Transform

IT Support

• Define, implement and govern enterprise architecture frameworks, principles, and standards across client engagements
• Lead the development of target operating models, capability maturity assessments, and transformation roadmaps
• Ensure alignment between business goals, IT strategy, and solution delivery through architecture governance
• Act as a senior advisor to client executives, helping them navigate change and technology evolution
• Collaborate with sales and account teams to identify enterprise-level challenges and shape transformational architecture strategies
• Lead architecture visioning and strategy sessions with client executives and technology leaders
• Develop high-level enterprise architectures, capability maps, and transformation roadmaps during pre-sales engagements
• Contribute to proposals, RFP responses, and executive presentations that clearly articulate enterprise value
• Develop and enhance enterprise architecture methodologies, tools, and reusable templates
• Mentor consultants and architects, internally and in clients, in enterprise architecture best practices and advocating architectural practice
• Contribute to the development of consulting offerings related to architecture strategy, governance, and transformation
• Lead internal knowledge-sharing forums and communities of practice focused on enterprise architecture

Principal Enterprise Architect

Data Scientist

• Design, build and deploy machine learning models to solve real-world business problems, including classification and optimisation use cases
• Develop and implement LLM-based applications, including prompt engineering, fine-tuning where appropriate, and orchestration of model/agent workflows via tools like LangChain.
• Build and maintain RAG, GRAPH pipelines, including document ingestion, embedding generation, vector search and retrieval strategies
• Evaluate model performance and trade-offs, balancing accuracy, explainability, cost and scalability
• Use Python as the primary language for data science and ML development.
• Write, optimise, and maintain SQL queries against relational databases to support analytics, feature generation, and model development.
• Collaborate on data pipelines and feature engineering to support model development and deployment
• Apply statistical and analytical techniques to inform insights and actions from the data.
• Work with structured and unstructured data, including text-heavy datasets used in LLM and RAG/GRAPH solutions
• Contribute to model deployment approaches with our DevOps team, including APIs, batch processes and integration with existing analytics platforms
• Work with cloud-based platforms and services (e.g. AWS, Azure, GCP) to support model training, deployment and scaling
• Use and evaluate modern AI tooling, frameworks and libraries (e.g. PyTorch, scikit-learn, LangChain/Graph/Smith, Vector databases, Graph Structures)
• Support experimentation and prototyping, helping move promising ideas into production-ready solutions
• Work closely with business stakeholders and Domain leads to translate business problems into data science and AI solutions
• Partner with the Lead Data Scientist to identify new AI-driven opportunities and help shape Transform’s AI capability and offerings
• Clearly communicate complex technical concepts, assumptions and outputs to non-technical audiences
• Document approaches, models and learnings to support knowledge sharing and reuse

Data Analyst

• Performing ad-hoc data extractions using SQL to build analysis tables to answer client queries
• Support other areas of the analytics team with digital analytics queries using Google Analytics and Tag Manager to set up tracking
• Support BI and reporting deliverables where necessary

• Lead and deliver ad-hoc and planned data analysis to answer complex client and internal briefs
• Use SQL & Python for data analysis, transformation and automation where appropriate
• Support BI and reporting deliverables as required, ensuring outputs are accurate, scalable and clearly aligned to business needs
• Act as line manager for 3-4 Data Analysts, providing day-to-day support, coaching and performance management
• Support the development of technical capability within the team, including SQL, analytical thinking and best practice coding standards
• Carry out regular one-to-ones, goal setting and development planning, helping analysts progress in their careers
• Review and QA analytical outputs and code, providing constructive feedback and promoting high standards
• Work closely with the Insight Analytics Manager to identify internal and external opportunities to develop new analytical approaches, products and capabilities
• Contribute to shaping analytical best practice, processes and standards across the team
• Partner with stakeholders across the business to understand requirements and translate them into impactful analytical approaches and solutions for our clients
• Communicate insights clearly and confidently to both technical and non-technical audiences, telling compelling stories with data

Senior Data Analyst

Designer

• Understanding the strategic context of clients and reconciling customer needs with strategic priorities
• Leading and/or playing a senior team role in service design projects, in a range of different sectors
• Building client accounts through outstanding and award-winning work
• Running client workshops
• Making complex product, service and operating systems easy to understand for clients and colleagues through simple and accessible visualisation.
• Developing new service propositions for clients
• Developing skills and mentoring colleagues in the service design practice

Principal Enterprise Architect

Data Scientist

Data Analyst

Senior Data Analyst

Senior Service Designer