> Markdown version of [/jobs/ext/2066953-data-delivery-consultant](https://www.wearedevelopers.com/jobs/ext/2066953-data-delivery-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Delivery Consultant

- **Company:** Deliveryhelp
- **Location:** Wakefield, UK
- **Salary:** £60,000.0 - £75,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Raw Data, System Availability, Git, Data Delivery
- **Published:** August 15, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/44048799/

## About the Role

The opportunityAnalyse large, unfamiliar datasets to identify patterns and commercial opportunitiesAssess data availability, quality and suitability for AI/ML applicationsValidate business hypotheses through rigorous analysisRecommend the most appropriate analytical, ML or agentic approachTranslate findings into clear requirements for engineering teamsSupport product ownership and keep customers aligned throughout deliveryHelp ensure solutions achieve the intended business outcome
About you2+ years' professional experience, including recent hands-on AI or machine learning workStrong Python, Git and data analysis skillsExperience contributing to solutions within an engineering or product environmentFamiliarity with traditional ML, NLP and emerging agentic AI patternsAble to communicate complex findings clearly to technical and non-technical audiencesCommercially curious, proactive and comfortable working directly with clientsFluent professional English; German would be advantageous
This is an excellent opportunity for someone who enjoys turning ambiguous business problems and raw data into practical, production-ready AI solutions, while developing broader consulting, product and delivery experience.

## Description

We are hiring for a fast-growing AI technology company building enterprise-grade agentic AI solutions that transform how organisations operate.
This is a hybrid data and delivery role, weighted heavily towards hands-on discovery and analysis.
You will explore complex client datasets, assess the feasibility of AI/ML use cases and generate the insights that shape new solutions, before supporting engineering teams as those solutions move into production.


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [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)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [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)