance data analytics. Analysts must have a foundational understanding of machine learning algorithms and techniques. These skills are used for tasks such as predicting insurance claims, identifying fraud, and optimizing customer segmentation.
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Insurance Domain Knowledge: Understanding the insurance industry's nuances, including various insurance products (e.g., life, health, property, casualty), policy structures, and regulatory requirements, is critical. Domain knowledge allows data analysts to contextualize data and tailor their analyses to address specific insurance-related challenges.
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Business Acumen: Data analysts should have a strong sense of the insurance business. They need to align their data analytics efforts with the company's strategic goals and objectives. This entails understanding the insurance market, competitive landscape, and customer needs.
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Ethical Data Handling: Data privacy and ethical considerations are paramount when working with sensitive customer data in the insurance industry. Analysts must ensure compliance with data protection regulations and industry standards to maintain customer trust and legal integrity.
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Team Collaboration: Effective communication and collaboration skills are essential. Data analysts often work in cross-functional teams alongside underwriters, actuaries, and IT professionals. The ability to communicate data findings clearly and collaborate on solutions is crucial for success.
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Adaptability: The insurance industry, like many others, is continuously evolving. Data analysts should be adaptable and open to learning new data tools, technologies, and methodologies. Staying updated with industry trends and emerging data analytics techniques is important.
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HIRING DATA SCIENTISTS?Â
A data scientist's role in the insurance industry is multifaceted and essential for leveraging data to make informed decisions, optimize processes, and drive business growth.
To hire and retain the best Data Scientists, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
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UK Hiring Market:
In the competitive landscape of the UK insurance industry, the demand for skilled data scientists is steadily increasing. The UK's insurance sector is renowned for its innovative approach and reliance on data analytics to refine risk assessment and customer engagement. To attract top data science talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to technological advancements and data-driven decision-making.
US Hiring Market:
In the United States, there is a surging demand for data scientists in the insurance sector. Insurance companies, insurtech firms, and startups are heavily investing in data analytics to optimize underwriting processes, enhance customer experiences, and develop predictive models for risk management. To compete for data science talent in the US, insurance organizations must offer attractive compensation packages and highlight their involvement in cutting-edge data projects.
EU Hiring Market:
The European insurance market exhibits varying levels of demand for data scientists across different countries. Nations with a strong insurance presence, such as Germany, France, and Sweden, are experiencing a substantial need for data scientists proficient in insurance data analytics and regulatory compliance. Insurance companies in these regions should target local talent pools and emphasize their industry expertise to attract skilled data scientists.
Speak to one of our insurance data recruitment experts today to find a data scientist to suit all your needs!
HIRING RISK ANALYSTS?
HIRING DATA ENGINEERS?
HIRING CREDIT ANALYSTS?
In the insurance industry, credit analysts play a pivotal role in assessing and managing the financial risks associated with policyholders and potential clients.
To hire and retain the best Credit Analysts, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
HIRING BUSINESS INTELLIGENCE ANALYSTS?
In the insurance industry, business intelligence (BI) analysts serve as the data maestros, orchestrating the management and utilization of vast datasets essential for informed decision-making. Their role is multifaceted, encompassing various critical responsibilities that collectively enhance the overall efficiency and effectiveness of insurance operations.
To hire and retain the best BI Analysts, organisations should:
- Provide competitive salary and benefits packages
- Professional Growth Opportunities
- Innovative Work Environment
- Build a strong employer brand
- Establish strategic partnerships with universities and research institutions.
UK Hiring Market:
In the competitive landscape of the UK insurance industry, the demand for skilled BI analysts is on the rise. The UK's insurance sector relies heavily on data-driven insights for risk assessment, customer segmentation, and operational optimization. To attract top BI analyst talent, insurance companies in the UK should implement strategic recruitment practices and emphasize their commitment to leveraging data for competitive advantage.
