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Job Description

Data Scientist / AI Engineer Location: UK London / Bristol Clearance: BPSS eligible (required prior to engagement start) Working Model: Onsite 1-2 days per week Day Rate: Inside IR35

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Overview A leading UK financial institution is seeking two experienced Data Scientists (or AI Engineers) to design, build and deliver advanced AI and analytics solutions. These roles sit at the intersection of data science, engineering and strategic problem‑solving, supporting high‑impact initiatives across the organisation. Successful candidates will be hands‑on technical leaders with strong communication skills and the ability to guide both clients and junior team members.

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Key Responsibilities * Lead end‑to‑end AI, advanced analytics and automation projects from discovery through to production deployment. * Translate complex data into clear insights and strategic recommendations for senior stakeholders. * Work collaboratively with multidisciplinary teams including engineers, consultants and business leaders. * Design, develop and implement machine learning models, statistical methods and AI solutions tailored to business needs. * Support business development activities such as solution design, proposal input and client presentations. * Mentor junior data scientists and analysts, contributing to capability development. * Maintain awareness of emerging AI/ML technologies, tools and methodologies. Required Skills and Experience * AI Project Lifecycle: Proven experience delivering full‑lifecycle AI projects, from research and prototyping to production deployment. Strong communication and stakeholder management. * Advanced Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. * NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models. * AI Solution Development: Experience architecting and delivering AI solutions using modern tooling, including generative AI assistants such as GitHub Copilot or Amazon CodeWhisperer. * Cloud & Data Platforms: Familiarity with cloud environments (AWS, Azure, GCP) and experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

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Experience * Expertise in one or more specialised areas such as NLP, image processing, video processing, voice processing or Watson technologies. * Familiarity with modern UI frameworks (e.g., Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery) to support integration of AI solutions. * Experience working across multiple operating systems (Linux, Windows, iOS, Android). * PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field

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