Data Science & AI Consultant

Ubique Systems • European Union
Remote Visa Sponsorship
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AI Summary

Ubique Systems seeks a Data Science & AI Consultant to develop DS&A strategies, analyze health services research, and design advanced analytics & ML models. The role requires expertise in RWD methodology, data evaluation, and linkage. The consultant will also facilitate stakeholder alignment and provide training/enablement for functional departments.

Key Highlights
Develop DS&A strategies and use-case portfolios
Analyze health services research and design advanced analytics & ML models
Facilitate stakeholder alignment and provide training/enablement
Key Responsibilities
Develop DS&A strategies and use-case portfolios
Analyze health services research and design advanced analytics & ML models
Facilitate stakeholder alignment and provide training/enablement for functional departments
Conduct data evaluation and linkage
Design and review of classification, regression, prediction, and time-series models
Consult on promotional mix optimization, next best action, segmentation/targeting, experimental design (A/B testing), and impact measurement
Develop roadmaps for ML production readiness, CI/CD for ML, feature stores, model registry, monitoring (drift, performance), documentation, and handover standards for internal operations teams
Technical Skills Required
Python R SQL AWS (S3, Athena, SageMaker) Git CI/CD Power BI FHIR OMOP NLP/LLM Deep learning Recommender systems Bias/fairness assessments Reproducibility Audit readiness
Benefits & Perks
Remote work
EU region visa sponsorship

Job Description


Greetings from Ubique Systems!!!




We are looking for a Data Science & AI Consultant for one of our customer who has an expertise in:-


  • Strategy & Roadmaps: Development of DS&AI strategies, use-case portfolios, and value-case assessments; prioritization based on impact, feasibility, and risk; definition of KPI/OKR frameworks.
  • RWD Methodology: Study and analysis design for health services research (unmet need, patient pathways, outcomes) based on routine health insurance data, EMR/EHR, registry and claims data, PROs/PREMs; data evaluation and linkage.
  • Advanced Analytics & ML: Design and review of classification, regression, prediction, and time-series models; NLP/LLM, deep learning, recommender systems; bias/fairness assessments, reproducibility, and audit readiness.
  • Omnichannel Enablement: Consulting on promotional mix optimization, next best action, segmentation/targeting, experimental design (A/B testing), and impact measurement.
  • MLOps/DataOps Consulting: Roadmap for ML production readiness, CI/CD for ML, feature stores, model registry, monitoring (drift, performance), documentation, and handover standards for internal operations teams.
  • Data & Vendor Due Diligence: Evaluation of external data sources and providers, technical due diligence, data protection/compliance checks (e.g., GDPR), licensing/usage models, and cost-benefit analyses.
  • Stakeholder Alignment: Facilitation between Medical, Market Access, Payer/Governmental Affairs, and Marketing/Sales; workshops, storylining, decision-making documents; Training/Enablement for functional departments.
  • Service Package (Project-Based)
  • Discovery & Scoping: Problem definition, hypotheses, data requirements, risk/ethics assessment; roadmap and MVP plan.
  • Prototyping & Validation: Development of PoCs/MVPs including success criteria, statistical validation, and reproducibility; documentation for traceability.
  • Operationalization: Architecture and operations consulting, handover to internal teams (runbooks, monitoring KPIs, quality checklists); support through go-live.
  • Governance & Compliance: Establishment of review gates, model risk management, bias/fairness frameworks, data protection concepts; preparation for internal/external audits.
  • Capability Building: Training, playbooks, templates, code and dashboard guidelines; coaching for product owners and analysts.
  • Technology Stack (consulting-ready)
  • Languages/Tools: Python, R, SQL; review of production code, pipelines, and notebooks.
  • Cloud & BI: AWS (S3, Athena, SageMaker), Git, CI/CD, Power BI; Architecture and tool selection.
  • Data formats/models: FHIR, OMOP, claims/billing structures; pseudonymization/de-identification.



Employment type:- B2B Contract.




It would be remote working.



Note:-Only apply if you have valid visa in the EU Region, Sponsorship will not be given.


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