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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Science Consultant - **Company:** Accenture - **Location:** Manchester, UK - **Salary:** £61,829.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Big Data, Cloud Computing, Databases, D3.Js, Extract Transform Load (ETL), Data Presentation, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Tensorflow, SQL Databases, Unstructured Data, Pytorch, Large Language Models, Deep Learning, Keras, Pyspark, HuggingFace, Xgboost, Markov, Software Library, Programming Languages - **Published:** August 17, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5845244231 ## About the Role * Relevant work experience in data science, machine learning, and business analytics * Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) * Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. * Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. * Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. * Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. * Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. * Experience of using Cloud technologies eg. AWS, GCP or Azure. * Specialised visualisation techniques eg. D3.js, ggplot etc. * Strong verbal/written communication & data presentation skills * Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field Set yourself apart: * Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation * Ability to successfully build relationships with clients and stakeholders * Mastery of problem solving and solutioning * Proven history and background in statistics/mathematics/macroeconomics ## Description * Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. * Understand business requirements and support the development of business cases. * Run discovery analytics to identify new and innovative opportunities. * Partner with developers and engineers to deploy machine learning algorithms to deliver business value. * Define approaches to embed and scale machine learning models. * Build reusable assets, solutions and develop best practices for current and future business problems. * Consult on complex analyses and advanced machine learning methods. * Communicate and provide guidance to senior client leadership and teams. * Contribute data science expertise to new sales activities. * Shape DS Strategy and the delivery of DS solutions. * Operate across multiple industries and functions. * Develop others by bringing your unique knowledge and skillsets to the wider practice. ## Related Videos - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)