Data Scientist - up to £450/day Outside IR35 - Hybrid
Job description
Data Scientist
Rate: up to £450/day Outside IR35
Contract Length: 6 Months + Likely Extension
Location: Hybrid - 1 day per week onsite in Central London
Working Hours: 37.5/week
An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.
The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support.
Responsibilities for the Data Scientist:
- Develop statistical models machine learning solutions analytical frameworks to address complex business problems
- Explore large structured semi-structured datasets to identify patterns trends predictive signals
- Build test refine models using modern data science libraries within cloud-based platforms
- Translate analytical outputs into clear insights recommendations for technical non-technical stakeholders
- Work closely with data engineers analysts to ensure models are production-ready scalable
- Validate model performance manage bias ensure outputs are robust explainable reliable
- Contribute to continuous improvement of data science practices tooling governance
Essential Skills for the Data Scientist:
- Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar
- Solid grounding in statistics probability machine learning techniques
- Proven experience working within cloud environments such as AWS Azure or GCP
- Experience working with SQL large analytical datasets
- Ability to clearly communicate complex analytical concepts to a broad audience
- Strong problem-solving skills with a delivery-focused mindset
- Relevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative discipline
Desirable Skills for the Data Scientist:
- Experience with deep learning frameworks advanced modelling techniques
- Familiarity with MLOps concepts model monitoring deployment pipelines
- Exposure to tools such as Databricks MLflow feature stores
- Experience working in Agile product-led delivery environments
- Understanding of data governance ethics model explainability
- Relevant professional certifications relating to cloud data platforms machine learning or analytics
If you are a Data Scientist with strong technical depth plus cloud experience relevant qualifications plus a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract please apply in the immediate instance.
Data Scientist
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Job title: 2nd Line Support EngineerLocation: Central London (Hybrid) Contract Lenght: 6 months + Extensions Start Date: ASAP Working hours: 8:00am to 5:00pmDay Rate: up to £250 a Day inside IR35A client of ours are looking for a 2nd Line Support Engineer to support their clients with a mixture of BAU and project work. The successful 2nd Line Support Engineer will be joining a fast-paced environment and a supportive team. The role will focus on troubleshooting issues, supporting users and maintaining IT systems.They are seeking someone who is a quick learner, has a great attitude and excellent communication skills. The 2nd Line Support Engineer will have the opportunity to support a variety of different environments and users, working across a broad Microsoft-focused technology stack.Essential skills - 2nd Line Support Engineer:Windows 10 & 11 supportActive Directory / Entra ID - user administration and group policiesOffice 365 - mailbox creation, email flow, distribution lists and security groupsIntune - managed laptops and mobile devicesBasic networking knowledge - TCP/IP, DNS, DHCPExperience handling escalations from 1st LineDesirable skills - 2nd Line Support Engineer:Azure - administrationProject experienceMicrosoft certificationsPowerShell (basic)MSP experience If you are keen to work with a variety of technologies and continue developing your skillset, then please apply with a copy of your most up to date CV.
Data Scientist Rate: up to £450/day Outside IR35 Contract Length: 6 Months + Likely Extension Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5/weekAn established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support.Responsibilities for the Data Scientist:Develop statistical models machine learning solutions analytical frameworks to address complex business problemsExplore large structured semi-structured datasets to identify patterns trends predictive signalsBuild test refine models using modern data science libraries within cloud-based platformsTranslate analytical outputs into clear insights recommendations for technical non-technical stakeholdersWork closely with data engineers analysts to ensure models are production-ready scalableValidate model performance manage bias ensure outputs are robust explainable reliableContribute to continuous improvement of data science practices tooling governanceEssential Skills for the Data Scientist:Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similarSolid grounding in statistics probability machine learning techniquesProven experience working within cloud environments such as AWS Azure or GCPExperience working with SQL large analytical datasetsAbility to clearly communicate complex analytical concepts to a broad audienceStrong problem-solving skills with a delivery-focused mindsetRelevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative disciplineDesirable Skills for the Data Scientist:Experience with deep learning frameworks advanced modelling techniquesFamiliarity with MLOps concepts model monitoring deployment pipelinesExposure to tools such as Databricks MLflow feature storesExperience working in Agile product-led delivery environmentsUnderstanding of data governance ethics model explainabilityRelevant professional certifications relating to cloud data platforms machine learning or analyticsIf you are a Data Scientist with strong technical depth plus cloud experience relevant qualifications plus a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract please apply in the immediate instance. Data Scientist
Job title: System Administrator Location: Central London (Hybrid) Contract length: 6 months + extension Start date: ASAP Working hours: 9:00am to 5:00pm Day rate: up to £400 a Day insideA client of ours are looking for an experienced System Administrator to support their internal users and infrastructure on a contract basis. The successful System Administrator will be responsible for maintaining, supporting and improving a busy IT environment, working across BAU support and project-based work.They are seeking someone who is confident, proactive and able to hit the ground running, with strong communication skills and a solid technical background. The System Administrator will be exposed to a wide range of technologies and will play a key role in ensuring systems remain secure, stable and scalable.Essential skills - System Administrator:Windows Server administration (2016, 2019, 2022)Active Directory & Entra ID - user administration, group policiesOffice 365 / Microsoft 365 - mailbox management, email flow, security groupsAzure - administration and supportIntune - device management (Windows & iOS)Networking fundamentals - TCP/IP, VLANs, access portsStrong troubleshooting and documentation skillsDesirable skills - System Administrator:PowerShell scriptingMicrosoft certificationsBackup & disaster recovery solutionsSecurity tools / email security (e.g. Barracuda)Project experience (migrations, upgrades, rollouts)If you are an experienced System Administrator looking for a contract role working with a variety of technologies, please apply with a copy of your most up to date CV.
