2nd Line Support Engineer - up to £42,000 - MSP

Job title: 2nd Line Support Engineer Salary: £37,000 - £42,000 + Benefits Location: City of London Working Hours: 9:00am - 5:30pm Working style: Fully Onsite Start date: ASAPWe are currently partnering with a rapidly growing Managed Service Provider at an exciting stage of their journey. Due to continued growth, they are looking to bring on an experienced 2nd Line Support Engineer to play a key role in delivering exceptional IT support to a diverse client base.As a 2nd Line Support Engineer, you will act as a key point of contact for clients, providing high-quality technical support and guidance across the service desk while also serving as the technical escalation point for 1st Line Engineers. The 2nd Line Support Engineer will be joining a close-knit, supportive team within an MSP that invests in its people. Internal progression is actively encouraged, with structured training, exposure to modern technologies and clear pathways into senior engineering roles.Essential skills - 2nd Line Support EngineerEntra ID & Active DirectoryGPO's & Conditional access policiesOffice 365ExchangeIntuneKnowledge of backups, cyber security, firewallsMSP experienceStrong written and verbal communication skillsDesirable Skills - 2nd Line Support EngineerNetworking - DNS, DHCP, VPN, VLANRelevant certificationsProject Experience This is an excellent opportunity to develop your career within a rapidly growing organisation. If this sounds like the right next step for you, please apply with your most up to date CV. IT Support Engineer, 2nd Line Engineer, Service Desk Engineer, Service Desk Analyst, Helpdesk Engineer, Service Desk, 2nd Line Support Engineer

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

Lead Knowledge Graph Engineer / Ontology Engineer - ContractDuration: 6 months (extendable)Rate: £600 per dayIR35: OutsideLocation: Remote with occasional travel to siteThe Role:A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer / Ontology Engineer, to support a range of initiatives throughout 2026.In this role, you will have the opportunity to:Harness W3C semantic standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious.Apply modern NLP/NLU techniques, from topic modelling to cutting?edge entity and relation extraction, plus concise text summarisation.Experience Requirements:Core semantic / graph techW3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL, SPARQL for modelling, validation and querying.Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores.Ontology and knowledge?graph frameworks, reasoning tools, and production deployment experience.Data pipelines and entity workETL/streaming or CDC pipelines feeding a knowledge graph.Entity resolution techniques, data cleansing, enrichment, and integration from many sources.Python + ML / NLP stackHigh quality production code in Python.Libraries such as NetworkX, TensorFlow or PyTorch, NLTK, spaCy, Hugging Face, BERT, Pandas, NumPy, scikit?learn.Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection.NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution.Visualization and communicationGraph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot, etc.Ability to translate complex graph or AI concepts to varied audiences.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Test Engineer - 6 Months - Remote - £450pd Inside IR35Rate: Competitive (Inside IR35)Duration: 6 monthsLocation: RemoteIR35: InsideThe role:A leading Government institution is looking for a Test Engineer to support the delivery of a new data services platform and APIs that enable external users to search open datasets.You'll assist in driving quality across deliverables, while helping embed modern, scalable testing practices. This is an initial 6-month contract, Inside IR35, primarily remote.Required Experience & SkillsStrong background in planning and delivering structured testing within complex data or integration-focused projectsExperience defining and implementing end-to-end test processes aligned to Agile delivery teamsAbility to produce detailed, reusable test artefacts including test plans, scenarios, scripts, and supporting documentationProven experience coordinating Integration Testing and End-to-End Testing across multiple components and teamsSkilled in identifying, logging, and managing defects and data quality issues through to resolutionExperience reporting on test progress, metrics, and overall product quality through summaries, dashboards, and reviewsGood understanding of security, performance, and accessibility testing, particularly within public sector or standards-driven environmentsExperience working with data integration and transformation tools such as MuleSoft and Talend (or similar enterprise data tooling)Ability to work closely with QA, product owners, developers, and business stakeholders to ensure requirements are fully testable and quality-ledStrong troubleshooting skills, with the ability to investigate application and test automation issuesExperience mentoring or supporting other team members in testing approaches and best practicesComfortable working in collaborative Agile/SCRUM environments If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

