About the Role We are seeking an innovative and highly skilled Generative AI Data Scientist to join our AI System Design team. This individual will play a key role in bridging business needs with advanced AI-driven solutions. The ideal candidate will have experience in end-to-end AI experiment life cycle management , architecture design, and the ability to translate business KPIs into measurable AI outcomes. A strong background in data management (preferably on Databricks ), along with proficiency in modern Generative AI frameworks , is essential. This role demands both technical depth and excellent communication skills to engage with business stakeholders, design scalable AI systems, and ensure reliable model deployment using Azure and Databricks. Key Responsibilities Lead end-to-end AI experimentation processes from conceptualization to deployment. Collaborate with business stakeholders to define success metrics, KPIs, and measurable outcomes for AI applications. Translate business requirements into detailed AI solution designs, including: Business Value definition AI solution design (Data Flow, AI component selection, Prompt Engineering, AP, I, and AI integration planning) Automated model evaluation and monitoring frameworks Design, build, and scale data pipelines and AI workflows on Azure and Databricks ecosystems. Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. Lead the design and deployment of automated AI performance evaluation frameworks. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, AI/ML, Mathematics, or related field . 5+ years of experience in Applied data science. with at least 2+ years focused on Generative AI/LLMs . Strong experience in Databricks data engineering and ML workflows. Proficiency in the Azure AI/ML ecosystem , including MLOps and data management best practices. Demonstrated expertise in: Python (advanced) AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional) Prompt engineering and fine-tuning LLMs for task-specific use cases Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications. Excellent communication and stakeholder management skills. Strong ability to connect business concepts with AI-driven architectures and KPIs.
Dec 06, 2025
Contractor
About the Role We are seeking an innovative and highly skilled Generative AI Data Scientist to join our AI System Design team. This individual will play a key role in bridging business needs with advanced AI-driven solutions. The ideal candidate will have experience in end-to-end AI experiment life cycle management , architecture design, and the ability to translate business KPIs into measurable AI outcomes. A strong background in data management (preferably on Databricks ), along with proficiency in modern Generative AI frameworks , is essential. This role demands both technical depth and excellent communication skills to engage with business stakeholders, design scalable AI systems, and ensure reliable model deployment using Azure and Databricks. Key Responsibilities Lead end-to-end AI experimentation processes from conceptualization to deployment. Collaborate with business stakeholders to define success metrics, KPIs, and measurable outcomes for AI applications. Translate business requirements into detailed AI solution designs, including: Business Value definition AI solution design (Data Flow, AI component selection, Prompt Engineering, AP, I, and AI integration planning) Automated model evaluation and monitoring frameworks Design, build, and scale data pipelines and AI workflows on Azure and Databricks ecosystems. Apply Generative AI techniques for text, code, image, and multi-modal use cases using advanced prompt engineering. Utilize modern GenAI toolkits and libraries, including: PyTorch LangChain, LangGraph, Model Context Protocol, Google's Agent Development Kit (ADK), and similar agentic frameworks. Develop experiments for LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent AI workflows . Deliver production-grade Python code using advanced data science, ML, and analytics libraries (eg, Pandas, NumPy, Scikit-learn, PyTorch, Hugging Face Transformers, Pydantic ). Document and communicate AI designs, decisions, and experiment outcomes to both technical and non-technical stakeholders. Lead the design and deployment of automated AI performance evaluation frameworks. Required Qualifications Master's or Ph.D. in Computer Science, Data Science, AI/ML, Mathematics, or related field . 5+ years of experience in Applied data science. with at least 2+ years focused on Generative AI/LLMs . Strong experience in Databricks data engineering and ML workflows. Proficiency in the Azure AI/ML ecosystem , including MLOps and data management best practices. Demonstrated expertise in: Python (advanced) AI/ML libraries (PyTorch, Hugging Face, Scikit-learn, TensorFlow, optional) Prompt engineering and fine-tuning LLMs for task-specific use cases Familiarity with LangChain, LangGraph, MCP, or other agentic frameworks for building AI applications. Excellent communication and stakeholder management skills. Strong ability to connect business concepts with AI-driven architectures and KPIs.
