The main objective of this role is to work collaboratively with internal and external partners to support the delivery of Modelling & Statistics workstreams as part of Tobacco Harm Reduction (THR) Sciences. The role involves the application of statistical analysis, computational modelling, data evaluation and evidence synthesis.
Compensation
market leading annual performance bonus (subject to eligibility)
Responsibilities
Literature searching, data collation and QC review to support modelling and statistics workstream requirements.
Data cleansing, statistical analysis, assessment, and application of input data.
Support collaborative development of modelling tools and approaches for population health assessment.
Maintain and build effective working relationships with internal partners and external vendors/collaborators
Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses. Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers.
Locations (2)
Hyderabad, Telangana, India
Pune, Maharashtra, India
Compensation
Competitive salary and performance-based bonuses
Responsibilities
Consult on data projects of intermediate complexity to lead design, development, and implementation of data products.
Practices code management and integration with current architectural and data governance guidelines.
Produces data building blocks, data models, and data flows for dimensional data, standard and ad hoc reporting, data feeds, and data science research.
Creates business user access methods to structured and unstructured data.
Translates business data stories into a technical story breakdown structure and work estimates.
Provide data in response to one-time or recurring requests for reports or analysis, analyze data quality, support testing and implementation activities, and contribute to complex analysis projects.
Locations (2)
Hyderabad, Telangana, India
Pune, Maharashtra, India
Compensation
Competitive salary and performance-based bonuses
Responsibilities
Respond to new requests for reports/data and refine requirements
Extract data using Cognos ReportNet, OBIEE Answers, or similar interfaces
Extract data directly from relational databases such as Oracle or SQL Server using SQL
Format data for business use in Excel, Access, or similar formats
Produce reports manually and through automated scripting, creating and maintaining scripts and macros
En tant que Platform Engineer, vous serez au cœur de l'automatisation, de l'industrialisation et de l'administration de l'infrastructure, notamment Kubernetes.
Responsibilities
Administrer, faire évoluer et maintenir l'environnement conteneurisé, avec une forte expertise sur Kubernetes et idéalement OpenShift.
Configurer, utiliser et implémenter les composants techniques des pipelines de CI/CD en utilisant des outils comme GitLab (maîtrise de Git et du concept GitOps) et ArgoCD.
Contribuer à l'administration des systèmes RedHat/Linux et mettre en œuvre l'automatisation via Ansible.
Réaliser la MCO applicative et système (patch management, montées de version...).
Administrer et exploiter les outils de monitoring (Centreon, Grafana, Dynatrace...).
Lead digital delivery and advisory across England & Wales operations, championing AI, data science and digital optimisation to deliver measurable outcomes for clients and internal teams.
Locations (3)
Birmingham, England, United Kingdom
England, United Kingdom
Wales, United Kingdom
Responsibilities
Lead digital delivery across multiple projects and frameworks in England & Wales
Develop and implement digital optimisation strategies with the core digital team
Advise clients on digital transformation approaches, data governance and platform adoption
Engage with Client Account Managers to identify digital opportunities
Champion AI, machine learning and data science techniques across project teams
Principal Engineer responsible for designing, building, and operating large-scale, highly available distributed cloud services within Oracle Cloud Infrastructure’s Commercial Systems organization.
Responsibilities
Design and evolve high-scale cloud services
Improve system resilience and operational excellence
Drive technical direction and alignment across teams
Deliver products through full software development lifecycle
Support mission‑critical, tier‑one services
Requirements
BS or MS in Computer Science or related technical field
Build and operate massive-scale cloud services leveraging state of art machine learning technologies in Oracle Cloud Infrastructure Generative AI Service team.
Compensation
US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design and build distributed, scalable, high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production in business-critical scenarios
Diagnose, troubleshoot and resolve issues in AI model training and serving
Requirements
BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: cloud computing production experience
Lead the technical direction and roadmap for OCI’s Internet Edge, including internet transit, peering, private interconnects, internet exchanges, and connectivity to DDoS protection providers.
Compensation
Range from $126,000 to $264,000
Responsibilities
Set the technical direction and roadmap for OCI’s Internet Edge.
Define routing policies and resilient connectivity designs that balance availability, performance, and cost across regions.
Use traffic and performance data to guide peering, transit, and traffic engineering decisions.
Plan for high-volume media workloads by forecasting traffic patterns and identifying connectivity needs.
Partner with backbone and transport owners on capacity planning, edge deployments, and circuit changes.