Data Scientist Contractor

London
10 months ago
Applications closed

Related Jobs

View all jobs

Project Data Scientist

Exceptional Data Scientists

Applied Data Scientists

Senior Genomic Data Scientist - 2 Year FTC, Adult Population Genomics Programme (we have office locations in Cambridge, Leeds & London)

Senior Genomic Data Scientist - 2 Year FTC, Adult Population Genomics Programme (we have office locations in Cambridge, Leeds & London)

Data Scientist - Contract - 12 months

Azure Data Scientist - Contract

đź’° Rate: ÂŁ600 per day (Outside IR35)
📍 Location: Central London (Hybrid - 1 day per week onsite)

About the Role:

We are seeking an experienced Azure Data Scientist to join a forward-thinking team on a contract basis. You'll be responsible for designing, developing, and deploying machine learning models and AI solutions using Azure's cloud ecosystem. This role is perfect for someone who thrives on solving complex data challenges and delivering insights that drive business decisions.

Key Responsibilities:

Design and implement machine learning models using Azure Machine Learning (AML) and related services.
Develop data pipelines and integrate models into production using Azure Databricks, Synapse, and Data Factory.
Work with large datasets, applying AI/ML techniques for predictive analytics and optimization.
Deploy and monitor machine learning models in production using MLOps best practices.
Collaborate with data engineers, analysts, and stakeholders to define data strategies and ensure business value.
Optimize data storage, processing, and retrieval using Azure Data Lake, SQL Server, and Cosmos DB.

Required Skills & Experience:

Strong experience in Data Science & Machine Learning with a proven track record in Azure environments.
Proficiency in Python, PySpark, and SQL for data manipulation and model development.
Hands-on experience with Azure Machine Learning (AML), Databricks, Synapse, and Cognitive Services.
Solid understanding of MLOps, CI/CD pipelines, and deployment automation.
Familiarity with Azure DevOps, Kubernetes (AKS), and containerization (Docker) is desirable.
Experience in Natural Language Processing (NLP), Computer Vision, or Deep Learning is a plus.
Strong problem-solving skills with the ability to work independently and in cross-functional teams

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.