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Data Scientist

SC Cleared or Eligible | £600-£700 per day | Inside IR35

📍 Barrow-in-Furness 🏠 Hybrid Working 📅 Contract until December 2026 (Highly Likely Extension)

We are seeking an experienced Data Scientist to join a major programme delivering advanced analytics and AI-driven solutions within a secure and highly regulated environment.

This role offers the opportunity to work on cutting-edge machine learning and data science initiatives, helping transform complex datasets into actionable insights and intelligent solutions that deliver real business value.

Initially, the successful candidate will be required onsite 2-3 days per week, transitioning to approximately one week per month onsite following the onboarding period.

The Role

As a Data Scientist, you will be responsible for designing, developing, and deploying machine learning models and data-driven solutions. You will work closely with technical teams, stakeholders, and end users to understand requirements, identify opportunities, and deliver robust analytical capabilities.

The role combines hands-on model development with stakeholder engagement, experimentation, and the ongoing optimisation of AI and data science solutions.

Key Responsibilities

* Design, develop and deploy machine learning and AI solutions
* Analyse complex datasets to identify trends, patterns and business opportunities
* Build predictive models and data science solutions to address operational challenges
* Prepare, cleanse and engineer data for advanced analytics and modelling
* Evaluate and optimise model performance using appropriate metrics and testing methodologies
* Create insightful visualisations and presentations to communicate findings effectively
* Collaborate with engineers, analysts and stakeholders throughout the development lifecycle
* Produce high-quality technical documentation and model artefacts
* Support solution testing, validation and continuous improvement activities
* Contribute to best practices across data science, analytics and AI development

Required Experience

* Strong commercial experience as a Data Scientist
* Proven experience developing and deploying machine learning models in production environments
* Experience using Python for data science and analytics
* Strong knowledge of machine learning frameworks and libraries
* Experience with statistical modelling, predictive analytics and data exploration
* Strong data preparation, feature engineering and model evaluation skills
* Experience working with large and complex datasets
* Ability to communicate technical concepts to both technical and non-technical stakeholders
* Experience creating visualisations and presenting analytical findings

Technical Skills

* Python
* Machine Learning
* Artificial Intelligence
* Pandas
* NumPy
* Scikit-learn
* TensorFlow and/or PyTorch
* Data Visualisation (Matplotlib, Seaborn, Plotly)
* Statistical Analysis
* Model Evaluation & Optimisation

Contract Details

* Contract until December 2026
* Likely Extension
* £600-£700 per day
* Inside IR35
* Barrow-in-Furness
* 2-3 Days Per Week Onsite Initially
* Reducing to One Week Per Month Onsite
* Active SC Clearance or Eligibility to Obtain SC Clearance Required

Contract GCP Data Engineer - £700/pd Outside IR35

Contract: Outside IR35
Rate: £700 per day
Duration: 4 weeks (strong potential for extension)
Location: Central London (client‑based role)
Start Date: Immediate

Role Overview

We are working with a central London-based insurance broker who requires an experienced GCP Data Engineer to support a critical short‑term engagement, with a strong likelihood of follow‑on work.

This role will suit a hands‑on engineer who can quickly embed into an existing data team, take ownership of delivery, and add immediate value within a fast‑paced commercial environment.

Key Responsibilities

* Design, build, and maintain data pipelines on Google Cloud Platform (GCP).
* Work with services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions.
* Support ingestion, transformation, and optimisation of data for analytics and reporting use cases.
* Collaborate closely with analytics, data science, and engineering stakeholders.
* Ensure data quality, performance, and security best practices are applied.
* Troubleshoot and resolve data platform issues efficiently.

Skills & Experience Required

* Strong commercial experience as a GCP Data Engineer.
* Hands‑on expertise with BigQuery and modern data pipeline architectures.
* Solid SQL skills and experience with Python (or similar) for data engineering tasks.
* Understanding of data modelling, ETL/ELT patterns, and cloud‑native best practices.
* Experience working in financial services or insurance environments is highly desirable.
* Ability to start immediately and deliver with minimal onboarding.

Engagement Details

* Outside IR35
* £700 per day
* Initial 4‑week contract, with strong potential for extension
* Based with a Central London insurance broker
* Immediate start required

To apply for this role please submit your CV or contact David Airey on 0191 338 7508 or at d.airey@tenthrevolution.com.