US Hiring Market:
In the United States, there is a growing demand for BI analysts in the insurance sector. Insurance companies, including carriers and brokers, are increasingly adopting BI solutions to gain insights into customer behaviour, claims processing efficiency, and market trends. To compete for BI analyst talent in the US, insurance organizations should offer attractive compensation packages and showcase their involvement in cutting-edge BI projects.
EU Hiring Market:
The European insurance market also presents opportunities for BI analysts, particularly in countries with strong insurance industry presence such as Germany, France, and Sweden. These regions require BI analysts proficient in data analytics and visualization to support data-driven decision-making and enhance operational efficiency. Insurance companies in these areas should focus on local talent pools and emphasize their industry expertise to attract BI analysts who can unlock valuable insights from data to drive business growth and competitiveness.
Need help to hire the right BI Analyst? Contact us today and choose from our diverse talent pool.
JOBS
LATEST Insurance Data
JOBS

Senior Pricing Modelling Analyst
City of London
£50000 - £60000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Pricing Modelling Analyst
London
Hybrid (1 day week in office)
Up to £60,000
Company:
I am hiring for a leading insurance company at the forefront of the industry, committed to its valued customers. They have a consumer market presents across the UK with huge investment and planned growth over the next couple of years the company are continuously pushing boundaries to deliver unparalleled services to their consumers within the industry.
The Role:
- Building pricing models, using statistical techniques and machine learning algorithms.
- Conducting data analysis and reporting to evaluate pricing performance and identify opportunities for optimization.
- Developing and implementing pricing strategies
- Collaborating with external stakeholders to understand client objects for insurance
- Utilizing your strong communication skills to present complex pricing concepts and strategies
- Optimisation and testing pricing models to increase effectiveness for clients
Experience Required:
- Experience in pricing analytics within the insurance industry.
- Experience developing pricing models using Python.
- Ideally experience with motor insurance
- Proven experience in building pricing models using statistical techniques and machine learning algorithms.
- Excellent communication and interpersonal skills
- Experience working with senior stakeholders and helping to implement pricing strategy
- STEM Degree from a top university
Benefits
Up to £60,000 + competitive benefits package
To Apply for this Job Click Here

Product Governance Manager – Insurance
London
£55000 - £75000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PRODUCT GOVERNANCE MANAGER – INSURANCE
£70,000
LONDON (OTHER LOCATIONS ACROSS UK)
THE COMPANY
Our client is a leading insurance company in the UK who are continuing to grow their presence. They are seeking a data-driven and motivated candidate to join their team to manage and implement a product governance framework across the business. This role offers excellent development and learning opportunities as well as a clear progression structure.
THE ROLE
- Design and implement a strong and effective product governance framework for both new and existing products.
- Oversee a range of operational and conduct-related tasks, ensuring efficient multitasking and prioritization in a dynamic and fast-moving environment.
- Manage and own policy documentation (Common Policy Wording), including coordinating input from key stakeholders and overseeing a prioritized schedule of updates.
- Handle SMCR responsibilities, covering areas such as product documentation, policy documents, and sales practices.
- Lead the annual product review and value assessment process for a portfolio of general insurance products.
YOUR SKILLS AND EXPERIENCE:
- Essential to have experience in the insurance space, ideally in personal lines
- Knowledge of regulations including PROD and ICOBS
- Experience managing and developing product documents
- Desire to ‘hit the ground running’ and drive future business growth
SALARY AND BENEFITS
- Up to £70,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- Hybrid 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

Product Governance Manager
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
Product Governance Manager
Salary up to £70,000 + a £5,000 car allowance
Hybrid working policy (1-2 days a week in office)
London
Harnham are working with a leading company in the insurance industry to bring in a new Product Governance Manager to own and develop a robust governance framework across all personal products. The company itself is a fast-paced, established insurer and has benefited from consistently high rates of growth YoY.
The Role
- You’ll be responsible for the development and application of a robust and effective product governance framework, working on new and existing products.
