Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Scientist

Simpson Associates
York
1 week ago
Create job alert

Simpson Associates transforms raw data into actionable insights that drive positive change.


Our Microsoft data expertise, our specialist sector knowledge, plus our innovative and trusted advice and guidance are just some of the reasons clients choose to work with us.


Our mission is to help purpose-led organisations from within the public and private sectors to harness data as a lever for change and enable them to realise business value more quickly. We provide the full range of services to support organisations on their data transformation journey. From advisory support and data strategy, to developing Data & AI solutions, right through to providing a range of managed services.


We are a Microsoft Solutions Partner, holding Specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure and Migrate Enterprise Applications to Microsoft Azure, as well as holding Solutions Partner designations in Data & AI (Azure); Digital & App Innovation (Azure); Infrastructure (Azure) and Security.


But it's not just about the badges. We are proud to be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner, and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics.


Our company culture and people are at the heart of our business. We invest in our employees, encouraging them to reach their career aspirations and supporting them to achieve their potential through ongoing personal development plans and providing access to training and development.


With offices in York and Sheffield, and a team based throughout the UK – we champion creativity, innovation and collaboration in the workplace.


The Role


As part of our ambitious growth plans, we are looking for a self-motivated, technically excellent individual to join our talented delivery team alongside other Data Scientists, Data Engineers and Visualisation Experts. If you thrive working with modern technology, across a breadth of sectors and enjoy constantly learning, then this could be a fantastic opportunity for you.


The Data Scientist performs a critical role across our projects, focusing on both the design and delivery of our data science solutions. In this role you will be confident to put your technical skills into practice and develop high quality solutions. You will have a combination of both strong technical and consultancy skills, allowing you to deliver effective solutions, whilst working with our development team and stakeholders to ensure they meet requirements.


Key Responsibilities



  • Technically excellent in your field, able to perform a range of complex technical activities in a variety of contexts.
  • Provide data science expertise both within the delivery team and across our business to support pre-sales activities.
  • Working collaboratively with stakeholders to ensure the right solution is delivered effectively and efficiently.
  • Accurately estimate the project and manage the delivery to these estimates.
  • Run workshops and appropriately challenge the customer.
  • Create and document the technical design of solutions.
  • Identify and mitigate issues at the earliest opportunity, utilising experience to preempt these.
  • Design and manage testing, deployment and handover of solutions.
  • Reliably deliver projects within the time, cost and quality


Skills and Attributes Required



  • Expertise in data science across a breadth of technologies including Python, R and Databricks.
  • A proven track record of delivering data science solutions that have a real impact for organisations.
  • An understanding and interest in how data science and artificial intelligence can be used to disrupt the norm.
  • Confident leading data science projects from initial engagement through to successful delivery.
  • Able to articulate and demonstrate understanding of key data science models and how they relate to achieving business benefits.


Advantageous Qualifications and Skills



  • Microsoft Azure expertise including the use of DevOps, Data Lake, Azure Functions, Power BI.
  • Microsoft Azure Certification, particularly Microsoft Azure Data Scientist Associate DP-100.
  • Experience in project delivery and consultancy.
  • Prince 2 Agile or similar.
  • Experience in Blue Light, NHS, Local Government or Social Housing sectors.
  • Experience with MLOps workflows and frameworks.
  • The successful candidate will be required to obtain Security Clearance and NPPV Level 3.



Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.