Data Engineer (Microsoft Fabric / Azure) | 6-Month Contract | Outside IR35 | £400 per Day

We're supporting a client who is looking for a Data Engineer to join them on an initial 6-month contract, operating Outside IR35, paying £400 per day.

This role will suit someone with experience designing and developing modern data solutions within the Microsoft ecosystem, working closely with both technical and business stakeholders to deliver scalable reporting and analytics capabilities.

Key Skills & Experience

* 2-5 years' experience in a Data Engineer or similar role
* Strong experience across the Microsoft data stack, including:

* Microsoft Fabric
* Azure Data Factory
* Azure Synapse Analytics
* Azure SQL / SQL Server
* Power BI

* Strong understanding of:

* Data warehousing
* Data modelling
* ETL/ELT processes
* Data integration

* Advanced SQL skills
* Ability to engage with stakeholders and translate business requirements into technical solutions
* Strong analytical and problem-solving mindset

Desirable

* Microsoft Certifications:

* Fabric Analytics Engineer Associate
* Azure Data Engineer Associate
* Power BI Data Analyst Associate

* Experience with:

* Python
* DAX
* Power Query M

Contract Details

* Duration: 6 Months
* Rate: £400 per day
* IR35 Status: Outside IR35

If you're interested, please apply with your latest CV for further details.

Data Engineer - Salesforce Integration Specialist

6-Month Contract | £450/day | Outside IR35 📍 King's Cross, London (2-3 Days per Week Onsite) 📅 Start Date: 3rd August

We're supporting a leading Salesforce Partner on a confidential end-client engagement and are looking for an experienced Data Engineer with strong Salesforce integration expertise.

This role will be focused on building and supporting data integration solutions with Salesforce at the centre of the architecture, connecting multiple business systems and data sources through scalable, reliable pipelines.

The Role

You will be responsible for designing, developing and maintaining data flows into and out of Salesforce, helping to ensure business-critical data is available, accurate and synchronised across the wider technology estate.

Working alongside Salesforce Consultants, Architects and technical stakeholders, you'll play a key role in delivering complex integration solutions and enabling seamless connectivity between platforms.

Key Responsibilities

* Build and maintain data pipelines integrating Salesforce with internal and third-party systems
* Design ETL/ELT processes for data ingestion, transformation and synchronisation
* Develop and support API-led integrations and data services
* Deliver batch and real-time data integration solutions
* Ensure data quality, governance and integrity across integrated systems
* Work closely with Salesforce teams to support platform enhancements and ongoing projects
* Troubleshoot integration issues and optimise performance
* Contribute to integration architecture and best practices

Required Experience

* Strong commercial experience as a Data Engineer
* Proven experience integrating Salesforce with enterprise systems and applications
* Experience building and maintaining scalable data pipelines
* Strong SQL and data transformation skills
* Experience working with REST and SOAP APIs
* Strong understanding of integration patterns and data architecture
* Experience handling complex datasets from multiple sources
* Excellent stakeholder engagement and communication skills

Highly Desirable

* MuleSoft
* Salesforce APIs (REST, SOAP, Bulk API, Platform Events)
* Experience with middleware and iPaaS platforms
* Python or other scripting languages
* Data modelling and master data management
* Event-driven and real-time integration architectures
* Previous experience working within a Salesforce consultancy or partner environment

Contract Details

* 6-Month Initial Contract
* £450 per day
* Outside IR35
* Start Date: 3rd August
* King's Cross, London
* 2-3 Days Per Week Onsite

Contract Data Architect (Insurance & Pensions)

📢 URGENT REQUIREMENT
Interviews taking place immediately with a view to commencing Monday 27th July.

Location: Fully Remote (occasional travel to London)
Contract Length: 6 Months Initial Contract
Day Rate: £600-£650 per day
Engagement: Outside IR35
Start Date: Monday 27th July

Overview

We are seeking an experienced Data Architect to join a high-profile data modernisation programme within the insurance and pensions sector. This consultant will play a critical role in defining the target-state data architecture, supporting the migration of legacy data estates into a modern cloud-native platform, and shaping the architectural standards that underpin enterprise-wide data transformation.

This is an ideal opportunity for a Data Architect with strong insurance or pensions experience, a deep understanding of modern data platforms, and the ability to engage effectively with both technical and business stakeholders.