- Working on annual reviews and value assessments
- Regular monitoring of KPIs to identify key consumer outcomes at risk and monitor action plans for resolution or mitigation
- Liaising with various stakeholders and people management opportunities
Your Skills and Experience
- Expert knowledge of FCA regulations, specifically with PROD, PROD4, and ICOBs
- Insurance experience is required
- Product experience is required
- Stakeholder management experience
The Benefits
- Salary up to £70,000
- £5,000 car allowance
- Discretionary bonus scheme
- 10% matched pension contribution
- 27 days annual leave
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

Product Governance Manager
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
PRODUCT GOVERNANCE MANAGER
UP TO £70,000
FLEXIBLE WORKING, OFFICES IN LEICESTER, LONDON, OR BEXHILL
This insurance company is seeking a Product Governance Manager to support the core insurance strategy function through management and ensuring robust governance practice.
THE COMPANY
This company offers car, multi-car, home, bike, and van insurance. They are a growing business, and are very data driven, using innovative ideas and practices.
THE ROLE
You will be doing the following daily:
- Develop and implement a robust product governance framework encompassing new product launches, updates to existing products, annual product reviews, ongoing monitoring of KPIs to identify risks.
- Ensure activities prioritize positive consumer outcomes and align with customer-centric principles.
- Represent the “voice of the customer” in business projects, safeguarding regulatory compliance and the delivery of consumer-focused outcomes.
- Oversee and coordinate updates to key customer documents through the Policy Wording Forum, ensuring policy wording accurately reflects product coverage and aligns with stakeholder expectations.
- Fulfill SMCR (Senior Managers and Certification Regime) responsibilities, including maintaining accurate product documentation (IPIDs, Policy Documents, Schedules of Insurance), ensuring ethical sales practices, and addressing post-sales barriers.
- Ensure accurate and relevant product disclosures are integrated within customer interactions (digital and telephone) and colleague user guides.
- Lead assessments of new regulations, evaluate their business impact, and drive appropriate governance adaptations to maintain compliance and uphold reputation.
YOUR SKILLS AND EXPERIENCE
- Excellent knowledge of FCA regulations, including PROD, and ICOBs.
- Experience working in the general insurance industry.
- Strong product management experience.
- Strong stakeholder management skills.
- Excellent written and verbal communication skills.
- Strong Excel skills.
THE BENEFITS
- Up to £70,000.
- Car allowance.
- Up to 10% bonus earning potential.
- Pension match up to 10%.
- 27 days annual leave.
- 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

Lead Software Engineer
London
£80000 - £100000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
LEAD SOFTWARE ENGINEER
£80,000 – £100,000 PER ANNUM
WEST LONDON (3 / 2 HYBRID)
A strongly backed scale-up in the Insurance industry, growing quickly and disrupting the market, is looking for a Lead Software Engineer to take ownership of the Technical Strategy and lead the Software Development teams in a key role.
THE COMPANY:
This business is at the forefront of modernising the traditional Insurance industry. They’re well backed and growing quickly as they provide more agile, personalised service.
THE ROLE:
As a Lead Software Engineer you will be responsible for managing the Software teams, as well as being a strategic leader in the technical direction of the business. In specific, you can expect to be involved in the following:
- Lead the Software Engineering team in their Development goals
- Take charge of long-term strategic design decisions across technology within the business
- Optimise database & team performance, with particular attention across Back-end development & Infrastructure
- Get hands-on with coding in Python
YOUR SKILLS AND EXPERIENCE:
The successful Lead Software Engineer will have the following skills and experience:
- Strong experience in full-stack Software Engineering, with particular focus on Back-end & Infrastructure
- Coding skill with Python, and ideally some experience with next.js
- Ability to lead & inspire a team of Software Engineers in a scale-up environment
- Experience within a GCP environment would be preferable
THE BENEFITS:
The successful Lead Software Engineer will receive a salary of up to £100,000 per annum, plus a host of other benefits.
HOW TO APPLY:
Please register your interest by sending your CV to Callum Aris via the Apply link on this page.
