Sr Data Scientist (London)

Story Terrace Inc.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A cutting-edge AI innovation firm in London is seeking a Senior Data Scientist to lead complex AI implementations within regulated environments. This role requires a proven record in data science tailored for financial services, strong skills in deep learning frameworks, and a commitment to compliance and risk management. Ideal candidates will have experience in deploying AI solutions and a solid academic background in machine learning. Competitive compensation and collaborative work culture offered.

Qualifications

• Proven track record of hands-on experience in data science within highly regulated environments.
• Experience in deploying AI solutions in both cloud and on-premise environments.
• Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.

Responsibilities

• Evaluate, fine-tune, and implement AI/ML models tailored for enterprise use cases.
• Lead the deployment of AI models into production environments.
• Collaborate closely with ML Engineers and Software Development Engineers.

Skills

Deep learning frameworks (TensorFlow, PyTorch)

Data science in regulated environments

Model evaluation and customization

Enterprise integration

Advanced AI techniques

Education

Solid academic background in machine learning

Tools

Transformers

GANs

Job description

AryaXAIstandsattheforefrontofAIinnovation,revolutionizingAIformission-critical,highlyregulatedindustriesbybuildingexplainable,safe,andalignedsystemsthatscaleresponsibly.OurmissionistocreateAItoolsthatempowerresearchers,engineers,andorganizations—includingbanks,financialinstitutions,andlargeenterprises—tounlockAI'sfullpotentialwhilemaintainingtransparency,safety,andregulatorycompliance.

Ourteamthrivesonasharedpassionforcutting-edgeinnovation,collaboration,andarelentlessdriveforexcellence.AtAryaXAI,everyteammembercontributeshands-oninaflatorganizationalstructurethatvaluescuriosity,initiative,andexceptionalperformance,ensuringthatourworknotonlyadvancestechnologybutalsomeetstherigorousdemandsofregulatedsectors.

RoleOverview

AsaSeniorDataScientistatAryaXAI,youwillbeuniquelypositionedtotacklelarge-scale,enterprise-levelchallengesinregulatedenvironments.You’llleadcomplexAIimplementationsthatprioritizeexplainability,riskmanagement,andcompliance,directlyimpactingmission-criticalusecasesinthefinancialservicesindustryandbeyond.Yourexpertisewillbecrucialindeployingsophisticatedmodelsthataddressthenuancesandstringentrequirementsofregulatedsectors.

Responsibilities

• ModelEvaluation&Customization: Evaluate,fine-tune,andimplementappropriateAI/MLmodelsonAryaXAI.comtailoredforenterpriseandregulatedusecases.Considerfactorssuchasaccuracy,computationalefficiency,scalability,andregulatoryconstraints.
• ArchitecturalAssessment: Assessandrecommendvariousmodelarchitectures,ensuringthatselectedsolutionsmeetthehighstandardsrequiredbycomplexbusinessproblemsinfinancialservicesandotherregulatedindustries.
• EnterpriseIntegration: LeadthedeploymentofAImodelsintoproductionenvironments,ensuringseamlessintegrationwithexistingenterprisesystemswhileupholdingstrictcomplianceandsecuritystandards.
• AdvancedAITechniques: Drivethedevelopmentandimplementationofstate-of-the-artAIarchitectures,incorporatingadvancedexplainability,AIsafety,andalignmenttechniquessuitedforregulatedapplications.
• Specialization&Innovation: Takeownershipofspecializedareaswithinmachinelearning/deeplearningtoaddressspecificchallengesrelatedtocomplexdatasets,regulatoryrequirements,andenterprise-gradeAIsolutions.
• Collaboration&QualityAssurance: CollaboratecloselywithMachineLearningEngineers(MLEs)andSoftwareDevelopmentEngineers(SDEs)torolloutfeatures,managequalityassurance,andensurethatalldeployedmodelsmeetbothperformanceandcompliancebenchmarks.
• Documentation&Compliance: Createandmaintaindetailedtechnicalandproductdocumentation,withanemphasisonauditabilityandadherencetoregulatorystandards.

Qualifications

• Educational&ProfessionalBackground: Asolidacademicbackgroundinmachinelearning,deeplearning,orreinforcementlearning,ideallycomplementedbyexperienceinregulatedindustriessuchasfinancialservicesorenterprisesectors.
• RegulatedIndustryExperience(FS,BankingorInsuranceispreferred): Proventrackrecord(2+years)ofhands-onexperienceindatasciencewithinhighlyregulatedenvironments,withadeepunderstandingoftheuniquechallengesandcompliancerequirementsinthesesettings.
• TechnicalExpertise: Demonstratedproficiencywithdeeplearningframeworks(TensorFlow,PyTorch,etc.)andexperienceinimplementingadvancedtechniques(Transformermodels,GANs,etc.).
• DiverseDataHandling: Experienceworkingwithvarieddatatypes—includingtextual,tabular,categorical,andimagedata—andtheabilitytodevelopmodelsthathandlecomplex,enterprise-leveldatasets.
• DeploymentProficiency: ExpertiseindeployingAIsolutionsinbothcloudandon-premiseenvironments,ensuringrobust,scalable,andsecureintegrationswithenterprisesystems.
• Publications&Contributions: Peer-reviewedpublicationsorsignificantcontributionstoopen-sourcetoolsinAIarehighlyregarded.