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For Permanent in London

New

Senior Business & Data Analyst

England, London

  • £75,000 to £90,000 GBP
  • Consultant Role
  • Skills: Azure, SQL, Insurance
  • Seniority: Senior

Job description

Senior Business & Data Analyst - Insurance

Location: London (Hybrid)
Type: Permanent

Overview

A specialist insurance organisation is seeking a Senior Business & Data Analyst to support complex data and system transformation programmes within the London Market. This role sits at the intersection of business, data, and technology, requiring strong analytical capability alongside confident senior stakeholder engagement.

Key Responsibilities

* Lead end-to-end business and data analysis across underwriting, pricing, policy administration, claims, and reinsurance
* Analyse, profile, and validate complex insurance datasets using SQL
* Define data mappings, business rules, and transformation logic
* Conduct data quality assessments and support reconciliation activities
* Facilitate workshops with business and technical stakeholders
* Act as a bridge between underwriting, claims, finance, operations, and technology teams
* Support agile delivery across multi-disciplinary teams

Required Experience:

* Proven experience as a Senior Business Analyst / Data Analyst within London Market or Lloyd's insurance
* Strong domain knowledge across Syndicates, Delegated Authority, Reinsurance underwriting and claims
* Strong SQL experience for hands-on data analysis
* Experience working on data-led transformation or platform modernisation initiatives
* Confident engaging senior business and technology stakeholders

Why Apply?

* High-impact role within complex London Market environments
* Opportunity to shape data-driven transformation
* Strong stakeholder exposure and long-term programme work

New

Senior Data Architect

England, London

  • £75,000 to £90,000 GBP
  • Consultant Role
  • Skills: Databricks, Azure, Insurance
  • Seniority: Senior

Job description

Senior Data Architect - Insurance & London Market

Location: London (Hybrid)


Overview

An established insurance organisation is looking for a Senior Data Architect to take ownership of enterprise and solution-level data architecture across London Market insurance domains. This role combines deep insurance expertise with modern cloud, analytics, and data platform architecture.

Key Responsibilities:

* Define and govern enterprise data architecture aligned to business strategy
* Design modern cloud-based data platforms using Medallion Architecture
* Produce and maintain conceptual, logical, and physical data models
* Act as a design authority, presenting architecture options and recommendations
* Define data integration and data product strategies
* Embed data governance, quality, lineage, and master data principles
* Support advanced analytics and AI-enabled data use cases

Required Experience:

* Extensive experience as a Senior / Lead Data Architect within Insurance and the London Market
* Strong knowledge of Lloyd's ecosystem, syndicates, DA, reinsurance, underwriting, and claims
* Proven expertise in cloud data platforms (Azure, AWS, or GCP)
* Strong understanding of modern data architecture patterns and data modelling
* Experience operating at enterprise or cross-domain level
* Excellent senior stakeholder communication skills

Why Apply?

* Strategic, high-visibility architecture role
* Influence long-term data and analytics direction
* Work on large-scale, complex insurance transformations

VP Trade Data Lead Business Analyst

England, London

  • £90,000 to £100,000 GBP
  • Consultant Role
  • Skills: Data Engineering
  • Seniority: Senior

Job description

VP Data Lead Business Analyst - Banking

Location: London
Salary: Up to £100,000 + bonus

A leading Bank is seeking a VP Data Lead Business Analyst to join a brand‑new function within their central data organisation. This is a strategic role positioned at the heart of the bank's data ecosystem, supporting global trading functions and driving the evolution of a key enterprise‑wide data platform.

About the Role:

You will sit within the central data team responsible for the bank‑wide data store used for all trade capture across the Investment Bank. With 70 projects running annually, this is a high‑impact, fast‑moving environment where you will work across multiple asset classes and be involved in both short‑term and long‑term transformation initiatives.

* Supporting the migration and onboarding of internal consumers onto the central data store.
* Conducting analysis on data needs, flows, and integration requirements.
* Partnering with global business and technology teams as the function scales.

Longer‑term, the team is also beginning to explore AI/ML capabilities, giving excellent exposure to emerging initiatives.

What they're Looking for:

* Experience working within Investment Banking, ideally covering Equity Derivatives, FX, Securities, or Rates.
* Strong understanding of trade lifecycle, derivatives concepts, and market data.
* Ability to work in a central data or cross‑asset environment, managing multiple stakeholders.
* A proactive, analytical mindset suited to a high‑volume project pipeline.

Why Apply:

* Join a brand‑new hire in a strategically important function.
* Step up into a VP‑level role with senior leadership visibility.
* Influence the data strategy for an Investment Bank undergoing major modernisation.
* Work across all trading areas while shaping how consumers interact with the firm's core data platform.