To Apply for this Job Click Here

Data Scientist
London
£35000 - £40000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London
£40,000
Are you ready to make an impact in one of the fastest-growing businesses in the UK? Do you want to join a company that’s revolutionising an entire industry, making it fairer for people, better for the planet, and more affordable for everyone? We’re working with a rapidly growing tech scaleup, on a mission to change the way the world thinks about insurance. They’ve been recognised for their fast growth, environmental commitment, and dedication to customer experience, and are now looking for an enthusiastic Data Scientist to join their talented Data team.
About the Company:
This company is on a mission to make insurance simple, flexible, and affordable through data and technology. They are passionate about their environmental impact, becoming a B Corp in 2022 and offsetting their carbon emissions every year.
What you’ll be doing:
* Dive into the company’s data platform and immediately start contributing to models that drive important business decisions.
* Work across key projects such as pricing, risk assessment, fraud detection, and more.
* Develop, deploy, and iterate on data models that directly influence business outcomes and customer experiences.
* Collaborate with Engineering, Product, and Commercial teams to deliver innovative, data-driven solutions.
* Help shape and improve the company’s cutting-edge data platform and analytics processes.
* Play a key role in cross-functional projects, contributing to both business strategy and technical development.
* Join a supportive, ambitious team that prioritises your growth and well-being.
What we’re looking for:
* Commercial experience as a Data Scientist
* Strong problem-solving skills with a passion for discovering creative ways to use data for business value.
* Experience working across the full data lifecycle, from data pipelines to model deployment.
* Familiarity with tools like Python (pandas, scikit-learn, TensorFlow/PyTorch), SQL, BigQuery, dbt, or Spark (or an eagerness to learn!).
* Knowledge of statistical methods and machine learning, such as A/B testing and model validation.
* Excellent communication skills, with the ability to simplify technical concepts for non-technical audiences.
* Strong time management skills, with the ability to prioritise tasks and work towards broader company goals.
* A collaborative approach with the ability to work across diverse teams.
How to apply:
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here

Commercial Data Analytics Developer
Haywards Heath
£36000 - £42000
+ Advance Analytics & Mrktg Insight
PermanentHaywards Heath, West Sussex
To Apply for this Job Click Here
Commercial Data Analytics Developer
Up to £42,000
Hybrid – Sussex
A great opportunity to join a leading vehicle insurance company as a Commercial Analytics Developer
THE COMPANY
The business is a leading vehicle insurance company with over 1+ million customers and are looking to hire a Commercial Data Analytics Developer to join their newly formed Marketing and Analytics team.
THE ROLE AND RESPONSIBILITIES
- Designing, developing and optimising marketing data models
- Creation and maintenance of marketing campaign reports
- Analysing quality of data through marketing activities
- Segmenting customer data to improve customer experience
- Solving complex marketing questions
- Collaborating with external marketing agencies
YOUR SKILLS AND EXPERIENCE
- Strong technical experience in SQL and Data Visualisation (Python nice to have)
- Proven background in marketing analytics (ROI, cost per acquisition, bounce rates, clicks etc.)
- Strong stakeholder management skills
THE BENEFITS
- Up to £42,000
- Hybrid
- Sussex
HOW TO APPLY
If interested in the role please send your CV to Jordan Victor via the Apply Link below
To Apply for this Job Click Here

Data Scientist – Insurance
London
£50000 - £68000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
DATA SCIENTIST – INSURANCE
£68,000
LONDON
THE COMPANY
This business are an exciting and growing Insurtech who are going from strength to strength as they continue their European expansion. This role offers the chance to make a real impact in the business and work in a highly-motivated team offering excellent progression opportunities.
THE ROLE
- Develop cutting edge pricing 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 2-3 years prior experience in pricing analytics within insurance
- Good knowledge of Python is essential
- Prior experience in pricing model development OR implementation
- Strong communication skills and desire to learn is key
SALARY AND BENEFITS
- Up to £68,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- 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

Pricing Modeller – Insurtech
London
£50000 - £60000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
SENIOR PRICING ANALYST – INSURANCE
£60,000
LONDON (remote option available)
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 own 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 are starting to expand their market share. 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 pricing modelling at the core. They offer a fast-paced and data-focused environment where no two days will be the same!
