Contract - Data Scientist

Deloitte LLP

City of London

4 months ago

Applications closed

Related Jobs

View all jobs

Contract Principal Data Analyst - Hybrid - Reading

Contract Azure Data Engineer

Contract Finance & Data Analyst: SQL, Forecasting, FP&A

Contract Data Analyst for AI/ML Insights & Growth

Contract Data Engineer - Azure ETL Pipelines (6m)

Contract Outside IR35 - Data Scientist

Location: London Hybrid. Travel to the London office on an adhoc basis

Duration: 6months

Contract Start Date:1 September 2025

Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.

The Role

We are looking for a Data Scientist to join our Data and AI Team supporting internal service delivery transformation projects across Tax and Legal. You will be a Python and Azure expert in designing and building cutting-edge generative AI solutions for complex challenges. You will r eport to the Technical Lead and c ollaborate with data scientists, software engineers and market specialists across the team to build and deliver high-impact solutions.

Essential Skills and Experience

Be an expert Python programmer proficient in frameworks/libraries such as: Numpy, Pandas, Scikit-Learn, Langchain, Llamaindex, Azure AI Foundry amongst others.
Must have Azure and be an expert with R&D on generative AI techniques
Practical experience with GenAI techniques such as Finetuning, Prompt engineering, prompt orchestration, retrieval methods (RAG and Knowledge graph techniques), Agentic Systems etc.
Knowledge of Agentic frameworks such as LangGraph, Azure AI Foundry Agents, Semantic Kernel Agents etc.
Knowledge of prompt orchestration and optimisation techniques such as Azure Semantic Kernel, Prompt flow etc.
Skilled at working with AI engineers to write production ready python code and implementing robust quality control methods in solutions
Have knowledge of basic software engineering concepts and best practices for team-based programming, including versioning, testing, and deployment
Adept at creating highly optimised workflows and solutions
Deep knowledge of various Microsoft Azure AI services
Strong data analytics and visualisation skills specifically using tools like Excel and Alteryx
Knowledge of Responsible AI practices

Deliverables: Responsibilities but not limited to:

Build and deploy Python based AI applications
Research and design advanced experiments and prototypes using cutting edge techniques, specifically in GenAI
Develop various LLM assisted frameworks
Design and write clean, maintainable, auditable and well documented codebases
Implement testing pipelines and evaluation frameworks
Good documentation practices to ensure seamless operations
Exceptional teamwork and communication skills working in a cross functional environment with other data scientists, software engineers and T&L domain experts

IR35

As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (‘PSCs’). All Associates must contract under PAYE arrangements through a Deloitte approved ‘Employment Company’ (aka ‘umbrella company.’)

#J-18808-Ljbffr

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

Industry Insights

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

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.