PMO Manager - SC Cleared - 6 Month ContractRate: £460 per dayIR35: InsideDuration: 6 months (extendable)Location: Milton Keynes (up to 3 days a week on-site)The role:A leading Government Institution are seeking a PMO Manager (SC Cleared), to work within a Technology Delivery function, helping to provide governance and assurance across all delivery.6-month initial contract, Inside IR35 - SC Cleared role.Essential Experience:7+ Years working within Project Delivery/Project Management Office environmentAbility to communicate & collaborate with others effectivelyWorking use of Microsoft Productivity Tools - Excel, Word, PowerPoint etcAbility to analyse and continually improve high quality programme governance artefacts, including delivery to senior stakeholdersExperience of delivering projects/programmes to Government and/or Defence, stakeholders in a secure environmentExcellent organisational and communication skills.Ability to manage multiple priorities and maintain attention to detail.Experience managing programme and project financesDesirable:Knowledge of Project Management toolsets, such as MS ProjectAssistant Project Manager/Project Manager backgroundExperience in PMO or project support within a complex programme environment. If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

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: 2nd Line Support Engineer Salary: £37,000 - £42,000 + Benefits Location: City of London Working Hours: 9:00am - 5:30pm Working style: Fully Onsite Start date: ASAPWe are currently partnering with a rapidly growing Managed Service Provider at an exciting stage of their journey. Due to continued growth, they are looking to bring on an experienced 2nd Line Support Engineer to play a key role in delivering exceptional IT support to a diverse client base.As a 2nd Line Support Engineer, you will act as a key point of contact for clients, providing high-quality technical support and guidance across the service desk while also serving as the technical escalation point for 1st Line Engineers. The 2nd Line Support Engineer will be joining a close-knit, supportive team within an MSP that invests in its people. Internal progression is actively encouraged, with structured training, exposure to modern technologies and clear pathways into senior engineering roles.Essential skills - 2nd Line Support EngineerEntra ID & Active DirectoryGPO's & Conditional access policiesOffice 365ExchangeIntuneKnowledge of backups, cyber security, firewallsMSP experienceStrong written and verbal communication skillsDesirable Skills - 2nd Line Support EngineerNetworking - DNS, DHCP, VPN, VLANRelevant certificationsProject Experience This is an excellent opportunity to develop your career within a rapidly growing organisation. If this sounds like the right next step for you, please apply with your most up to date CV. IT Support Engineer, 2nd Line Engineer, Service Desk Engineer, Service Desk Analyst, Helpdesk Engineer, Service Desk, 2nd Line Support Engineer

