At a Glance
- Tasks: Design and develop data-driven applications and AI-enabled systems.
- Company: Join a high-impact programme in London with hybrid working.
- Benefits: Outside IR35 contract, long-term potential, and flexible work arrangements.
- Why this job: Work on cutting-edge data platforms and make a real impact in AI.
- Qualifications: Strong experience in data engineering, Python, and AWS required.
- Other info: Ideal for those with active SC Clearance and a passion for innovation.
The predicted salary is between 48000 - 72000 Β£ 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 β a mixture of the London office and remote
- Outside IR35 contract
- Long-term programme with extension potential
Apply
If youβre 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 employer: Searchability
Contact Detail:
Searchability Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist / Engineer - Outside IR35 Contract
β¨Tip Number 1
Network like a pro! Reach out to your connections in the data science and engineering fields. Attend meetups, webinars, or even local events in London. You never know who might have the inside scoop on a great opportunity!
β¨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 and cloud environments.
β¨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with LangChain, LangGraph, and AWS. Practice common data engineering and data science interview questions to boost your confidence.
β¨Tip Number 4
Donβt forget to apply through our website! Weβve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Letβs get you that contract!
We think you need these skills to ace Data Scientist / Engineer - Outside IR35 Contract
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in data engineering and science, especially with tools like LangChain and AWS. We want to see how your skills match the job description, so donβt 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 any metrics or outcomes that demonstrate your impact.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless itβs relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Donβt forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Searchability
β¨Know Your Tech Stack
Make sure youβre 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 youβll likely be asked to discuss your hands-on experience with these tools.
β¨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.
β¨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 or regulated environments, as this could come up during the interview.
β¨Ask Insightful Questions
Prepare a few thoughtful questions about the teamβs current projects or the companyβs approach to data engineering and AI. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.