Data Analyst Rate: up to £325/day Outside IR35 Contract Length: 6 Months + Ext Location: Hybrid - 1 day per week onsite in Central London Working Hours: 37.5 An established organisation is seeking a Data Analyst to join a growing data function supporting the delivery of insight-led decision making across the business. This is a hands-on contract role suited to a technically strong analyst who is comfortable working with modern analytics tooling clean data models plus stakeholder-facing outputs.The Data Analyst will work closely with technical plus non-technical teams to transform raw data into trusted insight leveraging contemporary analytics platforms plus best-practice approaches to data modelling visualisation reporting.Responsibilities for the Data Analyst:Analyse model interpret complex datasets to deliver clear actionable insights that support business decision-makingBuild maintain scalable reporting analytics solutions using modern BI analytics toolsWork with structured semi-structured data sources ensuring data quality consistency reliabilityDevelop reusable datasets semantic models to support self-service analyticsCollaborate with stakeholders to understand reporting requirements translate them into effective analytical outputsSupport ongoing improvement of analytics processes tooling data governance standardsContribute to adoption of modern analytics practices including automation version-controlled workflowsEssential Skills for the Data Analyst:Strong experience in data analysis using SQL with ability to write performant well-structured queriesExperience building dashboards reports using modern BI tools (Power BI Tableau Looker or similar)Solid understanding of data modelling concepts including star schemas analytical datasetsExperience working with cloud-based data platforms modern data stacksAbility to communicate insights clearly to both technical non-technical stakeholdersStrong analytical mindset with excellent attention to detailDesirable Skills for the Data Analyst:Experience using Python for data analysis transformation automationExposure to cloud data platforms such as Azure AWS GCPFamiliarity with modern analytics engineering tools (dbt or similar)Experience working in Agile delivery environmentsUnderstanding of data governance data quality frameworks metric standardisationIf you are a Data Analyst with strong technical capability plus experience working with modern analytics technologies who is looking for a flexible Outside IR35 contract with a hybrid working arrangement please apply in the immediate instance.
EUC Engineer - 6 Month Contract - DV ClearedRate: £340 per dayIR35: InsideDuration: 6 monthsLocation: Milton KeynesThe role:A leading Central Government department are seeking an EUC Hardware Engineer, to provide hardware and deskside support. This is an initial 6-month contract. DV Clearance requiredSkills and ExperienceProficient in diagnosing and resolving hardware issues across laptops, desktops, and peripheral devices.Strong understanding of hardware architecture, component compatibility.Knowledge of secure hardware handling practices, including data sanitization and destruction protocols.Demonstrated experience in hardware installation, configuration, and lifecycle management in enterprise or government environments.Previous work in secure or classified environments, adhering to strict data protection and confidentiality requirements.Hands-on experience with secure disposal of data-bearing devices in compliance with organisational and legal standards.Proven track record of collaborating with cross-functional teams to deliver integrated hardware solutions.Experience managing hardware assets within ITIL or similar service management frameworks.Responsibilities:Responsible for building and supporting of hardware systems across the organization.Covers end-to-end hardware lifecycle management, including procurement, configuration, testing, and secure disposal.Works closely with internal teams to ensure seamless integration of hardware solutions.Supports both on-site and remote environments and users, ensuring compliance with security and operational standards.Deliver reliable and secure hardware solutions that meet organisational requirements and performance.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.