THE ROLE
You can expect to:
- Develop cutting edge pricing 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 2 years prior experience in pricing analytics within insurance
- Good knowledge of Python is essential
- Prior model development experience is essential, GBM experience is desirable
- Strong communication skills and desire to learn is key
SALARY AND BENEFITS
- Up to £60,000 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

Senior Pricing Analyst
London
£45000 - £50000
+ Risk Analytics
PermanentLondon
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

Marketing Data Analyst
£35000 - £45000
+ Advance Analytics & Mrktg Insight
PermanentEngland
To Apply for this Job Click Here
Marketing Data Analyst
Fully Remote in The UK (occasional travel to office)
£35,000-£45,000
An incredible opportunity to join growing leaders in the insurance sector as a Marketing Data Analyst!
THE COMPANY
A leading company in the insurance space is seeking a Marketing Data Analyst to join an established team and drive their business through their marketing sector. If you feel like you could build up a marketing strategy, this role is for you!
THE ROLE
As a Marketing Analyst, you’ll be speaking to key stakeholders of the business, conducting A/B testing and using your passion for marketing and analytics for the growth of the business! You will be monitoring and promoting campaigns to drive their brand through many media streams.
YOUR SKILLS AND EXPERIENCE
- SQL and / or python
- Analytics tool (preferably Adobe Analytics)
- Passion for Marketing and Analytics
THE BENEFITS
- £35,000-£45,000
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

Pricing Analyst – Renewals Strategy
North London
£40000 - £50000
+ Risk Analytics
PermanentNorth London, London
To Apply for this Job Click Here
PRICING ANALYST – RENEWALS STRATEGY
£50,000
NORTH-EAST LONDON
This is an exciting opportunity to join a growing business in the insurance space where you can make a real impact on the business. You’d be able to work across a range of pricing analytics projects, within a small team to really take ownership of your work.
THE COMPANY
Our client are an exciting insurance business that are growing well. They’ve gone from strength to strength in recent years and this role is part of their increased presence in the market. They have a really strong working environment that’s focused on collaboration and development.
THE ROLE
- Develop and implement pricing strategies for customer renewals with a focus on profitability and customer retention
- Conduct in-depth analysis of the customer book, looking at areas including churn risk, loss ratios, retention rates
- Develop and validate retail and technical pricing models using machine learning methods
- Conduct market research and competitive analysis to identify opportunities and gaps for new product development
YOUR SKILLS AND EXPERIENCE:
- Prior experience with renewal pricing strategy for general insurance is essential
- Experience using Earnix is highly desirable, Emblem or Radar would be second preference
- Good knowledge of programming software such as SAS, SQL, Python or R would also be desirable
- Strong communication skills and desire to ‘hit the ground running’
SALARY AND BENEFITS
- Up to £50,000 base salary
- Discretionary bonus scheme
- Contributory pension scheme
- Hybrid 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
Industry Hub
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News & Blog
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FAQ:
What does a Data Analyst do in insurance?Â
- A data analyst in the insurance industry plays a vital role in extracting meaningful insights from vast datasets to inform decision-making, improve operational efficiency, and manage risk effectively.
How much do insurance analysts make in the UK?
- The average salary for an Insurance Analyst in the UK is £33,819 per year. However, Salaries may differ by location, with analysts in London typically earning higher incomes due to the city's higher cost of living.
What are the different types of insurance analysts?
There are several different types of insurance analysts who specialise in various areas.
- Fraud Analysts: These analysts specialise in identifying and preventing fraudulent insurance claims. They do this through the use of data analysis and investigative techniques to detect suspicious activities.
- Claims Analysts: This type of analyst will investigate claims made by policyholders. They verify the validity of the claims and assess the extent.
- Actuarial Analyst: This type uses mathematical and statistical models to assess and predict risk. This helps insurance companies set rates & estimate future liabilities.Â
- Market Research Analysts: These Analysts study industry trends, customer behaviour & their competitors. All so that they can provide insights for their insurance companies. Which use them to identify new market opportunities & marketing strategies.
