Graduate Consultant: Data Science (AI/ML)

Decision Analysis Services Ltd
Bristol
1 week ago
Create job alert

** Closing for applications 9am Monday 19th May **

·      Location:Bristol, with travel to client sites

·      Salary:£30,000

·      Contract:Graduate-level, Permanent

*Please be aware that all offers of employment will be subject to a UK Security Clearance check. To gain this you ordinarily need at least 6 years’ UK residency. *

Decision Analysis Services Limited (DAS) is an independent professional services company.  Since 2007 we have provided services globally to more than 200 client organisations within the energy, defence, government, transport, and health sectors. Based in offices from Glasgow to Sydney, we support clients across five continents.

We specialise in bridging the gap between strategic planning and operational execution, developing enduring solutions to the uniquely complex issues faced by our clients.  We are experts in programme management, systems thinking, investment modelling, machine learning (ML), and data analysis. These unique skills, coupled with our extensive experience of engineering, regulatory practices and operations delivery enable us to develop sustainable, long-term solutions for our clients.


The Role

We are hiring for a Graduate Consultant to join our Analytics + Foresight Hub, an expert data team that sits within our Systems Consulting Practice. Applicants should have a genuine interest in data science, specifically seeking a role applying a wide range of techniques to a variety of real-world problems. Broadly, your role will involve using data to improve understanding and decision making.

As a Graduate Consultant at DAS Ltd, you will:

  • Aid the delivery of highly complex projects with national impact
  • Learn and apply a range of data science techniques, including:

- Data Visualisation (e.g., Dashboarding and Visualisation)
- Analysis (e.g., EDA, cost-benefit)
- Modelling (AI, ML, System Dynamics Modelling)

  • Be proficient in Python, and have experience of other languages such as R and Javascript
  • Drive efficiency and continuous improvement through each phase of a project and identify opportunities to add value
  • Demonstrate core consulting skills, such as listening and questioning, and the ability to build strong working relationships both with our clients, and the wider team at DAS Ltd
  • Collaborate with a team of experts in:

- Analytics
- Systems modelling
- Futures approaches

  • Engage in all stages of project delivery, as required:

- Requirements capture
- Data collection and pre-processing
- Model development and evaluation
- Presenting results

  • Develop data science-based solutions collaboratively with clients in multidisciplinary teams

Apply to DAS if you want to work on varied, complex projects within a business that values your development, where no two days are alike, and where you’ll have a tangible impact on critical infrastructure in the UK.

Requirements

About You

You have a keen interest in AI/ML and have built out your technical data science skills through study. You will enjoy learning and developing your technical skills with hands-on delivery of consultancy assignments directly to clients, working independently or within client/consultant teams, and contributing to the continued development of the practice.

Applicants should be able to demonstrate:

  • Degree or equivalent within a STEM or statistically based field (science, technology, engineering, maths, or psychology)
  • Knowledge in the development and application of data science and data analytics approaches such as:

- Knowledge and experience in programming e.g. Python and/or R
- Experience working with complex structured, unstructured and disparate datasets
- Knowledge of ML / AI techniques

  • The ability to learn and build understanding of complex subject matter at a fast pace
  • Self-motivation and proactivity
  • Great analytical and problem-solving skills
  • Excellent communication and presentation skills, both written and verbal, including conveying technical results to a non-technical audience
  • UK nationality and UK primary residency for the past 5 years

Benefits

In return for your skills, we offer a genuinely people focussed culture. DAS is dedicated to offering more than just a job. We're committed to cultivating your professional development and success.  Employee wellbeing is at the forefront of our thinking. We actively support a healthy work-life balance and champion workplace flexibility, enabling you to prioritise the things that matter to you.

  • £30,000 Graduate starting salary
  • Private pension, private healthcare for you and your immediate family, and private dentalcare
  • Death-in-service and income protection schemes
  • 25 days holiday plus UK bank holidays, and additional days to work on environmental and community activities.
  • Discretionary office closure over Christmas
  • Personal carbon offset through company scheme
  • Access to professional and personal development platform, Udemy


DAS is an Equal Opportunities employer. We support the principle of Equality and Diversity in employment wholeheartedly and oppose all forms of unlawful or unfair discrimination. We commit to providing equality, fairness, and respect for all in our employment, and all those seeking employment at DAS.

Related Jobs

View all jobs

Graduate Consultant

Graduate

Data Science Manager

Junior Data Scientist (London Area)

Junior Data Scientist (London Area)

Advanced Analytics & Reporting Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.