Manchester Area, United KingdomfulltimeFinancial Services, IT Services and IT Consulting, and Bankingposted
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Data Scientist
Location:
Manchester (Hybrid)
Salary:
£60,000 - £75,000 + benefits
The Role
We are working with a well-established financial services organisation undergoing significant investment in its data and AI capabilities.
They are looking for a hands-on
Data Scientist to help drive the development and deployment of GenAI solutions across the business. This role is focused on practical application - building and scaling real-world use cases.
You will work on a variety of projects, including intelligent automation, document processing, internal copilots, and customer-facing AI tools, leveraging large language models and modern machine learning techniques.
While the organisation operates in a regulated environment, they are open to candidates from a range of industry backgrounds - financial services experience is beneficial but not essential.
Key Responsibilities
* Design, build, and deploy Generative AI solutions using large language models (LLMs)
* Develop and optimise prompt engineering strategies for production use cases
* Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications
* Work with both structured and unstructured datasets, including text-heavy data
* Collaborate closely with data engineering and software teams to productionise solutions
* Identify high-impact use cases and contribute to the broader AI roadmap
* Ensure solutions align with governance, risk, and compliance standards
* Communicate insights clearly to both technical and non-technical stakeholders
Required Skills \& Experience
* 3+ years’ experience in Data Science / Machine Learning roles
* Strong Python and SQL skills with hands-on experience building models and data pipelines
* Proven experience working with Generative AI (LLMs, prompt engineering, embeddings)
* Experience using frameworks such as LangChain, LlamaIndex, or similar
* Experience integrating with model APIs (e.g. OpenAI or open-source alternatives)
* Exposure to cloud environments (AWS, GCP or Azure)
* Strong problem-solving skills with a pragmatic, delivery-focused mindset
* Ability to work in cross-functional teams within a fast-paced environment
Nice to Have
* Experience within financial services or other regulated industries
* Exposure to vector databases (e.g. Pinecone, Weaviate, FAISS)
* Experience with MLOps / LLMOps and deploying models into production
* Familiarity with LLM fine-tuning, evaluation, or guardrailing techniques
* Experience building internal tools such as copilots or knowledge assistants
What’s on Offer
* Salary up to £75,000 depending on experience
* Generous benefits package
* Hybrid working (Manchester-based)
* Opportunity to join a well-established business investing heavily in AI
* High-impact role with real ownership and visibility
* Collaborative and forward-thinking data team
UK-based candidates only.
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