About the Role: Are you a hands-on tech leader who loves building scalable, high-performance applications? We're looking for a Technical Lead to join our growing engineering team and drive impactful solutions across our product ecosystem. Our Tech Stack While we believe in using the right tools for the right tasks, you can expect to work with: Programming Languages: JavaScript, Java, .NET Cloud Platforms: AWS, GCP, Azure Practices & Tools: CI/CD, TDD What You'll Do Lead and mentor a high-performing engineering team Architect, design, and deliver robust, scalable applications Collaborate with cross-functional teams to drive technical excellence Ensure best practices in coding, testing (TDD), and deployment (CI/CD) Work across multi-cloud environments (AWS/GCP/Azure) What We're Looking For Strong experience in JavaScript, Java, and OR.NET Cloud expertise in AWS, GCP, or Azure Proven background in leading engineering or technical teams Solid understanding of CI/CD pipelines & test-driven development Excellent problem-solving and communication skills Send your CV highlighting Technical Lead and development experience with JavaScript, Java, .NET, AWS, GCP, or Azure
Dec 06, 2025
Full time
About the Role: Are you a hands-on tech leader who loves building scalable, high-performance applications? We're looking for a Technical Lead to join our growing engineering team and drive impactful solutions across our product ecosystem. Our Tech Stack While we believe in using the right tools for the right tasks, you can expect to work with: Programming Languages: JavaScript, Java, .NET Cloud Platforms: AWS, GCP, Azure Practices & Tools: CI/CD, TDD What You'll Do Lead and mentor a high-performing engineering team Architect, design, and deliver robust, scalable applications Collaborate with cross-functional teams to drive technical excellence Ensure best practices in coding, testing (TDD), and deployment (CI/CD) Work across multi-cloud environments (AWS/GCP/Azure) What We're Looking For Strong experience in JavaScript, Java, and OR.NET Cloud expertise in AWS, GCP, or Azure Proven background in leading engineering or technical teams Solid understanding of CI/CD pipelines & test-driven development Excellent problem-solving and communication skills Send your CV highlighting Technical Lead and development experience with JavaScript, Java, .NET, AWS, GCP, or Azure
About the Role We're looking for a Senior Business Analyst with deep expertise in Salesforce, Professional Services (PSA tool), Kantata SX, and Napta to support and enhance our Professional Services operations. You'll work closely with cross-functional teams - including Product, Engineering, and Operations - to analyse business needs, refine user stories, and drive improvements across our project and implementation workflows. This is a hands-on, cross-functional role requiring a blend of strategic insight and detailed execution. You'll act as the bridge between business stakeholders and technical teams to ensure scalable, efficient, and impactful solutions. Key Responsibilities Partner with business and technical teams to gather, document, and prioritise requirements. Support process optimisation within Professional Services , including PPPM, resource management, project financials, and implementation workflows. Configure Salesforce (custom objects, flows, validation rules) and collaborate on enhancements in Kantata SX, Napta. Translate business requirements into clear, actionable user stories for agile development. Drive documentation in JIRA and Confluence, including workflows, process maps, and release notes. Support data validation and integrations between Salesforce, Kantata SX, and related systems. Qualifications 5+ years of experience as a Business Analyst, including 2+ years with Salesforce , PSA tool, Kantata SX, and Napta( Mandatory ). Strong knowledge of Professional Services and Project Portfolio Management processes. Proficiency in tools like JIRA, Confluence, Excel, and Lucidchart/Visio. Excellent communication and stakeholder management skills. Strong analytical mindset and attention to detail. Bonus Skills Experience with NetSuite, Workday, or Zuora . Familiarity with API integrations, basic SQL, or data validation. Background in SaaS or consulting organisations. Certifications such as Salesforce Administrator, CSPO, or CBAP/CCBA . How to Apply: Send your CV only if you have these skills, highlighting Business Analyst experience with Salesforce and Professional Services operations, PSA tool