- Risk Analysts: Asses and manage various types of risks that insurance companies face, this includes financial, operational & market risks. A big part of their responsibilities is developing risk mitigation strategies to safeguard the company's financial stability.Â
What is an insurance analytics platform?
- A risk management software solution, specially designed to help insurance companies leverage data analytics to improve their decision-making, manage risks more effectively and manage risks more efficiently. The data provides analysts with the insights they need to inform key stakeholders of potential threats to and opportunities for the business.
How big is the insurance analytics market?
- As of 2022 & on a global scale, the insurance analytics market was valued at $11.71 Billion. It is expected to grow at a rate of 15.4% from 2023 through 2029. With an eventual value of $31.92 Billion.
How is data analytics transforming the insurance industry?Â
- The main aspect of data analytics that has proven to be game-changing is Cloud Computing. Cloud computing has and continues to improve the performance of analytics in real-time and in greater depth. Â
Why do we need data analytics in the insurance industry?
- With data analytics, an insurer enables itself to optimise every single aspect of its business using insights from data. This is known as data-driven decision-making.Â
Industry Trends
In the world of insurance, stability has traditionally been the cornerstone, allowing for predictable risk assessment and steady growth. However, the once steadfast foundations of this industry are undergoing a profound transformation. Over the past few years, a series of short-term crises have shaken the very core of insurance. From a global pandemic to political unrest, supply chain disruptions, and extreme weather events, the landscape is evolving in ways unimaginable just two decades ago.
These short-term crises are not isolated incidents but rather symptomatic of larger, long-term trends. Previously, we referred to these trends as STEEP factors, encompassing Social, Technological, Economic, Environmental, and Political influences. Today, their impact is more pronounced than ever. Social instability, technological disruption, shifting demographics, and climate change are converging to create a fractured world. Insurers now face a daunting array of intensifying risks, both in terms of variety and frequency.
Consequently, these developments have brought about significant changes within the insurance industry itself. Let's explore some of these transformative shifts:
Market Evolution
The traditional insurance market is undergoing a seismic shift. The rise of digital channels and an expanded network of distribution points, including partnerships and embedded options, is disintermediating markets. This proliferation of policy options and easier access challenges the established dominance of carriers. Barriers to entry are diminishing, setting the stage for increased competition and innovation.
Operational Adaptation
Even before the pandemic, insurers were grappling with substantial changes across their operations. In multiple PwC CEO surveys, insurance leaders consistently identified disruption as their primary challenge. The pandemic further accelerated these changes, pushing the workforce and customer interactions into the virtual realm. This shift stressed various functions, including IT, HR, and sales, while upending many established assumptions and behaviours. The industry responded by experimenting with new approaches, but a sense of caution lingers as insurers remain vigilant for unforeseen challenges.
Technological Revolution
Insurers are striving to become tech-enabled, leveraging data from multiple sources to rapidly assess and price risk. Additionally, they aim to provide seamless customer experiences, offering information and insurance precisely when clients need it. Achieving this vision requires a flexible technological infrastructure and a strategic IT function. While progress is evident, most carriers still have a substantial distance to cover before becoming truly tech-enabled, as opposed to merely 'digital.'
Environmental and Social Responsibility
Environmental, Social, and Governance (ESG) considerations are now central to the insurance industry's continued relevance. Compliance with reporting requirements and maintaining a positive brand image are just the tip of the iceberg. Insurers are extending their responsibilities to help clients and society at large mitigate natural and human catastrophes, cybercrime, and other loss incidents. By doing so, they reduce claims, boost profitability, and ensure their long-term viability as carriers.
