201 to 215 of 215 Data Science Jobs in the North of England

sensitive information. AccountabilitiesProvision of subject matter expertise on security systems and engineering patterns.Development and implementation of protocols, algorithms, and software applications to protect sensitive data and systems.Management and protection of secrets, ensuring that they are securely generated, stored, and used.Execution of audits to monitor, identify and assess vulnerabilities … areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively ...

hackajob is partnering directly with Dunnhumby to hire for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close ...

Data Scientist (Python SQL Maths) Newcastle onsite to 80k+Are you a Data Scientist, with a first class education and strong Python programming skills You could be progressing your career, as a Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have secure … backing and an established Hedge Fund client as a partner.As a Data Scientist you'll be mainly using backend Python and SQL to investigate data sets, analysing and manipulating large, novel data sets to understand financial trends and present these findings to the business.There's an Agile ...

hackajob is partnering directly with Dunnhumby to hire for this role. dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close ...

improve the relationship between the Public Sector and their residents. They sell a range of software, designed for Councils and Social Housing, that utilise data science and behavioural insights to help personalise and prioritise community engagement. This speeds up processes, reduces workloads, increases revenues and lowers escalations ...

This is an exciting opportunity for someone who is passionate about technology, data, and machine learning, and is eager to contribute to a forward-thinking, collaborative environment.The Data Scientist will be responsible for building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data … integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business requirements into technical solutionsRequirements3+ years of hands-on experience in applied machine learning and deploying production modelsProficiency in Python ...

Machine Learning Engineer DATA & MACHINE LEARNING | FINANCIAL SERVICES Most machine learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy them properly, monitor them and make them usable across the organisation. … model registry. Monitor production ML services and manage model upgrades and retirement. Use Terraform and Docker to create scalable, repeatable infrastructure. Work with data scientists to turn research code into maintainable production software. Collaborate with data, platform and application engineers to integrate ML services into products used across ...

About Us At ConnexAI, we’re building the future of language technology. As one of the leading global AI data teams, we work at the intersection of artificial intelligence, linguistics, and human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition … Text-to-Speech (TTS), and Large Language Models (LLMs). We’re a trusted data partner for model development, and our projects cover multiple languages and cultures. Our cutting-edge approaches and AI have helped hundreds of businesses worldwide enhance their customer engagement. ConnexAI is committed to innovation, creativity ...

helping them develop robust governance frameworks, policies and operating models. You'll work closely with senior stakeholders across business, legal, compliance, risk, technology, security, data and engineering teams to deliver practical solutions that enable innovation while meeting regulatory and operational requirements. Key Responsibilities as an AI Governance Lead Support … lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability and human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance ...

specialist consultant, working on a wide array of complex projects across multiple industries. The Role: We are seeking a flexible and driven Data Scientist/AI Engineer to prototype, develop, and scale impactful AI solutions. This hands-on role involves close collaboration with data scientists and cross-functional … Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and stakeholders in an agile environment. Experience with Retrieval Augmented Generation (RAG) or vector databases (e.g. Qdrant.) Exposure to MLOps practices ...

developing, and implementing intelligent software solutions that drive innovation, improve engineering productivity, and deliver measurable business value. You will work closely with AI Architects, Data Engineers, Data Scientists, Product teams, and Engineeri click apply for full job details ...

WhatYouWillDoAs Business Intelligence Manager within Commercial Operations & Enablement, EMEA, you will build and lead a scalable business intelligence capability that transforms commercial data into actionable insights. Reporting to the Head of Data Analytics & Digital Tools, you will partner with Sales, Service, Marketing, Finance, Digital, IT and regional leadership … forecastaccuracy,salesproductivity,conversionratesandcommercialperformance.EstablishstandardKPIdefinitions,scorecardsandperformancemeasurementframeworksacrossregions.Supportmonthly,quarterlyandannualbusinessreviewswithreporting,varianceanalysisandforward-lookingrecommendations.Analysegrowthopportunities,performancegaps,risksandmarkettrendstosupportstrategicdecisions.Developsalesintelligencemodelsforpipelinemanagement,opportunityprioritisation,territoryplanningandstrategicaccounts.DriveSalesforcedataquality,reportingconsistencyandcommercialdatagovernancestandards.PartnerwithFinance,DigitalandITteamstoimprovedatamodels,reportingsolutionsandsystemintegration.IdentifyandimplementautomationopportunitiesusingPowerBI,PowerQuery,SalesforceAnalyticsandapprovedAItools.Createexecutive-readyreporting,presentations,trainingmaterialsanddashboardadoptionprogrammes.Influenceseniorstakeholdersacrossmultiplecountriesandfunctionstodriveinsight-ledactionandmeasurableoutcomes.WhatWeAreLookingForRequiredBachelor'sdegreeinBusiness,Finance,Economics,Engineering,DataScience,InformationSystemsorrelateddiscipline.SignificantexperienceinBusinessIntelligence,CommercialAnalytics,SalesOperations,RevenueOperationsorFinanceAnalytics.AdvancedPowerBI,PowerQueryanddatavisualisationexpertise.ExperienceworkingwithSalesforceorasimilarCRMplatform.Stronganalyticalandproblem-solvingskillswithexcellentcommercialacumen.Abilitytocommunicatecomplexdataclearlytoexecutiveandnon-technicalaudiences.Provenstakeholdermanagementexperiencewithinamatrixorganisation.FluentEnglish.BeneficialMaster'sdegreeorMBA.ExperienceinCommercialExcellence,SalesEnablementorSalesTransformation.Backgroundinbuildingtechnologies,industrial,services,controlsorsolution-basedB2Benvironments.KnowledgeofSQL,predictiveanalytics,statisticalmodelling,customersegmentationoropportunityscoring.Experiencewithdatagovernance,Leanorcontinuousimprovementmethodologies.AdditionalEuropeanorEMEAlanguageskills.Experience driving dashboard adoption andanalyticstransformationacrossmultiplecountriesorbusinessunits.SummaryLocation: Manchester-Manchester-United Kingdom ...

Director of Financial Crime Redefine how financial crime is prevented - through data, automation, and AI. A high-growth digital banking platform undergoing a multi-million-pound technology transformation is seeking a Director of Financial Crime & Innovation. This is a unique opportunity to build and lead a next-generation, tech … prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance ...

Machine Learning Engineer DATA & MACHINE LEARNING FINANCIAL SERVICES Most machine learning roles focus on building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data ...