Key Responsibilities

* Lead discovery, assessment and technical design activities for large-scale data modernisation programmes.
* Define conceptual architectures, logical data models and detailed low-level designs (LLDs).
* Design target-state Lakehouse and Medallion architectures, including Bronze, Silver and curated data product layers.
* Develop migration strategies for transitioning legacy and mainframe-based datasets into modern cloud-native platforms.
* Define data ingestion, profiling, mapping, validation, reconciliation and governance processes.
* Produce canonical data models across policy, member, scheme, contribution, benefit, payment, adjustment and reporting domains.
* Design scalable API and microservices-based integration patterns.
* Establish data quality, reconciliation and control frameworks to support regulatory and operational reporting.
* Produce architecture artefacts including:

* Solution designs
* Data models
* Source-to-target mappings
* API specifications
* Security models
* Migration plans
* Runbooks

* Work closely with engineering, platform, security and operations teams to ensure solutions are scalable, secure and production-ready.
* Provide architectural leadership and engage with stakeholders at all levels across business and technology functions.

Essential Experience

* Extensive experience as a Data Architect within insurance or pensions.
* Strong understanding of insurance and pension data domains.
* Proven delivery of enterprise-scale data architecture and modernisation programmes.
* Experience designing modern cloud-native data platforms.
* Strong knowledge of Lakehouse and Medallion architecture patterns.
* Experience migrating legacy, on-premise or mainframe data platforms into cloud environments.
* Ability to create conceptual architecture, logical data models and detailed LLDs.
* Strong understanding of enterprise data modelling and canonical data structures.
* Experience designing API-led and microservices architectures.
* Excellent stakeholder management and communication skills.
* Strong understanding of data governance, data quality, reconciliation and regulatory reporting requirements.

Highly Desirable

* Experience with:

* Bulk Purchase Annuities (BPA)
* Pension Risk Transfer
* Actuarial Reporting
* Scheme Administration Data
* Regulatory Reporting
* Operational Analytics

* Experience within highly regulated financial services environments.
* Exposure to enterprise data engineering and cloud transformation initiatives.

Key Skills

* Data Architecture
* Insurance & Pensions
* Data Modernisation
* Cloud Data Platforms
* Lakehouse Architecture
* Medallion Architecture
* Data Modelling
* Legacy/Mainframe Migration
* Conceptual Architecture
* Low-Level Design (LLD)
* APIs & Microservices
* Data Governance
* Data Quality & Reconciliation
* Stakeholder Management
* Solution Design

BI Analyst (Contract) | Mayfair, London | Hybrid

BI Analyst Contract: 2 Months (Initial) Location: Mayfair, London (3-4 days per week onsite) Day Rate: Competitive

We're working with a fast-paced and data-driven organisation looking for an experienced BI Analyst to join the team on an initial 2-month contract. This is an excellent opportunity to work closely with business stakeholders, transforming complex data into actionable insights that drive decision-making across the organisation. This contract uis likely to extend beyond the 2 months if the project goes well.

Key Responsibilities

* Gather and analyse business requirements from key stakeholders.
* Develop and maintain insightful dashboards and reports in Tableau.
* Extract, transform and analyse data from Snowflake data warehouses.
* Work alongside Engineering and Data teams to improve reporting and data accessibility.
* Translate complex datasets into clear business recommendations.
* Support ongoing BI and analytics initiatives across the business.
* Ensure data quality, governance and reporting accuracy.

Required Experience

* Strong experience as a BI Analyst, Data Analyst or Analytics Consultant.
* Advanced Tableau dashboard development skills.
* Hands-on experience working with Snowflake.
* Strong SQL and data modelling capabilities.
* Experience working within modern cloud environments.
* Ability to communicate effectively with both technical and non-technical stakeholders.
* Previous experience delivering insights in a fast-moving business environment.

Desirable Skills

* Experience with Azure and/or AWS.
* Knowledge of dbt.
* Exposure to AI tools such as Claude.
* Experience using GitHub for version control and collaboration.
* Understanding of modern data platform and analytics best practices.

Working Arrangements

* Hybrid working model with 3-4 days per week onsite in Mayfair.
* Flexibility around office attendance can increase over time based on performance and team requirements.
* Immediate start preferred.