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These proactive approaches not only reduce claims but also boost profitability and ensure carrier viability. As insurers grapple with these challenges, we anticipate four likely approaches:
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Incremental Change: This aligns with the current and historical norm for most carriers. They adapt incrementally, often reactively, in response to STEEP developments. This approach involves modernizing certain key operational aspects, such as claims processing and customer service, albeit without a comprehensive vision for how cloud and digital transformation can enhance broader business and operations. Incremental change also includes defending or expanding market share, primarily by competing on price and refining loss mitigation and prevention measures. It often involves short-term cost-cutting and a slow adoption of data-driven service improvements. This approach may lack full funding and consistent C-suite support.
- While it modernizes and enhances certain critical operational facets, such as claims processing, and customer service features like autopay and self-service options, it frequently falls short in adopting a comprehensive enterprise-wide perspective on how cloud and digital transformation can truly elevate the broader spectrum of business and operational functions
- Safeguards its market position and bolsters its brand image among specific customer segments, usually by engaging in price-based competition.
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Enhances the improvement of loss prevention and mitigation on the periphery.
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Reduces costs usually by implementing short-term expense reductions.
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Utilizes data at a leisurely pace when it comes to enhancing service experiences.
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Employs data at a relaxed rate when improving service encounters.
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The Customer-First Approach: Some insurers are restructuring their business and operating models to place the customer at the forefront. This entails aligning offerings and services with evolving customer needs over time. on the customer's needs. This entails fashioning personalized, all-encompassing insurance packages right at the moment of purchase, while seamlessly eliminating any friction by amalgamating service and support across our array of offerings.
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The principle that carrier and customer success are indistinguishable is fully endorsed by business and operating models.
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Encompasses a wide range of consumer and risk data sourced from sensors, telematics, and unstructured data to tailor coverage, offer a smooth service experience, mitigate risks, and earn the confidence of customers.
- Provides user-friendly and educational AI-driven insurance and financial solutions for various stakeholders, including employers and their staff (group), enterprises (both commercial and personal lines), individual clients (across all coverage categories), and agents (across all business sectors).
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Disseminates data from the mentioned applications and others both within the company and to pertinent collaborators in order to uphold a live grasp of customer requirements, actions, and risk assessments.
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Aids policyholders and the community in proactively preventing losses by shifting from relying on probability-based risk management to adopting a deterministic approach. This, in turn, leads to a decrease in claim payments and an enhancement in overall profitability.
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Pragmatic Evolution: Insurers adopting this approach orchestrate coverages, services, and support in response to changing customer requirements, offering a flexible and adaptable insurance experience.
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Enhances the potential of cloud and digital advancements by reinventing the customer journey, establishing a beneficial cycle of support between technological empowerment, dissemination, and customer assistance.
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Facilitates the process of transformation by optimizing crucial processes and mitigating risks in order to boost income, foster business creativity, encourage expansion, and enhance adaptability.
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Explorations involving interconnected, multifaceted points of engagement, encompassing ecosystems and incorporated insurance.
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Tailors insurance policies and offers convenient (self-)service through the utilization of consumer and market information to craft suitable, AI-informed options for specific customer groups.
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To optimize the efficiency of AI from its inception and throughout its lifecycle, an automated framework is employed to gauge the effectiveness of AI bots.
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Ensuring customer retention involves simplifying policy renewal procedures and showing careful consideration regarding the mode and frequency of communication.
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Radical Reinvention: A few visionary insurers are creating unique business and operating models that redefine insurance and minimize risk. They aim to revolutionize the industry rather than merely adapt to change.
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Partnerships play a crucial role in our strategic approach due to the reduced barriers to entry and the expanded array of consumer touchpoints, coverages, and coverage options. This requires us to move away from conventional business and operating models.
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Consequently, inclusion is effortlessly integrated into virtually any transaction's point of sale through collaborative alliances and interconnected systems.
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Utilizes cutting-edge artificial intelligence that functions discreetly, preemptively identifying the requirements of customers to the extent that it can adjust insurance policies appropriately with minimal or even no intervention from the purchaser.
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Utilizes the information within its reach to collaborate closely with policyholders, communities, governmental, and private entities in order to proactively improve the factors contributing to and thwart the occurrence of natural disaster losses and cyberattacks.
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