Senior Consultant, Data Modelling B14,Speciality Insurance
Senior Consultant, Data Modelling B14,Speciality Insurance

Senior Consultant, Data Modelling B14,Speciality Insurance

Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to design and implement data models for the Specialty Insurance sector.
  • Company: EY is a global leader in financial services, focusing on AI and data solutions.
  • Benefits: Enjoy flexible working, career development, and a competitive remuneration package.
  • Why this job: Make a real impact while working with cutting-edge technology in a diverse culture.
  • Qualifications: Experience in data modeling and a passion for data-driven solutions are essential.
  • Other info: Be part of a growing team that values your unique voice and contributions.

The predicted salary is between 48000 - 84000 £ per year.

The EY Financial Services AI & Data team is continuing to grow and develop unique advisory propositions aligned to market needs and demand. We are currently seeking outstanding Data Modelers (Senior Consultants) with strong experience in AI and Data solution design and implementation within the Specialty Insurance domain to join our team and contribute to our ongoing growth and success on a global scale.

The opportunity involves working collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data and analytics strategies and solutions. We provide expertise and delivery in three core areas:

  • Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation.
  • Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance, Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions.

Your key responsibilities include:

  • Working as part of a delivery team on complex Financial Services programs, primarily focusing on data modeling, with additional roles likely to include techno-functional analysis, data strategy, data analysis, solution design, and end-to-end implementation management.
  • Leading the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases.
  • Translating complex business and analytical requirements into scalable data structures across cloud platforms (Azure, AWS, GCP, Snowflake) and modern data architectures (e.g., data Lakehouse, data mesh).
  • Working with stakeholders to define data standards, canonical models, and entity relationships across domains.
  • Collaborating with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute, and pipeline strategies.
  • Providing governance support by defining metadata, lineage, and documentation for critical data assets.
  • Evaluating and introducing modeling best practices, tools, and automation to increase model reuse, version control, and deployment efficiency.
  • Leading data modeling reviews, ensuring consistency across programs, and contributing to architecture boards or governance forums.
  • Contributing to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness.

Skills and attributes for success:

  • A passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators, and shareholders.
  • Advanced problem-solving skills and the ability to communicate complex ideas effectively, both verbally and in writing.

To qualify for the role you must have some or all of the following:

  • Previous FS experience in the Insurance Sector with a good understanding of Specialty Insurance, especially Lloyds of London Market.
  • Experience in data modeling, data architecture, or enterprise data design.
  • Deep expertise in relational, dimensional, and canonical data modeling techniques.
  • Strong experience with data modeling tools such as Erwin, ER/Studio, SqlDBM or SQL DB-native modeling tools.
  • Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions.
  • Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems.
  • Solid understanding of data governance, data quality, and master data management principles.
  • Familiarity with data privacy, compliance, and security standards (e.g., GDPR, PCI-DSS).
  • Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical specifications.
  • Understanding of technology trends and implications on the FS industry, including data platforms, digital drivers, cloud architecture, integration tools & approaches, AI methods & techniques, and the challenges faced in establishing effective delivery of value across the business.
  • Demonstrable interest and awareness in emerging technologies.

We are looking for highly motivated individuals who are passionate about Data and Analytics and want to assist clients to become truly data-driven organisations. If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead within a large practice, and are eager to work in highly complex sectors, our AI and Data team is looking forward to hearing from you.

What working at EY offers:

  • A competitive remuneration package where you’ll be rewarded for your individual and team performance.
  • Support for flexible working and career development.
  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching, and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It’s yours to build. Apply now.

Senior Consultant, Data Modelling B14,Speciality Insurance employer: Job Traffic

At EY, we pride ourselves on being an exceptional employer, particularly for those in the Senior Consultant role within our AI & Data team in London. Our vibrant work culture fosters collaboration and innovation, offering extensive opportunities for professional growth and development in the rapidly evolving field of data modelling and specialty insurance. With a competitive remuneration package, flexible working options, and a commitment to diversity and inclusion, we empower our employees to make a meaningful impact while enjoying a fulfilling career.
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Contact Detail:

Job Traffic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Consultant, Data Modelling B14,Speciality Insurance

✨Tip Number 1

Familiarise yourself with the latest trends in data modelling and AI within the Specialty Insurance sector. This will not only help you understand the market better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals already working in the Financial Services AI & Data field, especially those focused on Specialty Insurance. Attend industry events or webinars to make connections that could lead to referrals.

✨Tip Number 3

Showcase your hands-on experience with cloud platforms like Azure, AWS, or GCP by discussing relevant projects you've worked on. Be prepared to explain how you optimised data models for performance in these environments.

✨Tip Number 4

Prepare to discuss your understanding of data governance and compliance standards such as GDPR. Being able to articulate how these principles apply to data modelling will set you apart from other candidates.

We think you need these skills to ace Senior Consultant, Data Modelling B14,Speciality Insurance

Data Modelling
Data Architecture
Enterprise Data Design
Relational Data Modelling
Dimensional Data Modelling
Canonical Data Modelling
Data Modelling Tools (e.g., Erwin, ER/Studio, SqlDBM)
Cloud Data Platforms (e.g., Azure Synapse, Snowflake, GCP BigQuery)
SQL Proficiency
Data Warehousing
Lakehouses
OLTP/OLAP Systems
Data Governance
Data Quality Management
Master Data Management Principles
Data Privacy Compliance (e.g., GDPR, PCI-DSS)
Analytical Skills
Problem-Solving Skills
Technical Specification Translation
Understanding of Technology Trends in Financial Services
Emerging Technologies Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data modelling and the specialty insurance sector. Use specific examples that demonstrate your expertise in AI and data solution design.

Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your passion for data and analytics, as well as your understanding of the financial services industry. Mention how your skills align with the responsibilities listed in the job description.

Showcase Technical Skills: In your application, emphasise your proficiency with data modelling tools and cloud platforms mentioned in the job description. Provide examples of projects where you successfully implemented these technologies.

Highlight Problem-Solving Abilities: Demonstrate your advanced problem-solving skills by including specific instances where you translated complex business requirements into effective data solutions. This will show your capability to handle the challenges of the role.

How to prepare for a job interview at Job Traffic

✨Understand the Specialty Insurance Landscape

Familiarise yourself with the key players and trends in the Specialty Insurance sector, particularly Lloyd's of London. This knowledge will help you demonstrate your expertise and show that you're genuinely interested in the field during the interview.

✨Showcase Your Data Modelling Skills

Be prepared to discuss your experience with data modelling tools like Erwin or SQL DB-native tools. Highlight specific projects where you've successfully designed and implemented data models, and be ready to explain your thought process and the outcomes.

✨Communicate Complex Ideas Clearly

Practice explaining complex data concepts in simple terms. The ability to communicate effectively with both technical and non-technical stakeholders is crucial, so think of examples where you've successfully done this in the past.

✨Demonstrate Problem-Solving Abilities

Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.

Senior Consultant, Data Modelling B14,Speciality Insurance
Job Traffic
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  • Senior Consultant, Data Modelling B14,Speciality Insurance

    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-06-23

  • J

    Job Traffic

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