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

Lead Knowledge Graph Engineer / Ontology Engineer - ContractDuration: 6 months (extendable)Rate: £600 per dayIR35: OutsideLocation: Remote with occasional travel to siteThe Role:A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer / Ontology Engineer, to support a range of initiatives throughout 2026.In this role, you will have the opportunity to:Harness W3C semantic standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious.Apply modern NLP/NLU techniques, from topic modelling to cutting?edge entity and relation extraction, plus concise text summarisation.Experience Requirements:Core semantic / graph techW3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL, SPARQL for modelling, validation and querying.Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores.Ontology and knowledge?graph frameworks, reasoning tools, and production deployment experience.Data pipelines and entity workETL/streaming or CDC pipelines feeding a knowledge graph.Entity resolution techniques, data cleansing, enrichment, and integration from many sources.Python + ML / NLP stackHigh quality production code in Python.Libraries such as NetworkX, TensorFlow or PyTorch, NLTK, spaCy, Hugging Face, BERT, Pandas, NumPy, scikit?learn.Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection.NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution.Visualization and communicationGraph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot, etc.Ability to translate complex graph or AI concepts to varied audiences.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Test Engineer - 6 Months - Remote - £450pd Inside IR35Rate: Competitive (Inside IR35)Duration: 6 monthsLocation: RemoteIR35: InsideThe role:A leading Government institution is looking for a Test Engineer to support the delivery of a new data services platform and APIs that enable external users to search open datasets.You'll assist in driving quality across deliverables, while helping embed modern, scalable testing practices. This is an initial 6-month contract, Inside IR35, primarily remote.Required Experience & SkillsStrong background in planning and delivering structured testing within complex data or integration-focused projectsExperience defining and implementing end-to-end test processes aligned to Agile delivery teamsAbility to produce detailed, reusable test artefacts including test plans, scenarios, scripts, and supporting documentationProven experience coordinating Integration Testing and End-to-End Testing across multiple components and teamsSkilled in identifying, logging, and managing defects and data quality issues through to resolutionExperience reporting on test progress, metrics, and overall product quality through summaries, dashboards, and reviewsGood understanding of security, performance, and accessibility testing, particularly within public sector or standards-driven environmentsExperience working with data integration and transformation tools such as MuleSoft and Talend (or similar enterprise data tooling)Ability to work closely with QA, product owners, developers, and business stakeholders to ensure requirements are fully testable and quality-ledStrong troubleshooting skills, with the ability to investigate application and test automation issuesExperience mentoring or supporting other team members in testing approaches and best practicesComfortable working in collaborative Agile/SCRUM environments If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

We have partnered with a fast-growing wealthtech startup entering an exciting phase of product and team growth. The business is building consumer-facing financial products and is now looking to strengthen its frontend capability with a Senior Software Engineer focused on React.This role is well suited to someone who enjoys building and evolving live, production-ready frontend systems, shipping new features regularly and working closely with product and design in a true product-led environment.About the role:Take ownership of building and enhancing frontend features used by real customers in a live environmentWork primarily with React and TypeScript to deliver scalable, high-quality UI componentsCollaborate closely with Product, Design and Backend Engineers to translate requirements into well-executed frontend solutionsContribute to frontend architecture, performance optimisation and code quality standardsSupport and influence best practices around testing, maintainability and frontend toolingExposure to React Native is a plus, particularly where features are shared across web and mobile About you:Around 5-6 years of professional software engineering experience, with a strong frontend focusProven experience working in product-led companies where frontend is core to the user experienceStrong hands-on experience with React and TypeScript in production environmentsComfortable working on live systems, shipping features incrementally and owning what you buildSolid understanding of modern frontend patterns, state management and performance considerationsExperience with React Native is beneficial but not essentialThis is a great opportunity to join a growing wealthtech business where frontend engineering plays a critical role in shaping the product and customer experience.

PMO Manager - SC Cleared - 6 Month ContractRate: £460 per dayIR35: InsideDuration: 6 months (extendable)Location: Milton Keynes (up to 3 days a week on-site)The role:A leading Government Institution are seeking a PMO Manager (SC Cleared), to work within a Technology Delivery function, helping to provide governance and assurance across all delivery.6-month initial contract, Inside IR35 - SC Cleared role.Essential Experience:7+ Years working within Project Delivery/Project Management Office environmentAbility to communicate & collaborate with others effectivelyWorking use of Microsoft Productivity Tools - Excel, Word, PowerPoint etcAbility to analyse and continually improve high quality programme governance artefacts, including delivery to senior stakeholdersExperience of delivering projects/programmes to Government and/or Defence, stakeholders in a secure environmentExcellent organisational and communication skills.Ability to manage multiple priorities and maintain attention to detail.Experience managing programme and project financesDesirable:Knowledge of Project Management toolsets, such as MS ProjectAssistant Project Manager/Project Manager backgroundExperience in PMO or project support within a complex programme environment. If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

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