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- Tasks: Design and develop data-driven applications for advanced analytics and AI solutions.
- Company: Join a high-impact programme in a dynamic London tech environment.
- Benefits: Hybrid working, long-term contract, and potential for extension.
- Why this job: Work with cutting-edge LLM technology and make a real impact in data science.
- Qualifications: Strong experience in data engineering, Python, and AWS required.
- Other info: Ideal for SC cleared candidates seeking innovative data projects.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid Working)
Contract: Outside IR35
Clearance: Active SC Clearance required
Overview
We are seeking an experienced Data Science / Data Engineering Contractor to join a high‑impact programme based in London, working on advanced data‑driven and LLM‑enabled platforms. This is an outside IR35 contract offering hybrid working, ideal for contractors with strong experience building scalable data pipelines, analytics services, and AI‑enabled systems in cloud environments.
You will play a key role in designing, developing, and operationalising data‑centric solutions that underpin modern AI and LLM‑based applications.
Key Responsibilities
- Design and develop data‑driven applications and services that support analytics, ML, and LLM use cases
- Build and orchestrate data workflows and LLM pipelines using LangChain and/or LangGraph
- Develop scalable data processing and backend services using Python
- Work with structured and unstructured data to enable analytics, experimentation, and AI model integration
- Contribute to frontend or full‑stack development using JavaScript / TypeScript where required
- Deploy, scale, and maintain data and AI platforms on AWS
- Collaborate with the wider team to deliver end‑to‑end data solutions
- Ensure data solutions meet security, performance, and maintainability standards expected in secure environments
Required Skills & Experience
- Strong commercial experience in data engineering and/or data science roles
- Hands‑on experience building data pipelines and AI‑enabled workflows using LangChain and/or LangGraph
- Excellent Python development skills for data processing and backend services
- Solid experience with JavaScript and TypeScript
- Proven experience deploying data platforms and services on AWS
- Strong understanding of data architecture, APIs, and cloud‑native development
- Active SC Clearance (must be in place and transferable)
Desirable Experience
- Experience supporting LLM‑based analytics, retrieval‑augmented generation (RAG), or agentic data workflows
- Exposure to MLOps, data observability, monitoring, or model lifecycle management
- Experience with large‑scale data processing, feature engineering, or analytics platforms
- Previous experience working in government, defence, or highly regulated environments
Working Arrangements
- Hybrid working – a mixture of the London office and remote
- Outside IR35 contract
- Long‑term programme with extension potential
Apply
If you’re an SC Cleared Data Engineer or Data Scientist looking for an outside IR35 contract working with modern data platforms, LLM frameworks, and AWS, please apply with your latest CV.
Data Scientist / Engineer - Outside IR35 Contract in London employer: Searchability®
Contact Detail:
Searchability® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Engineer - Outside IR35 Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and engineering fields. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI workflows. Use platforms like GitHub to share your code and demonstrate your expertise in Python, LangChain, and AWS.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of data architecture. Be ready to discuss your experience with scalable data solutions and how you've tackled challenges in previous roles. Practice common interview questions related to data engineering and AI.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Data Scientist / Engineer - Outside IR35 Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and data science, especially with tools like LangChain and AWS. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Showcase Your Projects: Include specific examples of data pipelines or AI-enabled workflows you've built. We love seeing real-world applications of your skills, so share the impact your work has had on previous projects.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Searchability®
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, LangChain, and AWS. Brush up on your knowledge of data pipelines and AI workflows, as you’ll likely be asked to discuss your hands-on experience with these tools.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built scalable data solutions or worked with LLMs. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Security Standards
Since this role requires active SC Clearance, be ready to discuss how you ensure data security and compliance in your work. Familiarise yourself with the security standards expected in government and defence environments, as this could come up during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the tech stack they use, and their approach to data-driven applications. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