Azure Data EngineerRate - up to £350/day Outside IR35Location - 2 days a week onsite in Central LondonDuration - 6 Months + Likely ExtensionWe are working with a well-established consultancy supporting a high-impact data transformation programme for an end client based in Central London. They are seeking an experienced Azure Data Engineer to join the project on an initial 6-month contract, with strong potential for extension. Key Responsibilities - Azure Data Engineer:Design, build and maintain scalable and secure data pipelines on the Azure platform.Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics.Optimise ETL/ELT processes to improve performance, reliability and efficiency.Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs.Collaborate with Data Architects, Analysts, and stakeholders to define data models and ensure best practices in data engineering.Ensure compliance with data governance and security policies (incl. GDPR and ISO standards).Required Skills & Experience - Azure Data Engineer:Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in AzureAzure Data FactoryAzure Databricks (PySpark)SQL & PythonUnderstanding of CI/CD in a data environment, ideally with tools like Azure DevOps.Experience working within consultancy or client-facing projects is highly desirable.Interested? Apply now with your CV or reach out to discuss the opportunity further. This is a highly sought-after role for a consultant who wants to contribute to a major Azure-led data transformation programme. Data Engineer, Azure Data Engineer, Senior Data Engineer
AWS Data Engineer Rate: Up to £325 per day (Outside IR35) Contract Length: 6 Months (with strong potential for extension) Location: Hybrid - 1 day per week onsite in Central London A leading organisation is seeking an experienced AWS Data Engineer to join their data and analytics team, contributing to the design, development and optimisation of large-scale data solutions within a modern cloud environment. This contract offers the opportunity to work on high-impact projects, delivering data platforms and pipelines that drive real-time insights and strategic business decisions.Responsibilities for the AWS Data Engineer:Design, build and maintain scalable data pipelines and architectures within the AWS ecosystemLeverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storageWork closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutionsImplement and optimise ETL/ELT processes, ensuring data integrity, consistency and quality across multiple sourcesApply best practices in data modelling, version control, and CI/CD to deliver maintainable and reusable codeMonitor data performance and reliability, proactively identifying opportunities to enhance efficiency and scalabilitySupport the integration of data from diverse systems, including APIs and third-party platforms, into a unified architectureEnsure compliance with data governance, privacy and security policies throughout all stages of developmentCollaborate in an Agile environment, contributing to sprint planning, peer reviews and continuous improvement initiativesEssential Skills for the AWS Data Engineer:Extensive hands-on experience with AWS data services Strong programming skills in Python Solid understanding of data modelling, warehousing and architecture design within cloud environmentsExperience building and managing ETL/ELT workflows and data pipelines at scaleProficiency with SQL and working knowledge of relational and non-relational databasesExperience deploying data infrastructure using IaC tools such as Terraform or CloudFormationUnderstanding of DevOps and CI/CD pipelines for data engineering solutionsStrong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teamsDesirable Skills for the AWS Data Engineer:Experience with Databricks, Kafka, or Kinesis for real-time data streamingKnowledge of containerisation (Docker, ECS) and modern orchestration tools such as AirflowFamiliarity with machine learning model deployment pipelines or data lakehouse architecturesData Engineer, AWS Data Engineer
EUC Engineer - 6 Month Contract - DV ClearedRate: £340 per dayIR35: InsideDuration: 6 monthsLocation: Milton KeynesThe role:A leading Central Government department are seeking an EUC Hardware Engineer, to provide hardware and deskside support. This is an initial 6-month contract. DV Clearance requiredSkills and ExperienceProficient in diagnosing and resolving hardware issues across laptops, desktops, and peripheral devices.Strong understanding of hardware architecture, component compatibility.Knowledge of secure hardware handling practices, including data sanitization and destruction protocols.Demonstrated experience in hardware installation, configuration, and lifecycle management in enterprise or government environments.Previous work in secure or classified environments, adhering to strict data protection and confidentiality requirements.Hands-on experience with secure disposal of data-bearing devices in compliance with organisational and legal standards.Proven track record of collaborating with cross-functional teams to deliver integrated hardware solutions.Experience managing hardware assets within ITIL or similar service management frameworks.Responsibilities:Responsible for building and supporting of hardware systems across the organization.Covers end-to-end hardware lifecycle management, including procurement, configuration, testing, and secure disposal.Works closely with internal teams to ensure seamless integration of hardware solutions.Supports both on-site and remote environments and users, ensuring compliance with security and operational standards.Deliver reliable and secure hardware solutions that meet organisational requirements and performance.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.