Dec 06, 2025
Contractor
About the Role We're looking for a Senior Business Analyst with deep expertise in Salesforce, Professional Services (PSA tool), Kantata SX, and Napta to support and enhance our Professional Services operations. You'll work closely with cross-functional teams - including Product, Engineering, and Operations - to analyse business needs, refine user stories, and drive improvements across our project and implementation workflows. This is a hands-on, cross-functional role requiring a blend of strategic insight and detailed execution. You'll act as the bridge between business stakeholders and technical teams to ensure scalable, efficient, and impactful solutions. Key Responsibilities Partner with business and technical teams to gather, document, and prioritise requirements. Support process optimisation within Professional Services , including PPPM, resource management, project financials, and implementation workflows. Configure Salesforce (custom objects, flows, validation rules) and collaborate on enhancements in Kantata SX, Napta. Translate business requirements into clear, actionable user stories for agile development. Drive documentation in JIRA and Confluence, including workflows, process maps, and release notes. Support data validation and integrations between Salesforce, Kantata SX, and related systems. Qualifications 5+ years of experience as a Business Analyst, including 2+ years with Salesforce , PSA tool, Kantata SX, and Napta( Mandatory ). Strong knowledge of Professional Services and Project Portfolio Management processes. Proficiency in tools like JIRA, Confluence, Excel, and Lucidchart/Visio. Excellent communication and stakeholder management skills. Strong analytical mindset and attention to detail. Bonus Skills Experience with NetSuite, Workday, or Zuora . Familiarity with API integrations, basic SQL, or data validation. Background in SaaS or consulting organisations. Certifications such as Salesforce Administrator, CSPO, or CBAP/CCBA . How to Apply: Send your CV only if you have these skills, highlighting Business Analyst experience with Salesforce and Professional Services operations, PSA tool
We are looking for a Data Analyst to support a data improvement programme in the CMC (Chemistry, Manufacturing & Controls) area. The role involves reviewing data issues, improving data quality, and working with scientific and technical teams to ensure accurate and consistent data across systems. Responsibilities Manage and update a tracker for data issues. Review data inconsistencies and create clear use cases. Identify whether issues are data, system, or process related. Support terminology and reference data alignment. Work with SMEs to validate data mappings and corrections. Track high-risk or unresolved issues and escalate when needed. Prepare summaries and reports for senior stakeholders. Work with teams to improve data quality and data flow. Skills & Experience Experience as a Data Analyst or Data Quality Analyst. Strong analytical and problem-solving skills. Ability to document data issues and create use cases. Comfortable working across multiple systems and datasets. Good communication skills and ability to work with SMEs. Understanding of data quality and data mapping processes. Life Sciences or Pharma experience preferred.
Dec 03, 2025
Contractor
We are looking for a Data Analyst to support a data improvement programme in the CMC (Chemistry, Manufacturing & Controls) area. The role involves reviewing data issues, improving data quality, and working with scientific and technical teams to ensure accurate and consistent data across systems. Responsibilities Manage and update a tracker for data issues. Review data inconsistencies and create clear use cases. Identify whether issues are data, system, or process related. Support terminology and reference data alignment. Work with SMEs to validate data mappings and corrections. Track high-risk or unresolved issues and escalate when needed. Prepare summaries and reports for senior stakeholders. Work with teams to improve data quality and data flow. Skills & Experience Experience as a Data Analyst or Data Quality Analyst. Strong analytical and problem-solving skills. Ability to document data issues and create use cases. Comfortable working across multiple systems and datasets. Good communication skills and ability to work with SMEs. Understanding of data quality and data mapping processes. Life Sciences or Pharma experience preferred.