Data Science Engineer

England, London

  • £60,000 to £80,000 GBP
  • Consultant Role
  • Skills: AWS, Machine Learning, Azure
  • Seniority: Mid-level

Job description

Data Science Engineer (DV Cleared)

Location: London or Manchester
Security Clearance: DV Cleared
Salary: Up to £80,000

An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases.

This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment.



What You'll Be Doing:

* Designing, building and maintaining scalable data processing and integration services
* Supporting Data Science and Machine Learning workloads through well‑engineered software solutions
* Developing high‑quality, testable code using modern engineering practices
* Working within secure cloud‑hosted environments
* Collaborating closely with technical and non‑technical stakeholders



What We're Looking For

Essential:

* Strong interest in data, particularly Data Science and Machine Learning
* Solid software engineering background with experience in Java, Python or TypeScript
* Hands‑on experience with cloud platforms
* DV Clearance in place



Location & Working Pattern:

* Candidates must be aligned to either London or Manchester
* Hybrid working
* On‑site attendance is required to meet client needs





Benefits Package:

* 9% non‑contributory pension
* Private healthcare
* 25 days annual leave
* Life insurance
* And more



If you're a DV‑cleared engineer passionate about data‑driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long‑term development.

Senior Databricks Data Engineer - London - Insurance - £100K

England, London

  • £80,000 to £100,000 GBP
  • Consultant Role
  • Skills: Senior Databricks Data Engineer - London - Insurance - £100K
  • Seniority: Senior

Job description

Senior Databricks Data Engineer - London - Insurance - £100K

Are you ready to take your career to the next level in a rewarding environment that values your expertise?

We are seeking a Senior Azure Databricks Engineer for a permanent, hybrid role based in London. In this position, you will leverage Azure Databricks to drive innovative data solutions and contribute to enhancing our data engineering capabilities. This is an excellent opportunity for individuals who thrive in collaborative environments and are passionate about making an impact.

Key responsibilities include:
- Designing and implementing scalable data processing solutions using Azure Databricks.
- Collaborating with cross-functional teams to optimize data workflows.
- Ensuring data quality and governance across various pipelines.
- Mentoring and supporting junior data engineers to foster growth and innovation.

Requirements to be successful:

- Azure Data Services experience (including Azure ADF, Data Lake, Key Vault, Azure Functions and Databricks Delta Lake, PySpark and Unity Catalog)

- Experience within the Lloyds of London insurance market

If you are an experienced Azure Databricks engineer looking to make a meaningful contribution, we encourage you to apply for this exciting opportunity. Your skills could shape the future of data engineering with us.

Lead Data Modeller - Insurance

England, London

  • £100,000 to £110,000 GBP
  • Consultant Role
  • Skills: Data Engineering
  • Seniority: Senior

Job description

Data Modelling Lead, Associate Director - Insurance
Location: London or Manchester
Business Line: Technology & Transformation
Job Type: Permanent / FTC

Lead the Future of Data in Insurance
A leading global professional services organisation is seeking experienced Senior Data Modellers to join its Insurance Technology & Transformation practice as Data Modelling Leads (Associate Director level).
The insurance sector is undergoing rapid change, driven by the growing importance of data, analytics and AI. Organisations are rethinking how they manage, structure and use data-embracing decentralised approaches, modern platforms, and domain-oriented data products to unlock new value.
Data modelling sits at the heart of this transformation. A strong data design strategy enables insurers to modernise their operations, enhance customer outcomes, and build the foundations for advanced analytics, machine learning and AI.
This role offers the opportunity to shape those foundations and influence data strategy across major insurance organisations.

What You'll Do
As a Data Modelling Lead, you will guide the design of transformational data solutions across the insurance value chain. Working alongside architects, engineers and business leaders, you will define coherent, business-facing data models that support critical functions and strategic objectives.
Your responsibilities include:
* Analysing business and technical environments to derive insights that inform data models and data architecture.
* Delivering business-facing insurance data models that support transformation, analytics, AI, reporting and regulatory needs.
* Contributing to end-to-end data and solution architectures across insurance domains.
* Helping clients understand how data can address strategic challenges and unlock new opportunities.
* Leading senior stakeholder relationships and establishing a common language for data across complex organisations.
* Developing strategic roadmaps for Data & AI capabilities.
* Leading diverse, high-performing teams and fostering an inclusive, supportive culture.
* Owning workstreams and ensuring successful delivery of client engagements.
* Supporting go‑to‑market activity, proposals and the evolution of data and architecture offerings.
* Contributing to the growth of the Strategy, Governance & Architecture community and mentoring emerging talent.

