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• You help clients achieve their data & AI ambitions on a variety of projects, including:
• Data/ AI Strategy & transformation: i.e., identifying value adding use cases, assessing client maturity and executing transformation roadmaps.

• preparing and validating the historical corpora (OCR quality, genre and date metadata) with the project's research assistant
• fine-tuning open-weight language models on period texts (continued pretraining with parameter-efficient methods such as LoRA)

• Review and verify map, business, address, and location information
• Research information using online maps, search engines, directories, and reliable sources
• Compare information from different sources and determine which result is most accurate

As a Senior Consultant in digital health, you will play an active role in our go-to-market activities, business development, and the delivery of projects for healthcare clients....

Lead business development activities in field of AI and Data for Financial Services sector, including preparing client proposals and driving strategic initiatives....

• Define and further develop the Snowflake platform roadmap in alignment with enterprise data strategy and business priorities
• Establish the platform vision and manage priorities, demand intake and business requirements to maximize business value and support strategic objectives

• Ensure the stable operation, maintenance and business continuity of our APPlus ERP system.
• Provide 1st and 2nd level application support, troubleshoot issues and coordinate problem resolution with external software vendors.

Build AI agents and automations: Identify repetitive processes across the company, then design, build and deploy LLM-powered agents and workflows (e.g. Claude API, tool use / MCP) that take them over, from prototype to production....

Trusted Advisor: You guide our clients towards successful solutions to their data challenges. You'll lead design sessions, architecture reviews, proof-of-concept projects and evaluation of new data technologies and vendors....

• Define and prioritize features in close collaboration with marketing stakeholders and ensure alignment with business requirements, customer needs and the product vision
• Own the team backlog and continuously prioritize requirements to maximize business value

• Analyze and structure complex business requirements within SAP CPQ, SAP SD and related sales process landscapes
• Consult and support internal stakeholders in optimizing, harmonizing and further developing Quote-to-Cash processes

• Supporting business and marketing decisions with data-driven solutions
• Developing predictive models such as churn scoring to drive retention offers and product propensity scoring
• Translating business needs into actionable ML and AI solutions across marketing, customer care, and network operations

• Implementation of cloud infrastructure for SaaS & PaaS usage according to regulatory requirements and industry best practices
• Shape and implement the hybrid Cloud platform architecture blueprint including identity management, observability and security for Azure and AWS landing zones

Ownership of research direction across one or more product domains, identifying critical knowledge gaps and translating them into research questions and study plans...

• Build and develop a company-wide Data Office as a central governance and coordination function
• Establish pragmatic governance structures, role models and processes for an organisation-wide data management

• Designing security solutions based on BT’s security portfolio technologies
• Implementing security solutions
• Testing security solutions
• Handing over security solutions to service
• Creating value through technology for security design across complex multiple platforms and/or technology areas

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

Key job responsibilitiesAs a Business Intelligence Engineer in Innovation and Design Engineering at Amazon, you will connect with engineers working at the forefront of designing new automation technologies. You will be working with massive-scale data and providing analytic support to product...

• Ownership of end-to-end data migration workstream within SAP S/4HANA implementation and conversion programmes
• Definition of migration strategy, roadmap, scope, governance model and delivery approach
• Leadership of migration activities across Explore, Build, Test, Cutover and Go-Live phases

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.