We are supporting a major programme within a global pharmaceutical environment and are seeking a highly experienced Business Analyst/Architect to shape strategy and guide technology direction across the organisation. You will work closely with senior stakeholders to evaluate current business strategy, assess alignment with the existing IT ecosystem, and define recommendations for future-state solutions. This role suits someone who can comfortably operate at both strategic and technical levels - either a Senior Business Analyst with strong architecture exposure , or an Architect with solid business-facing capability . Key Responsibilities Analyse current business strategy within Pharmaceutical Sciences and assess alignment to IT systems and platforms Map business processes, data flows and capability maturity across the function Identify gaps, challenges and opportunities for transformation Define recommendations and strategic options to enhance performance and enable scalability Engage with senior business and technology stakeholders to influence future decisions Contribute to roadmap creation and architectural direction Experience Required Proven background as a Senior Business Analyst , IT/Enterprise Architect , or hybrid profile Ability to operate at the strategy level while understanding technical detail Strong stakeholder engagement and communication skills Experience in defining recommendations, roadmaps or solution direction
Dec 03, 2025
Contractor
We are supporting a major programme within a global pharmaceutical environment and are seeking a highly experienced Business Analyst/Architect to shape strategy and guide technology direction across the organisation. You will work closely with senior stakeholders to evaluate current business strategy, assess alignment with the existing IT ecosystem, and define recommendations for future-state solutions. This role suits someone who can comfortably operate at both strategic and technical levels - either a Senior Business Analyst with strong architecture exposure , or an Architect with solid business-facing capability . Key Responsibilities Analyse current business strategy within Pharmaceutical Sciences and assess alignment to IT systems and platforms Map business processes, data flows and capability maturity across the function Identify gaps, challenges and opportunities for transformation Define recommendations and strategic options to enhance performance and enable scalability Engage with senior business and technology stakeholders to influence future decisions Contribute to roadmap creation and architectural direction Experience Required Proven background as a Senior Business Analyst , IT/Enterprise Architect , or hybrid profile Ability to operate at the strategy level while understanding technical detail Strong stakeholder engagement and communication skills Experience in defining recommendations, roadmaps or solution direction
A Geospatial Developer with strong Esri GIS and Azure experience is required to design, develop, and deliver GIS solutions within a large-scale enterprise geospatial data programme. What You Will Do Lead the design, development, and configuration of Esri GIS Enterprise/ArcGIS Portal. Create documentation for data models, APIs, integrations, and Interface Control Documents (ICDs). Ensure all Esri platform features perform correctly across test and non-production environments. Provide technical leadership for migrating applications from Geocortex to VertiGIS Studio. Integrate geospatial applications and services with the Azure-based data platform. Support the development and execution of testing strategies for platform and application migration. Serve as the technical authority for geospatial development, offering guidance and assurance to the wider team. Skills & Experience Required Strong experience designing and delivering scalable geospatial solutions. Hands-on experience with cloud platforms, especially Microsoft Azure. Deep expertise in Esri GIS Enterprise, ArcGIS Portal, and related Esri technologies. Solid understanding of geospatial data models, APIs, and system integrations. Experience with VertiGIS Studio, FME Server, or similar geospatial tools is a plus. Experience with geospatial application migrations is beneficial. Exposure to functional and non-functional testing (performance, usability, integration) is an advantage.
Dec 01, 2025
Contractor
A Geospatial Developer with strong Esri GIS and Azure experience is required to design, develop, and deliver GIS solutions within a large-scale enterprise geospatial data programme. What You Will Do Lead the design, development, and configuration of Esri GIS Enterprise/ArcGIS Portal. Create documentation for data models, APIs, integrations, and Interface Control Documents (ICDs). Ensure all Esri platform features perform correctly across test and non-production environments. Provide technical leadership for migrating applications from Geocortex to VertiGIS Studio. Integrate geospatial applications and services with the Azure-based data platform. Support the development and execution of testing strategies for platform and application migration. Serve as the technical authority for geospatial development, offering guidance and assurance to the wider team. Skills & Experience Required Strong experience designing and delivering scalable geospatial solutions. Hands-on experience with cloud platforms, especially Microsoft Azure. Deep expertise in Esri GIS Enterprise, ArcGIS Portal, and related Esri technologies. Solid understanding of geospatial data models, APIs, and system integrations. Experience with VertiGIS Studio, FME Server, or similar geospatial tools is a plus. Experience with geospatial application migrations is beneficial. Exposure to functional and non-functional testing (performance, usability, integration) is an advantage.