What You'll Bring
Essential experience
* Strong consulting background with client-facing delivery experience.
* Experience contributing to proposals, presentations and pre-sales activities.
* Excellent analytical and problem-solving skills.
* Executive-level stakeholder management and relationship building.
* Deep functional knowledge in Insurance (e.g., Finance, Risk, Underwriting, Pricing, Claims, Asset Management).
* Proven leadership of multi-disciplinary teams and development of junior talent.
* Strong understanding of data solutions including data modelling, data management, data quality, MDM, reference data, analytics and BI.
* Experience in data solution architecture and design principles.
* Expertise in developing data models, data dictionaries, vocabularies, taxonomies or ontologies.
* Experience engaging both Business and IT stakeholders on large-scale programmes.
* Skilled in leading data design workshops and aligning data architecture across business units and geographies.
* Ability to quickly assimilate new techniques and apply them to business outcomes.
* Experience leading go‑to‑market activities including RFI/RFP responses.
* Commitment to inclusive team culture and people development.

Desirable experience
* Architecture certifications (e.g., TOGAF) or equivalent.
* Certifications or hands-on experience with modern Data & AI technologies (e.g., Microsoft Fabric, Snowflake, Databricks).
* Experience delivering Data Mesh or similar decentralised data frameworks.
* Experience designing data products for insurance.
* Understanding of Data Governance and platforms such as Collibra or Informatica.
* Experience managing cross-geography and offshore teams.
* Knowledge of regulatory frameworks such as GDPR, IFRS17, Solvency II.
* Experience establishing technical design authorities.
* Project management experience across agile and waterfall methodologies.

Please send me copy of your CV of you're interested

New

Head of AI

England, London

  • £90,000 to £115,000 GBP
  • Consultant Role
  • Skills: GenAI, Machine Learning, AI Engineering
  • Seniority: Senior

Job description

Head of AI

Type: Permanent

The Opportunity

A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity.



The Role

You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes are job‑ready, commercially relevant, and aligned to wider business goals.

You will also build and grow a global AI community, creating structured engagement and opportunities for collaboration, knowledge sharing, and mentorship. Insights from this ecosystem will directly influence learning outcomes and client-facing solutions.

As a subject matter expert, you'll support AI readiness assessments, client conversations, and AI go‑to‑market initiatives.

Key responsibilities include:

* Designing and curating AI learning pathways aligned to industry demand
* Building and nurturing a global AI practitioner and mentor community
* Supporting AI readiness frameworks and client capability assessments
* Contributing to AI go‑to‑market messaging, thought leadership, and pre‑sales activity



About You

* Background in AI, data, analytics, or related consulting / enablement roles
* Experience delivering AI learning, talent, or capability-building programmes
* Strong understanding of applied AI and GenAI trends
* Comfortable engaging senior stakeholders across technical and commercial teams



Why Apply

This is a high-impact opportunity to influence AI capability at scale within a globally connected organisation at the forefront of AI transformation.

New

Data Quality Analyst

England, London

  • £50,000 to £55,000 GBP
  • Consultant Role
  • Skills: Power BI, SQL, Python, Data Governance
  • Seniority: Mid-level

Job description

Data Quality Analyst

A global organisation undergoing significant digital and data transformation is looking for a Data Quality Analyst to join its growing data function. This role plays a critical part in ensuring data is accurate, consistent, and trusted across enterprise reporting and analytics.

You'll work closely with business stakeholders, data engineers, and product teams to identify data quality risks early, diagnose issues at source, and embed strong governance and quality practices across data platforms.

Key Responsibilities

* Partner with business stakeholders to identify and document data quality risks and requirements
* Perform hands-on data discovery, profiling, and validation at source
* Analyse root causes of data quality issues and support remediation
* Validate source-to-target mappings, transformations, and migration scripts
* Conduct reconciliation and post-migration quality checks
* Translate business needs into measurable data quality rules and tests
* Work with engineering teams to embed quality checks into pipelines
* Support data governance standards, policies, and compliance requirements

Skills & Experience

* Strong experience in data quality, data analysis, or data governance roles
* Hands-on experience with SQL and Python
* Experience working with modern data platforms
* Knowledge of data migration, reconciliation, and quality validation
* Understanding of data pipelines and engineering best practices
* Experience producing dashboards or reports (Power BI or equivalent)

What's on Offer

* Competitive salary and bonus
* Strong pension contribution
* Private medical cover and wellbeing support
* Flexible and hybrid working
* Excellent career development and learning opportunities