Data Services


Data Science & AI

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Overview

We specialise in making powerful data science accessible to your organisation, approachable to your teams and applicable to your challenges.

We offer transparent, explainable machine learning and artificial intelligence that delivers predictive models that your users can understand and trust.  We follow ethical best practices to design solutions and validate our results routinely. We deliver results that are reproducible and explainable. By helping you find relationships and patterns hidden in your data, we’ll unveil insights and future proof your investment by monitoring our solutions over time.

Working with us as your partner, you will be empowered to deploy data science into your current working practices to increase productivity and drive efficiency. 

What we deliver

We deploy data science that is impactful today and builds a capability you can continue to develop tomorrow.

  1. Developing Data Science solutions: We are a trusted data science partner, of the public sector and we specialise in developing solutions across Health & Care, Defence, Central and Local Government. We work in some of the most sensitive and fast- paced environments, delivering data science to inform high-profile policy and mission-critical decision making. We specialise in: Predictive analytics, forecasting and risk modelling Machine learning, deep learning, and reinforcement learning  Natural Language Processing including Topic modelling, Document labelling and classification, Named Entity Recognition, Named Entity Linking, Knowledge graphs and ontologies, and Sentiment analysisStatistical analysis   (Task) Automation
  2. Proof of Concepts: Science is about experimentation and evidence. Data science is no exception. Perhaps you have an idea to develop, or you’ve been inspired by a data science use case you’ve seen elsewhere. We can help you validate this in your context and advise on both the legality, and the ethics of the concept. Our approach to developing proof of concepts will allow you to rapidly develop a minimum viable product and test this with users, all at minimal cost. Together, we can provide the evidence that your concept is worth building into reality.
  3. Data-Science-as-a-Service: Building, nurturing, and developing an effective data science team is challenging. We should know, we’ve spent years doing it. We can help you shortcut some of that challenge by embedding talented teams of data scientists into your organisation. And if you have ambitions to build your in-house team, we will support you with defining functions and roles, interviewing candidates and even onboarding your new recruits. Our deep sector experience means our teams will hit the ground running on day one, allowing you to immediately begin delivering at scale and building the future at pace.
  4. Use Case Evaluation: There are almost endless use cases for the application of data science within the public sector, with the challenge being identifying those which can really deliver value. We’ll step through your ideas and help you understand what is feasible, what is likely to be impactful and what you’ll need to develop to realise that value. Combining qualitative research with your stakeholders and quantitative assessment of your data and its potential predictive power, we can provide an evaluation of your use case that makes the case for development.

Tools of specialty

Python

Python is an open source, flexible and beginner-friendly programming language that lets you work quickly and integrate systems more effectively. Our team are specialists at using Python for data science applications in the public sector.

Azure Machine Learning

Azure Machine Learning empower data scientists and developers to build, deploy and manage high-quality models faster and with confidence. Innovate on a secure, trusted platform designed for responsible machine learning (ML).

Amazon SageMaker

Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.

Apache Spark™

Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Our approach

  1. Discover: Data science provides your organisation with an ever-expanding set of innovative solutions to real-world problems. Our user researchers are here to help you uncover the opportunities where we can have the most valuable impact. We’ll use interviews and workshops to understand business requirements, gather user needs and define an engaging problem statement that is backed up by a firm business case. We’ll explore any attempts that have already been made to address the problem, source the data available to support the requirements, then validate all of our findings with stakeholders. 
  2. Design: Our data scientists will use research findings to explore a range of possible solutions, approaches and methodologies. We’ll propose a design that can be developed from proof-of-concept to minimum viable product and through to a fully productionised model. We advocate for explainable and interpretable models, there are no black boxes. We’ll explain our work throughout, providing technical and non-technical documentations in a format that works best for your team. Our design process rigorously controls for any bias against groups or individuals, providing complete transparency around our selection of model characteristics and ensuring we represent the populations you serve.
  3. Develop: Our integrated engineering teams ensure we can develop those innovative designs at the scale you need to suit your use case, timeline and budget. Once we’ve developed the maths, we can build interactive dashboards to allow you to explore your data, drill down and filter your insights. We develop your solution through continuous integration, following coding best practices, versioning, and unit testing to build future-proof solutions. By reducing the need for your users to undertake repetitive, time-consuming, and error-prone tasks, we give them time to focus on using the outputs to make better informed decisions.  

  4. Deploy: We don’t just experiment, our team have all the capabilities needed to deploy your new data science solution into production, and into the hands of decision makers. Whether it is embedded into your existing systems and processes, developed on a bespoke platform, or integrated with a third-party, we will ensure the user experience is as seamless as possible. Our intuitive solutions, accessible documentation and hands-on and training sessions  will allow your team to confidently use the analysis and put it into the hands of decision makers across your organisation.

Case Studies

Becoming a Data Driven Organisation

The development and use of digital technologies in recent years has led to a growth in the volumes of data that is being collected, stored, and shared within organisations. Data now influences every part of our lives from recommendations to new TV shows or which adverts or friends we see content from first on social media.

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MIBI Engineering - The Driver and Vehicle Licensing Agency (DVLA)

They look after more than 49 million driver records and more than 40 million vehicle records. They collect around £7bn a year in vehicle excise duty (VED). Their goal is to get the right drivers and vehicles on the road, as simply and safely as possible.

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