Data Scientist

Oscar; Manchester; On-site; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Generous benefits package

AI investment participation

Job summary

Oscar is seeking a hands-on Data Scientist to design, build and deploy GenAI solutions across our business. You will work on real-world use cases, from intelligent automation to customer-facing AI tools, using LLMs and modern ML techniques.

In a regulated environment, you will collaborate with data engineers and software teams to productionise pipelines (RAG, embeddings, vector search) and ensure governance and risk controls. The role offers a generous benefits package and salary up to £75,000.

Qualifications

• 3+ years in Data Science / ML roles.
• Strong Python and SQL; hands-on model and data-pipeline building.
• Experience with Generative AI, prompt engineering and embeddings.
• Experience with LangChain, LlamaIndex, or similar.
• Experience integrating with model APIs (OpenAI or open-source).
• Exposure to cloud environments (AWS, GCP or Azure).
• Strong problem-solving and delivery-focused mindset.

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 structured and unstructured data, including text-heavy data.
• Collaborate with data engineering and software teams to productionise solutions.
• Identify high-impact use cases and contribute to the AI roadmap.
• Ensure solutions align with governance, risk, and compliance standards.
• Communicate insights to both technical and non-technical stakeholders.

Skills

Python

SQL

Generative AI

Prompt engineering

LangChain / LlamaIndex

Model APIs

Cloud experience

Data pipelines

Cross-functional collaboration

Problem-solving

Tools

OpenAI API

Pinecone

FAISS

Weaviate

Job description

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-onData 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 guard-railing 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
• 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