Transform

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
• Establish successful working relationships 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

Senior Data Scientist

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

AI Engineer

• Leading the development and management of systems & integration strategy, in consultation with COO and Tech practice bringing alignment of internal and externally facing tech
• Lead the delivery of key projects to add automation and AI to business-critical processes
• Create and maintain the central systems register as the system of record for all business technology, tools and applications and automate same
• Contribute to the DR/BC and manage it in conjunction with the Head of Operational Compliance
• Work with the parent company on all cyber related matters and provide assurance on mitigating risks
• Lead on the client security & policy management – define and implement policy & process for ensuring we understand data & cyber governance on client accounts, and have the right policy & procedures in place e.g. AI usage policies
• Administer and automate, wherever possible, user access, roles, and permissions across business systems
• Manage licenses in line with joiner, mover, and leaver processes and use this data to rationalise systems where possible

Senior Data Scientist

Data Analyst

Internal Transformation – AI Lead